AI 2.0 The Future of Learning in India

20 Feb 2026 10:00h - 11:00h

AI 2.0 The Future of Learning in India

Session at a glanceSummary, keypoints, and speakers overview

Summary

The session opened with Speaker 1 announcing a joint Centre for Policy Research and Governance (CPRG) and Future of Society initiative that has already produced reports on AI in higher education and is now releasing a new study on AI use in school education [1-9].


Pranav Kothari presented the survey, noting that roughly half of private-school students in Delhi use generative-AI tools multiple times a week, mainly for information search and writing assistance, while usage for structured tasks such as calculations remains low [25-27][32].


Students perceive AI as helpful for both school and entrance exam preparation, yet they also report frequent hallucinations and lower accuracy for logical or numerical subjects [39-41][45-48].


Despite a strong preference for traditional resources like YouTube over AI platforms, respondents view AI as a supplementary aid rather than a replacement for human teachers [50-52][56-58].


Professor KK Aggarwal emphasized that AI adoption is outpacing earlier IT adoption and warned that AI must augment creativity without becoming a shortcut that erodes thinking skills [78-84].


A senior commentator highlighted AI as a 360-degree paradigm shift, arguing that institutions-not nations-will determine global competitiveness and that India must reimagine its education system for the long term [97-104][108-115][118-124].


Pankaj Arora described a structural shift in knowledge production, citing rapid, technology-driven curriculum revisions and asserting that AI should function as an assistant requiring human supervision and ethical oversight [156-166][170-176][178-184][190-199].


Patil outlined the massive scale-up of AI usage compared with past technologies, pointing to infrastructure gaps such as limited ICT resources in many schools and the need to train millions of teachers in AI literacy [214-224][230-236][240-250].


He also noted that AI curricula are being introduced from grade three to demystify the technology and that AI tools are already being used to translate local languages and monitor dropout rates, illustrating both potential and the risk of misuse [232-239][260-274].


Aditi Nanda from Intel described industry collaborations that provide AI-enabled translation, offline tutoring devices, and partnerships with startups to create localized, low-hallucination content for K-12 learners [285-340][342-350][354-360].


Suresh Yadav called for a shift from a consumption-driven to a creation-driven nation, proposing that universities become problem-solving hubs and that the three education tiers be interconnected through technology [386-401].


Patil and Pankaj further proposed AI-oriented regulatory frameworks where 70-80 % of assessments are automated, stressing the importance of research ethics, Indian language support, and AI-driven mentorship programs [404-412][415-422].


The panel concluded that AI will be an indispensable, but carefully governed, component of India’s future education ecosystem, requiring integrated curricula, ethical safeguards, and coordinated effort across schools, higher education, industry, and government to realize the vision of a “Vixit Bharat 2047” [210-214][463-465].


Keypoints


Major discussion points


AI usage among school-age students is already widespread but uneven.


The survey in Delhi shows that about half of private-school students use generative-AI tools multiple times a week, mainly for information search and writing assistance, and they perceive AI as helpful for exam preparation. However, students report frequent “hallucinations,” lower accuracy for logical or numerical tasks, and a strong preference for traditional human teachers over AI tutors.  [24-27][28-33][39-46][46-48][50-57]


Integrating AI into India’s education system faces massive infrastructural and equity challenges.


Panelists highlighted the digital-divide across urban, rural and tribal schools, the limited ICT resources in many institutions, and the need to up-skill millions of teachers. They cited rapid adoption curves (e.g., ChatGPT reaching 5 crore users in 40 days) contrasted with the slow rollout of computers in schools, stressing that AI-driven reforms must address access, language barriers, and ethical use. [214-222][224-236][239-247][254-262][273-276]


Re-imagining curricula and assessment: AI as a supplement, not a replacement.


Speakers argued that AI should enhance creativity, mentorship and adaptive learning while preserving human judgment. Proposals included AI-driven curriculum revision, AI-assisted assessment (70-80 % AI-based evaluation for teacher-education regulators), and the development of Indian-language, culturally-relevant AI content to avoid over-reliance on Western models. [78-84][156-170][176-190][404-410][420-424]


Strategic national vision: positioning India as a global AI leader through education.


The discussion linked AI adoption to India’s long-term economic ambitions (e.g., surpassing $70 trillion GDP per-capita standards) and geopolitical standing, emphasizing that world-class universities and AI-centric policies are essential for “AI leadership” and for achieving the “Vixit Bharat 2047” goal. [97-104][108-115][118-124][129-136][138-144][140-144]


Overall purpose / goal


The session was convened to launch the CPRG “AI in School Education” report, present its key findings, and use the report as a springboard for a broader dialogue on how AI will reshape learning, skill development, and institutional design in India. The participants aimed to identify challenges, propose policy and curriculum reforms, and articulate a collective vision for an AI-enabled education ecosystem that can drive national competitiveness.


Tone of the discussion


– The opening remarks and Pranav’s presentation were formal and data-driven, focusing on survey results.


– As the panel progressed, the tone became analytical and cautionary, highlighting digital-divide, accuracy issues, and ethical concerns.


– Later contributions (e.g., Professor Aggarwal, Ramanan, Patil, and the Intel representative) shifted to an optimistic and visionary tone, emphasizing opportunities, national ambition, and transformative reforms.


Overall, the conversation remained constructive and collaborative, moving from factual reporting to strategic aspiration while consistently acknowledging the risks and required safeguards.


Speakers

Speaker 1 – Moderator/host (role not explicitly stated in the transcript).


Pranav Kothari – Presenter / researcher (role not explicitly stated).


Professor KK Aggarwal – President, South Asian University; former Vice-Chancellor who developed Indraprastha University; expertise in IT and higher-education development [S10][S11].


Pankaj Sir – Chairperson, National Council of Teacher Education (NCTE); former Head and Dean, University of Delhi; expertise in curriculum development and teacher education [S4].


Suresh Sir – Executive Director, Commonwealth Secretariat (as introduced in the panel).


Patil Sir – Administration Secretary, School Education (also involved in higher-education initiatives).


Speaker 2 – Senior official / moderator (specific title not mentioned).


Speaker 3 – Industry representative (speaks about Intel’s work and ecosystem collaborations).


Additional speakers:


Aditi Nanda – Director, Education and Industry, Intel (introduced as a panelist).


Dr. Namanan (Ramananji) – Addressed by Speaker 3; likely a senior official/moderator (title not specified).


Full session reportComprehensive analysis and detailed insights

Opening remarks – Speaker 1 opened the session, welcomed participants and announced a joint initiative between the Centre for Policy Research and Governance (CPRG) and the “Future of Society” project. The partnership has already released a report on AI use in higher education and is now unveiling the AI-in-School Education report [1-9]. He noted rising public anxiety that current skill sets may become obsolete as emerging technologies reshape jobs, positioning the new report as a response to these concerns [10-14].


Survey findings – Mr Pranav Kothari presented the key results of the “AI in School Education” survey, which was conducted in Delhi by interviewing students from private schools [17-24]. Approximately half of the respondents use generative-AI tools such as ChatGPT or Gemini multiple times a week [25-27]. Their main uses are searching for academic information and obtaining writing assistance; science students employ AI more for concept learning than for structured calculations, where accuracy remains low [32]. Students view AI as helpful for both school-level and entrance-level exam preparation [39-41], but they also report frequent “hallucinations” and reduced reliability for logical or numerical tasks [45-48].


Aggarwal’s perspective – Prof KK Aggarwal was asked, “While working with President Mukherjee you have introduced a lot of technological tools…?” [78-84]. In his response he highlighted the speed of AI adoption, noting that it outpaces the earlier IT wave. He cautioned that AI should supplement creativity and must not become a shortcut that diminishes thinking skills [78-84]. He stressed that academia’s challenge is to ensure AI enhances, rather than replaces, human cognition.


Speaker 2’s 360° paradigm shift – Speaker 2 framed AI as a 360° paradigm shift that will determine whether institutions become “fossilised” or emerge as global leaders [97-100]. He linked this transformation to India’s long-term economic ambitions, arguing that world-class universities and AI-centric policies are crucial for achieving a $70 trillion-per-capita GDP vision and for securing geopolitical influence [108-115][118-124]. He also highlighted AI’s capacity to dismantle language barriers, thereby expanding educational access across the country [138-144][140-144].


Arora on structural change – Prof Pankaj Arora described a structural and epistemic shift in knowledge production, citing rapid, technology-driven curriculum revisions completed without traditional meetings or large budgets [156-170]. He positioned AI as an “assistant” that requires human supervision, arguing that teachers should evolve into mentors, ethical guides, and designers of learning experiences [176-184][190-199]. Arora proposed an AI-oriented regulator for teacher education, where 70-80 % of assessments would be AI-based, and called for the development of Indian-language, culturally-relevant AI content to avoid over-reliance on Western models [404-410][420-424].


Patil on scale-up and infrastructure – Mr Andrao B. Patil highlighted the massive scale-up of AI usage, comparing ChatGPT’s 5 crore users in 40 days with the decades-long diffusion of earlier technologies [214-219]. He noted that only a fraction of Indian schools possess adequate ICT infrastructure (≈ 4 lakh of 15 lakh have computers or tablets) [221-224] and that millions of teachers lack AI literacy [221-227]. Patil announced that AI curricula are being introduced from Grade 3 to demystify the technology [232-239]. He cited pilot projects using AI for real-time language translation and dropout monitoring [254-262], and warned that treating AI as a human-like entity or misusing it could create mental-health stress for students [273-276]. He also mentioned that the Wadhani Foundation has started an AI school in one of the IITs[215-218] and thanked Sarvam for its support [219-221]. Patil emphasized the establishment of an AI-Centre of Excellence (AI-COE) at IIT Madras[214-219] and quoted a report stating that “one year of schooling yields a 24 % increase in labour output” [224-226]. Both he and Prof Arora used the exact phrase “Vixit Bharat 2047” to describe the long-term vision [156-170][210-214].


Industry-academia collaborations – Ms Aditi Nanda (Intel) described partnerships that deliver AI-enabled translation, offline tutoring devices, and collaborations with startups to create locally relevant, low-hallucination content for K-12 learners [285-340]. She showcased a device that runs AI entirely on-device, providing voice-to-voice translation without internet connectivity, and cited Dr Kamakoti’s Tamil-to-11-language translation tool at IIT Madras as a concrete example of multilingual AI deployment [332-337]. Intel’s programmes such as Unnati and “Future for Workforce” also offer AI curricula, internships, and AI-powered teaching tools that bridge industry needs and classroom practice [321-328].


Yadav’s national vision – Dr Suresh Yadav expanded the discussion to a creation-driven economy, urging universities to become problem-solving hubs rather than mere degree-granting bodies. He called for seamless integration of primary, secondary, and tertiary education through technology [386-401]. This aligns with the broader goal of “Vixit Bharat 2047,” where AI serves as the spine of the education system and a catalyst for exponential economic growth [210-214][463-465].


Consensus – Across the panel there was clear agreement that AI transformation demands a fundamental redesign of institutional structures, curricula and governance [1-13][78-84][97-100][197-199]. All speakers agreed that teachers must remain central as mentors and ethical guides while AI functions as an augmentative tool [78-84][176-184][232-239]. The need to build AI literacy among teachers and to bridge the digital-infrastructure divide was repeatedly stressed [221-227][192-195]. Participants also concurred that AI can dismantle language barriers, with both public-sector labs and private-sector devices offering multilingual translation [138-144][292-309][332-337].


Key disagreements


1. Regulatory automation vs. reliability – Arora’s proposal for an AI-driven regulator that would automate 70-80 % of assessments [404-408] conflicted with Kothari’s evidence of frequent hallucinations and low accuracy in logical/numerical tasks [45-48] and with Aggarwal’s caution that over-reliance on AI could shortcut creative thinking [78-84].


2. Pace of rollout – Patil emphasized a “quantum jump” in AI adoption and called for rapid scaling of AI-COEs [214-219][239-244], whereas Kothari warned that current tools still suffer from reliability issues [46-48] and that equity gaps remain stark [224-236].


3. Governance model – While Arora advocated a highly automated regulator [404-408], Speaker 1 and Aggarwal called for broader, human-centric, multi-stakeholder oversight to preserve creativity and ethical standards [10-13][78-84].


Key take-aways


– AI use among private-school students in Delhi is high (≈ 50 %) and focused on information search and writing assistance.


– Students find AI helpful for exam preparation but experience hallucinations and lower accuracy in logical subjects.


– AI should complement, not replace, teachers, who must act as mentors and ethical guides.


– AI represents a 360° shift that will fossilise institutions that do not adapt.


– India must aim for global AI leadership, leveraging AI to break language barriers and expand access.


– Higher-education reform must move beyond incremental tweaks to skill-based, problem-solving curricula powered by AI.


(These points are drawn from the detailed discussions above [25-27][39-41][45-48][56-58][78-84][97-100][156-170][214-219][285-340][386-401].)


Proposed action items


– Publish and disseminate the AI-in-School Education report.


– Establish an AI-oriented regulator for teacher education with a phased increase in AI-based assessment.


– Scale national programmes such as NPST and NMM that use AI for mentor-mentee matching.


– Introduce AI curricula from Grade 3 onward to build early AI literacy.


– Launch widespread teacher-training programmes on AI tools.


– Create AI Centres of Excellence and MOUs with technology firms (e.g., IIT Madras, Intel) to provide devices and internships.


– Integrate school and university ecosystems through outreach programmes (e.g., COEP’s 100-school engagement).


– Develop offline, on-device AI solutions to mitigate connectivity constraints and hallucination risks.


– Embed Indian languages and cultural content into AI models to ensure relevance and ethical use [404-410][420-424][214-219][232-239][321-328][386-401].


Unresolved issues – How to reliably mitigate AI hallucinations; how to fund and implement infrastructure upgrades in rural and tribal schools; how to design standardised adaptive-learning frameworks that outperform existing YouTube/ICT resources; how to ensure ethical oversight and data-privacy in AI-driven assessment; and how to coordinate a coherent governance model that balances automation with human oversight. Addressing these questions will be essential for realising the vision of an AI-enabled, inclusive, and globally competitive Indian education system.


Conclusion – The panel concluded that AI will be an indispensable, yet carefully governed, component of India’s future education ecosystem. Realising the “Vixit Bharat 2047” ambition will require integrated curricula, ethical safeguards, coordinated multi-stakeholder effort, and sustained investment in both technology and human capacity [210-214][463-465].


Session transcriptComplete transcript of the session
Speaker 1

Thank you everyone for joining this session. Before we start the session, I would like to tell you about the joint initiative of CPRG and Future of Society. The Centre of Policy Research and Governance is a policy think tank that is continuously researching policy and governance issues in different fields. Two years ago, the Emerging Technology Centre was established by the International Cooperation Centre for the Development of Technology and the Relation of Technology and Society. We have developed a Future of Society project to study the relationship between technology a centre developed here. Under Future of Society, we are continuously working on the various sector, producing report, doing a lot of stakeholder consultation. In this light, just one year before, we have published one report usage of AI in higher education.

Now, we have just launched going to release one more report, usage of AI in school education. In next month, we are going again going to launch report, Future of Job. There is a lot of fear, and this fear is not just outside it is also coming in people’s minds. Whether their acquired skill will survive in the next 5 or 10 years or not, as emerging technologies are coming. Along with this, there is also a fear that it will not happen and the type of tool that is being developed, human skills or human mind will become irrelevant. By keeping all these things in mind, what kind of transformation is happening, what kind of future skills, what kind of future jobs are coming, and they are going to be transformed, we are going to launch a report on that.

But that is in the next month. But the report that we are going to launch now, that is AI in school education, and to launch that, I call all my guests and Mr. Pranav to the stage. Thank you.

Pranav Kothari

Now we have a short presentation with some salient findings from our study. So AI in school education, this is a survey report that we have conducted late last year as part of our ongoing internal activities on mapping AI usage among students in India and various sectors in India. So over the past year, CPRG has now released two reports on AI adoption in education. So last year, we released a report on AI adoption in higher education. This was the first ever survey -based report in India on mapping everyday AI use among college students. Today, now we are launching our new report on AI adoption in school education. Both studies have been conducted in Delhi, where we have actually gone to students, interviewed them to understand what are they using AI for, how often they are using AI for, and what are various challenges and opinion on usage of AI.

So firstly, if we just compare our broad findings, what we find is that AI use among school students remains relatively high, though marginally lower than what we found among college students within the same city because both studies were conducted in Delhi. Yet, what we find is that nearly 50 % of students, and these are, of course, these are students from private schools in Delhi, that was our limited sample, almost 50 % of them use AI based tools. These could be generative AI platforms or other AI tools multiple times a week. What are patterns of AI or edtech use as per academic stream? So what we’re finding is that while AI use, especially generative AI platforms such as strategy, GPT, Gemini remains relatively high.

What this is also leading to is also leading to some sort of a challenge to traditional methods of learning. And edtech platforms that have become extremely prominent and widely used over the past few years. Then what are students using AI for? So apart from asking how often are students using AI, we also try to delve into what are they using AI for and what we find in our study is that AI use is essentially concentrated for generally searching for new academy for academic information while studying or writing assistance and this of course varies across streams because some students may be more into more engaged in practice solving, question solving and AI use depends on depends on usage but however what we find is that among science students for instance while there’s high AI usage for learning concepts there is very limited usage for structured tasks like calculations or calculations or solving questions because that is where various AI platforms still have relatively low accuracy.

Now what is perceived helpfulness of AI for school exams and exams? So what is perceived helpfulness of AI for school exams and exams? So what is perceived school exams and exams? So what is perceived helpfulness of AI for school exams and exams? So what is perceived helpfulness of AI for school exams and exams? So what is perceived helpfulness of AI for school exams and exams? So what is perceived helpfulness of AI for school There is relatively high perceived helpfulness of AI platforms for both studying for school exams and entrance exams. While especially for entrance exams, students who are in the science team are more likely to prepare for entrance exams are still more dependent on offline classes or edtech platforms.

Yet the level at which we are seeing perceived AI helpfulness, it means that there is an emerging challenge that is coming to edtech platforms through free usage of generative AI platforms. AI support in learning and performance. So how do students rate AI -based platforms or AI -based tools in terms of their actual impact? And what we find is that apart from, of course, learning complex topics, improving their time management, there is a substantial proportion of students who are actually attributing, improving their academic performance to use of AI platforms. At the same time, students report issues with accuracy and challenges in AI use. One of the major challenges with respect to AI use is that students, a significant proportion of students regularly encounter AI hallucination or are able to identify that they are getting incorrect information.

Then secondly, as I mentioned, when it comes to accuracy for logical or numerical subjects, there is relatively lower reported accuracy. Again, this is something that various platforms are still working on in terms of trying to improve their performance and accuracy. Next is apart from their overall planning and understanding overall AI uses, we also try to compare AI platforms and their performance. with other tools. So what we did was we asked students, number one, is our AI platforms better than YouTube or ICT based learning? And there what we find is that there’s still overwhelming support for YouTube video or ICT based learning tools. Secondly, there’s a whole question of adaptive learning and AI addressing individual needs.

Here, there is an overwhelming evaluation by students that while AI might tools might be helpful, they are not necessarily providing solutions that are specific to their needs. And this, of course, might be because of the nature of AI tools that students are using, which is in most cases free models of generative AI platforms, as opposed to specific AI tools that are actually able to undertake adaptive learning. And then finally, we tried to ask the we tried to ask about AI versus human interaction. So why? So the idea of AI tutors or AI based learning tools replacing in -person teaching, there again, there’s an overwhelming support to the essentially overwhelming support for the idea that students still prefer.

traditional human interaction based learning. So what we’re finding in our study is that while AI is definitely emerging as inter -AI use is definitely increasing significantly among students, it is still considered as a supplementary tool as opposed to a replacement or substitute for traditional teaching. So these were some of the findings. We have more detailed findings in our report and at the end I would just like to thank our team that worked on this report. I would like to thank Nitin, Mehta and Ms. Suchitra Tripathi for their guidance and oversee of this research and I would like to thank our team members Gauri, Shreya, Anupriya, Rashi, Mika and Shugal for their active involvement and participation in the study.

Thank you so much.

Speaker 1

Thank you Pranav ji for the presentation. Today as a panelists now we have Professor KK Agarwal sir. President South Asian University We have Professor Pankaj Arora Sir Chairperson of National Council of Teacher Education Suresh Yadav Sir Executive Director, Commonwealth Secretary Andrao B. Patil Sir Adolescent Secretary, Higher Education And we have Aditi Nanda Director, Education and Industry, Intel And Agrawal Sir You have seen the transformation during IT movement And if I can align it correctly At that time you had developed Interpress University And maybe because at that time IT was also in the process of developing a new institution So you have seen the transformation during IT movement So when you are developing an institution At that time it must be happening in your mind For the how you know i .t is going to challenge those you know kind of uh traditional or conservative approach of you know institutions now again you are the president of south asian university it’s you know one of the iconic institution in india and again you are facing new challenge you know from the ai so how you are you know how you are finding this ai is different from the i you know past i .t because in your lifetime you have seen two movement first i .t now ai and at the same time you are developing two new institutions because before you saw was you not in that position but now so is leading so how you are finding

Professor KK Aggarwal

thank you for the question yes in a way when i was asked to develop the very first university Delhi, Indraprastha University, and it was a challenge because it was the first university in the country, and your very right IT movement was also in the offing. It probably happened by coincidence that the vice -chancellor, which is me, which was appointed at that time, belonged to the discipline of IT. This was probably never a calculation, but it happened. But it happened for the good of the country and the university, I believe, because you could get two in one kind of person to develop. So we made sure that right from the beginning, IT is… That was the time when, if you remember, I saw the students in Delhi.

Incidentally, I think this was the first university in Delhi for the students after Delhi University, who was an affiliated university. So I was seeing the student go to the Delhi University colleges. They had not said this before. with the employment and in the evening they go to a tech company and do a course there. Now that was very much disturbing to me why the students should feel not very satisfied at the end of the formal school or formal college and then try to do that. So my first thing was let’s combine the two. So our curriculum itself should integrate both. If the students have a job in IT sector, why should we not realize this and make sure that every subject is more IT saving and so on and so forth.

Now when I am here the challenge obviously as you say is AI. AI is fortunately being adopted by the youngsters even faster which was expected. IT was also adopted by them faster than the elders. AI is being adopted much faster than elders. Only thing which one has to see is as I said in the whole process of using AI let’s make sure it supplements our creativity it does not give us a shortcut to creativity and thereby reduce our thinking powers. That is a challenge which we have to face in academics. Short of that it is a good opportunity for all of us.

Speaker 1

While working with President Mukherjee you have introduced a lot of technological tools and a lot of innovation not only in the field of finance ministry but as an advisor of President you have introduced a lot of educational innovation as well. And I think that was before time of 2014 and 2015. After the COVID -19 the educational institution has been changed and it is getting changed very fast. How you will analyze and how we will assess this kind of change and what will you suggest to education institution and to the head of the institution to address those challenges posed by AI and other emerging technology.

Speaker 2

Thank you very much and first of all a big congratulations on this fantastic report which talks about the AI in school education and also your previous reports which talks about AI and I think it’s a very good documentation to understand where we stand as a society as a country, as an institution in the emerging landscape. COVID changed Ramananji drastically the way the world looks at the various ways of doing the things. I mean, going to the office was normal. Now, not going to the office is normal. So there is a fundamental shift. It’s very difficult to get the people back to office. And the argument is that if I can do my job better while sitting in my home, why do you want me to come to the office?

So these are the fundamental shifts which we have witnessed post -COVID. And then if you look at the artificial intelligence, it’s a paradigm shift. It’s not only 180 degree. It’s a 360 degree shift. We don’t know which direction and what direction we are going. Any organization, any society, any institution which is not live and kicking to this new emerging reality will be fossilized. Remember, we have in 180 controlling. The almost one -third GDP of the world. And it was not the country which was leading. It was the institutions. It was the institutions of that time which were producing the skill, which can produce the goods and services and the material, which can dominate the world. So it was the role of the institutions.

Of course, the government has now tried to recreate Nalanda, which is coming out very well. So the point I’m trying to emphasize is that the role of educational institutions is of paramount importance. No institutions can dominate the world. No country can dominate the world. Unless the institutions dominate the world. If you look today, the U .S. is dominating the world not because of the military power, but because of the higher education system. If you look at China, the Chinese universities are coming on the top. The number of research in the field of computer science, AI, machine learning, computer vision is dwarfing the research being done in the United States now. So that’s the level of the ship.

So when I’m talking about your topic. reimagining the education system in India, I’m not talking of today, I’m talking of India of 2050, India of 2100. And one thing I keep saying that India, a lot of people say it’s a $5 trillion economy. They are very happy that we are the third largest in PPP, fourth largest in the other term. But I’m not happy because India, as of now, of 1 .5 billion people, if you look at the European standard of GDP per capita, we should be more than $70 trillion. If you look at the American standards of GDP, we should be more than $150 trillion, more than the size of the world economy. So that is the level, that is where we have to think that what kind of institutions we need, what kind of infrastructure we need, what kind of history we need.

Is it the degree, the undergrad degree, master’s degree, PhD’s degree? I got all the degrees. I studied in India from IIT, Indian School of Business. I studied in US, UK, Germany, Sweden, everywhere I have just to educate myself that how the things are different, what are the fundamental differences. So that is something which we have to realize and not do the reforms. This is not the time for doing the reforms in the higher education system. It’s like reimagining. You see, what we reimagine India in terms of digital India, we are getting the dividend. We are a country which is entirely on different level, generating billions of transactions on the digital UPI system, which was unheard.

So similarly, we need a higher education system. We need a general education system which can give an exponential bump to India’s story. And that’s not going to be the normal system. It’s going to be something very, very different. And that is going to be based on the foundation of the technologies. We have been talking that this is the first time in the history of India, though it has been tried several times in the past, to link the north and south. Language barriers always exist. It’s very difficult to do it. but AI dismantles the barrier I was in my village we set up AI lab, we set up AI shop and my message to the villagers you can speak in your Bhojpuri to US, to Russia to Japan so that is the first time a fundamental shift in connectivity is happening around the world and India being a young nation a country of young people almost 44 million students in the higher education ecosystem almost running parallel to China we have that power and potential to change and the moment we are able to use this technology I am sure that we will realize the potential so I say in terms of potential I say I am number one economy India is number one economy not third or fourth so that is the mindset because I have to reach to my potential and I will reach the potential only when I know my potential what it exists so there is a huge responsibility of the Indians of the present generation not only for themselves but the Indians of 2100 Indians of 2050 And if we are not able to capitalize, this AI boom will be left behind.

If you see the geopolitics around the world, we say it’s a new war and all, but it’s the technology war. It’s the AI war. Countries are understanding that those who will dominate AI, they will dominate the world for the next century. So we have to love it. We have no option as a nation. And the education system, which is one of the biggest in the world, will have a very catalytic role in realizing that dream of India of 2100. Thank you and over to you, Ramananji.

Speaker 1

Pankaj sir, as a head and dean, you have changed the curriculum of University of Delhi. You have also introduced a lot. You have introduced a lot of skill -based course during your time and make it outcome -oriented. But the AI challenge is new. And now as a chairperson of NCT, you also see a lot of diversity among the institutions, from the Jhabua to Delhi, and, you know, it’s a multi -layer system. And as a chairperson of NCT, how will you introduce, kind of, you know, ensure that all the institutions can respond in the same manner to the challenge of AI? Because there is a lot of diversity in India. And there is a lot of diversity, you know, about having those kind of resources.

Because AI also needs a lot of resources, not only in a financial term, but in the term of technology and kind of having electricity and other things. So how do you see and how will you ensure?

Pankaj Sir

then we must say that structural and epistemic shift is not merely technological. It is fundamental change that how knowledge is produced, assessed, and evaluated in the day -to -day life of a student. If we look at teacher education, yes, in CI, during my headship, we brought new programs. We revised all the curriculums of BH, MAD, ITEP. And during those changes, our focus was to meet the expectations of young learners in 21st century. Young learner is into technology throughout. When I was doing my college, those days, computers came to the world. And we were very scared of computers. We were told that unemployment will increase because one computer will be… work in place of four or five people.

So as a young student, we protested. against this technology. But today, reality is different. Computer is giving us multiple new avenues of employment in our daily life. So when you revise curriculum, two things I would like to mention here. One, curriculum revision exercise at University of Delhi took place in 2019. And this entire exercise was techno -based. We did it through dashboard system without human intervention, intervention, without having formal meetings and budget of lakhs of rupees to meet, to eat, to TA, to DA, and everything. So zero penny was spent when 72 programs were revised for LOCF curriculum framework. And then in CI, when we took up this exercise, again I followed the same model. Techno -oriented, technology -supported revision took place.

In a record period of two months, we revised almost all the courses in education at University of Delhi. now if we look at role of a teacher what type of teacher we need to meet future generation in my family I have teachers who are dealing with class 3 students class 7 students and senior secondary classes as well as university teaching they all are saying AI is posing a threat to cognitive development of the learner yes it is posing a threat but at the same time we must realize that AI is not going to replace teachers teachers are always there and here I say they both complement each other no challenge no competition between two they complement because a teacher after the use of AI based technology or video or some other context a teacher is the person who can create sensitivity sensitivity in the class related to the topic as well as allow diverse opinions on the same topic So AI can assist.

AI cannot be a master. It is an assistant. If we use it for ethical reasoning, if we use it for creativity, collaboration, adaptability, I see teachers will increasingly function as mentors and learning designers, not learning followers. And ethical guides and facilitators of inquiry in a classroom situation as well as in writing textbooks and developing curriculum. AI -based output demands AI supervision. AI supervision, I mean, AI cannot be left free to design any curriculum. We need to supervise it. When I say we all know difference between governance and leadership. Governance, I call, like, governance means compliance manager. If whatever is coming to you, you are implementing it, you know. Organization, whether it is a college, university, or any other organization.

And if you are an academic leader, then you make a change in that compliance. Compliance will take place because governance is essential. But at the same time, you bring change according to the needs of your institution, needs of your students, needs of your financial resources, etc. Similarly, in education, we must not become AI followers. We should become AI leaders for the time. Yesterday, Honorable Prime Minister said we have tremendous potential to become AI leaders for the world. In those lines, as NCT Chairman, we have brought two new programs, NPST, National Professional Standards for Teachers, and NMM, National Mentoring Mission. Both are designed on a digital platform, on a digital world. And AI is helping us analyzing people’s queries, their questions, their anxiety, and helping them to identify the right mentor for them.

And mentor -mentee is always a guru -shishya context, which is very meaningful and useful. I will close this remark by saying, now we are moving away from treating technology as one -off workshop. Rather than, we should shift towards multi -semester AI spine. AI is spine of entire education system nowadays. And our new program, ITEP, have multiple contexts of AI -based technology. We must transit from product -only evaluation to process -rich evidence of learning. That is more meaningful. In 2012, CBSE brought continuous comprehensive evaluation. Now, AI is helping us to go for process -rich evidence in learning. Risk landscape is there. Bias, heliconations are there. But uneven access to technology is also a challenge that should be taken into consideration.

My last closing remark is, AI plus education can take us towards Vixit Bharat 2047. AI is not a choice. It is a part of our life and providing us multiple new methods of research, new methods of industrial internship. But education, which is providing culture, language and humanistic approach, both need to work hand in hand for better future, for Vixit Bharat 2047. Thank you.

Speaker 1

Patil sir, as an administration secretary, school education, you have embedded technology and through technology, you have been in our track, not only Nipun, but other platforms have been transformed so much that the focus of the government on learning outcomes has improved a lot. Now, you are in higher education and higher education is a very diverse sector and the same time you know in contrast to school education higher education may up to pass controlling power be a critical to jada hoti school education is subject to some time you know in contract list so that’s why abhi aapka kya vision hai to you know to transform those higher education institution in the age of AI AI kya ek challenge hai lagataar aa raha hai not only for the students but as well administrator as well aur us time mein aap ki planning kar rahe ho ki how will you you know address those issues

Patil Sir

thank you sir thank you so much for giving me the opportunity I would like to ask few of the I’m seeing a lot of students here so can somebody tell me that how much time telephone took to reach to five growth subscriber our users any guesses 30 years good guess anybody else quickly 50 years okay good some more yes here somebody sitting right of the stable 75 years yes so it took five crore people go your telephone my light it took 75 years it took 38 years to reach this radio took 38 years to reach to 5 crore people our charge gpt any guesses germany took for 60 days to do is to the 5 crore people whereas charge a pity to 40 days to reach to 5 crore people so this is the i think there is a quantum jump or whatever you say it is a huge jump and with this it is a big challenge for the educationists and both school and higher education.

I can just read some figures for benefit of you that in world we are having around say mobile users in the world there are 749 crore people whereas India 120 crore people. Internet 600 crore people they are using it in India it is 100 crore. In Google world 580 people 580 crore people are using Google whereas in India it is 80 crore and CharGPT world it is 80 crore this is last month’s data not this month. So around 7 crore people they are using CharGPT in India and 1 crore in Gemini. So around maybe by this time 10 crore people will be using CharGPT and Gemini here. Now the challenges what are coming up I will come to that I am not pessimistic at all but if you see in the education ecosystem as Suresh sir also has told and other speakers also have told.

This is very important to see how what is the this cohort, around 25 crore children are in the school education and 4 .6 crore children are in the higher education around 30 crore we can say now 15 lakh schools are there in India and right now if you see the infrastructure around 4 crore 4 lakh schools only having the computers ICT labs and tablets and other things so it is a huge challenge to take the AI revolution to last mile which is, we are aware as I also told you I worked in school education, now in higher education so we are having integrated approach and we are working on that but we need your help second one if you see in school education around 1 crore teachers are there right now and most of them are women so which is really good change is happening there but how many are AI savvy or AI literate we are working on that and And Sir NCT Chairman Sir has already told on that.

Pankaj Sir has told on that. Now, coming to the different digital divide. Delhi schools, if you say, and the remote area schools, the tribal areas or rural areas, you can see. Madam is also from Bangalore. I last week went there. There is huge development. So the cities, the way they are catching up here is huge. Humongous progress is there. But the rural area and other places, it is a big challenge. Central schools like KVS, NVS, they are doing really good in catching up with the AI, using the AI technologies. Even CBS is coming with the AI curriculum. Whereas in the report also I’ve seen, like Andhra, Assam, Tamil Nadu, and a few other states are using the AI curriculum and AI tools for implementation in the education system.

Whereas other states are here to catch up. so there is little bit divide in this and it will take time for India to catch up but yes all of us are now agreed that yes AI is not going anywhere, AI has to be used, AI is useful and at the same time AI is not enough we should treat AI as a machine not as a human being which is very very important AI if you started taking as a human being then it will be problem, it will be huge mental stress on the students and other users also so we are aware of this that’s why school education has taken very wise decision to introduce AI curriculum in third grade it is not to teach the AI it is to teach what is AI what are the uses of AI and whether it is good or bad so children should know about it which is very very important so coming generation, coming up generation new generation, young generation must learn AI because it is very very useful.

Yesterday as Pankaj sir has told that Prime Minister has told that AI, India has to become hub of AI and yesterday evening, yesterday full day we had the meeting with Spain universities. Today again we are having the meeting with the Spain universities like that lot of meetings are going on MOAs are happening. You may be knowing that IIT Madras has developed one tool where Dr. Kamakoti has spoken in Tamil and it has been translated in 11 languages of India as Suresh sir was also telling that when you speak in Bhojpuri, it can get translated in others. So there is huge potential I have seen from Siksha Lokam, they have shown me that again in Bihar, the villagers, the women, they are talking about dropouts, why I got dropout, why my daughter is getting dropout, what are the issues, they are talking in the local language and AI is actually summarizing in English and other languages.

so they are talking and with it that there is no typing nothing else it is getting summarized classified and as an administrator we can take decisions so AI is a boon if we are using it very properly and AI will become a bane if it is misused or unethically used. As sir you are asking me for the challenges in AI yes there are many challenges what we are doing right now is updating the curriculum we are doing educational governance such as coming up many IITs they brought AI schools in their campuses they are having MOUs with Google, Microsoft and various other places Wadhani Foundation has also started one AI school in one of the IITs.

Lot of investment is going on. We are already started AI COE in education and IIT Madras is hosting that. Lot of work going going on. Lot of work going on. Lot of work going on. Lot of work going going on. Lot of work going on. Lot of work going on. Lot of work going on. Sarvam is also helping us in those initiatives. but yes there is parity there is disparity we need to sort out those issues and AI is not only for the STEM that we understood and we are implementing that way everybody has to understand what is AI and how we can take it forward as Suresh has told about economy I think we both have worked previously in Ministry of Education Ministry of Finance together I got his guidance there so the way he has told you can see it is now we are talking about reimagining the education so whatever you imagine what is your vision you are going to achieve that so we should not limit our vision I think 140 crore population and plus it is coming up it is required to have really big vision but same time necessary skills skills are required and one of the report suggests that if one year of schooling is happening …

the 24 % there is output increase in the labour output actually. Labour can, the output will increase by 24%. And in India we are having these certain issues. If you see what labour force is giving the output in US, what is given in South Africa and what is given in India, there is, really we need to think about it. So year of schooling is very, very important. We are having challenges of dropouts also. Luckily, Vidya Samhita Kendra and other tools we are using to trace the dropouts and bring them in the mainstreaming. You can also see around 5 crore children are dropped out. And various state governments are working on that to bring it down. So European Union, few countries may be having this population of 5 crore.

So challenges in India are more, but much more. But as Madam was also asking me what will be the impact of AI, I think it will be huge impact on us. Next two years we can see the way India is going to change. As again I can say one last example and come back. When I was working in banking, department people said that there is something called payment through the mobiles. And when I was discussing with our CMDs of the banks, those were their CMDs, now it is MDs. And they told me that no, it is not going to work here. And South Africa started there. Airtel itself started it there. And 2016 when DMO has come, we can see the huge impact.

And now in PCI we can see the way it is happening. Around 50 % of digital transactions are happening from India, world’s transactions. There is huge change. I think another two years we can see there is huge change in AI adaptability and using it. But one caution is that AI has to be used as a tool. It has to be used ethically. And it has to be used for the work. For humanity. That is what I can say. Thank you so much. And we are getting prepared for that, sir. As IITs are far better. IIMs are far better. Whereas central universities are catching up with this AI. And we are trying to help with them, sir. Thank you.

Thank you, sir. Thank you, sir. Thank you.

Speaker 3

Thank you, Dr. Namanan, and thank you for having me here. It’s been very interesting and it’s been a pleasure for me to listen to all the other panelists here. Got to learn quite a lot. And congratulations on the report. So very interesting and very pertinent point that you raised, that the industry also needs to work with different players, not just with the government but also academia, and create a change. So I have a very interesting job. I work with the ecosystem and industry. industry. And in that, I get to work with different startups, get to know different ISVs and really see the innovation that’s happening. And some of these innovations are interesting to see because they are cutting edge.

They are coming from India for India and then they go for the world. Like you just mentioned, sir, Patil sir was just talking about, you know, the digital payment. And I think you were mentioning M -Pesa from a net perspective. So how we have taken the UPI and other things that we are taking this to the world. It’s a very proud moment, but it starts with an idea and it starts with something that needs to be nurtured by everyone. If you have and that’s what the AI summit, it’s a great moment for all of us. We’ve put ourselves on the world map. We’ve shown the world that we can do great. And here is where the technology innovation is happening.

And from an Intel perspective, we work not just very closely with higher ed, but also K -12 and of late, we’ve been working with. startups to come up with solutions which impact the students at large. So I was talking to somebody the other day, and I think the stage server was talking about, you know, bhojpuri getting translated. So I was talking to somebody and said, why are learning outcomes in the Indian Tier 2, Tier 3 and rural areas not as great? You know, the response came ki, bache ko maths or physics nahi samajh mein aata, yeh problem nahi hai. Bache ko English nahi samajh mein aata, yeh problem hai. Kyunki hamara teaching medium, o bache ke language mein nahi hai.

And what we are doing today in terms of making sure that the content reaches everybody in the language that they understand, I think that is going to be a game changer. And that is coming from AI, and AI is coming from a combination of people. Folks like all of us in the room coming together and saying, okay, let’s make something that will have an impact at population at large. So those are things and I was talking to you just before this. He said, India mein aisa nahi hai ki people don’t want to buy technology. People don’t, they’re not afraid of technology. But the problem is and how many of us as parents will always say, laptop nahi, bachcha ko laptop nahi dana, bachcha bighar jayega.

But why are we not seeing the value? Why are we not seeing that a creation device like a laptop or something that is more than a consumption device, where is the value creation in that? Can we have AI courses, courses starting from class 3 onwards, going up to higher ed? And we have in fact worked, my colleague of mine has worked very closely with CBSC to create a curriculum which has gone into schools, right? And we’ve worked, Intel has worked together and helped put that together. We have a program called Unnati for higher ed. And now we are bringing in these… courses which are AI for future workforce under that umbrella which has courses like AI in manufacturing and we have put this out in Gujarat Technical University and recently we had somebody come in from there.

This girl was the first time, first generation to go to a college she went through this program and in this program we also had internship. So she had interned with a startup with an industry in Surat that was doing basically textile manufacturing and she created a project on defect detection using AI. So a kid from a rural area going to college for the first time as the first generation going to college being so confident about what she had created because it was being used in an industry and she could see the impact. I mean those are the stories and those are the things that make you feel like you want to work in this. The rewards are huge.

I think that is what is needed and Intel’s obviously a great job of bringing these things together and all the programs that we have, whether it’s Unnati, whether it’s Future for Workforce, whether it’s the stuff that we do in the K -12 space. We’ve got an ISV startup that we work with which is helping teachers become AI -enabled. So creating, and it’s all running locally. The content doesn’t even need to go into the cloud. We have solutions running on AI PC, which is what Intel is now bringing to the market. And I would invite you all to please come visit our booth at, of course, AI Summit, because that’s what has brought us all here.

And we’ll show you some of the really cool use cases and demos where voice -to -voice gets translated on the device. So you don’t even need to connect to the Internet. You don’t even need to connect to the cloud. Everything is happening on the device. The content is there. And I think I heard hallucination as one problem. that is what you also in the report identified. What if the content sits locally on the device itself? So you’re only looking at class 9 science. So when a child asks about a question, maybe they’re just wanting to know how do I get into NEET and JEE, the answer is coming from there, and it’s coming in a language that the child understands.

So what if that happens, and that exists today. We’ve worked on it. So think of it as a 24 -7 tutor. And one more thing, I don’t know how many of you will relate to this, but at least I used to. When the teacher is teaching, everything was clear. But when you go home and read the same concept, what happened? How did it disappear? So when this happens, and if you’re an introverted child, who do you go and ask? And how do you create that safe space of asking? You can have tuition teachers, you can have personalizers, but if there is a bot, that is not judging this child and is saying, hey, come here, I’ll teach you in the language you understand.

Mere se pucho. And you know as a parent that this is all happening on the PC. It is all safeguarded. Or at least there is lesser chance of hallucination. That is what we are working towards. And I’ll finish with because there are all esteemed panelists, I think I should finish with a quote. Arthur C. Clarke said technology, and I’m paraphrasing, technology done right is like magic. And if we bring that magic of technology plus AI to all kids in India, I think we’ve done our job. That’s what we are doing.

Speaker 1

Thank you, Aditi. I think we have a few minutes more and we can have just, you know, a quick round intervention. Just on the issue when we are, you know, when we just try to reimagine institution. What are the two things that we want to see in the future of higher education? And, sir, if I may ask, what do you want to see in the future of higher education? What do you want to be?

Professor KK Aggarwal

Finally a girl raised her hand. She said, okay. At least somebody. She said, yes, come on. We’ll work it together. She said, sir, everything is fine. But firstly tell us what is a tile. See in that African area the tiles were never used. They were used for round rooms with round floors and square tiles or rectangular tiles were not in the dictionary. And on that basis we declare all that class failed in mathematics. That is what we are doing today with the help of simple test. So we have to find out what is the ground level situation and then go ahead on that to test the ingenuity of that. Lastly, we have not to teach the subjects.

We have to teach the students. And therefore for each student what can we do? Again I say AI is an opportunity, great opportunity. We are talking about reimagining, imagining hierarchical education in this summit and my request with all the persuasion is, let the youth assert themselves that we need these subjects to be taught for our degree. And technology enables us to do that. We will have to do that. That’s my call on this.

Speaker 1

Thank you, sir. Suresh sir, in the same manner, when you reimagine institutions and you are heading up, you know, you are part of a global body, what kind of feature and what kind of, you know, I will say two or three things you want to see in the future, you know, futuristic educational institution.

Suresh Sir

Thank you very much. Quickly, three points I would like to say. First, that if you look back 10 years back when social media was in India, there was a talk that whether we want to be a download nation or we want to an upload nation. So there was a lot of emphasis on creating content and uploading on the internet and the media so that creativity flourished. now the conversation has moved whether we want to be again a consumption nation or we want to be producing nation, we want to be creative nations now this time the opportunity is phenomenal so we need to have a system where people create not consume, that’s the fundamental shift we need now the second thing I will say that university degrees masters, PhDs undergrad for the job we have the qualification for the job, in some of the countries only high school is good enough for getting the jobs in the government in the private sector high school diploma do we want only the students to be studying getting marks, getting distinction or do we want the students to be the problem solving young society so I think we have to shift from a you know degree awarding institutions to a problem solving institution.

India has millions and trillions of problems in each and every corner. You pick up one problem, solve it. You get your degree and go. You don’t need to pass all the examination. So that’s the fundamental shift India needs. If we want to go back to what I said in the beginning, that we want to be a nation where skill, capability drives the economy, not the other way around. So that’s the second. The third one you see, the 12th education system, the higher education system, the primary education system works in silos. We have to find and technology allow it to do it to interconnect the entire systems. And in the U .S., the higher education and the high school systems are very well connected in the part of ecosystem.

The moment we do that, we will have a thriving higher education, thriving education system. Thank you. pushing India into a very high growth trajectory and also to realize the dream which I talk about, a number one nation, not by 2050, 2070, but very soon. Thank you.

Speaker 1

Thank you, sir. Pankaj sir, as a chairperson of NCT, when you reimagine a teacher education institution or think about how a teacher education institution will be in the future, what are the two or three features that come to mind that you think should be the future of a teacher education center?

Pankaj Sir

Yes, as a regulator for teacher education, now Vixit Bharat Adhishthan is coming where it has been proposed to go with AI -oriented regulator. That regulator is not supposed to have a lot of human working for it. But 70 to 80 percent assessment will be done through AI. So, it is a very good thing. Thank you. Thank you. Thank you. So AI is going to play an important role, not only as a regulator, but also as a norms and standard developer for the nation, for academic programs also and for teachers also. I think the responsibility to promote research ethics among young people is very, very critical at the moment. Somebody is writing a letter to his wife and asking AI to give me a letter.

So this is ridiculous. It cannot give you emotion into that, personalized flavor to that. So research ethics, when you are doing any research for any class level, then we need to think of assessment devices, evaluation and assessment, which is lacking behind. We are developing content through AI, but we are not doing assessment through AI. This year, CVSC is trying to. Assess class 12 answers script through technology, but those would be only scanned documents. will check by teachers from their own remote place. But that is the beginning of bringing technology into assessment. And my last point would be Indian knowledge, Indian languages. We must start working very, very hard on this because if we actually want to pass on Indian tradition to the next generation, AI can become an important tool for that.

If we take AI out of Western knowledge, if we promote AI in Indian knowledge, Indian context, Indian languages, then we will really solve the next generation. And as the Prime Minister said, we have two AIs, as Pride India and Artificial Intelligence. So we must take both of them to optimum use. Thank you.

Speaker 1

Thank you, sir. Patil sir, from the ministry perspective, how you visualize future universities, and what kind of change you want to bring higher education institutions? which we want to build for the future.

Patil Sir

Again, same thing that Sir has told that it should be integrated. School and higher education, I would like to say that few universities have agreed to reach out to 100 schools. In Pune, there is one university called COEP. So they are telling that every day one school will come, visit, see their libraries, see their laboratories, meet their teachers. The teachers will go to the schools, they will interact. Because many of them are not knowing what is the present school. And what I was in the school and today’s school, there is huge change. Really huge change is there. So that has to be seen and it should be integrated. One more point that NEP says there is innate talent among the students.

So students should understand that and work on it, on your skills and meaningfully contribute to the economy which is very, very important. So once 140 crore population of India started contributing to the economy means above the income tax level, I am telling that the minimum 5 lakhs or 6 lakhs. It is going to be huge change here. Third point is brick mortar schools are going, universities are going. That is already we are seeing this huge change. But same time, teachers cannot be removed actually. The teachers, mentors, facilitators has to be there. And even we requested, even Intel we had last time meeting also with the companies to be mentor actually. You should also tell kids enough is enough.

One hour up you are playing with the games or you are using these things. So stop it there, which is really required. So ethical use is very, very important. Yes, we need to create a platform where all of the people can come. That is what EI, COE in education happening with Madras IIT where schools and higher educations are coming together, higher institutions are coming together, private players are also coming together. I recently seen one startup in IIT Delhi. where they don’t like this hotel rooms and all that. So he not want any hotel rooms at all. Like that, these startup don’t have any classrooms, they don’t have any infrastructure at all. But they teach in medical education actually with this permission from the regulator, paramedician basically are working it.

Youngsters are here, lot of youngsters are there, friends. Their annual turnover is 200 crore in just last two years. They are telling another one year will reach 400 crore. So I think there is huge opportunity for all of us. We should work on it. Thank you so much.

Speaker 1

Thank you, sir. Aditi, your comment on future of institution.

Speaker 3

I think everybody has done a great job of articulating that. I think everybody has done a great job.

Speaker 1

Thank you everyone for joining us and thank you for our eminent panel to put light on reimagining the institutions. And I think that what we are thinking about how the future institutions will be, when we start thinking about it, it will start to grow. And thank you everyone. Thank you.

Related ResourcesKnowledge base sources related to the discussion topics (30)
Factual NotesClaims verified against the Diplo knowledge base (4)
Confirmedhigh

“Speaker 1 is from the Centre for Policy Research and Governance (CPRG).”

The knowledge base identifies Speaker 1 as the session moderator/host from CPRG, confirming the affiliation mentioned in the report [S4] and also notes Dr. Ramanand Nand as a CPRG representative [S11].

Additional Contextmedium

“Approximately half of the surveyed students use generative‑AI tools such as ChatGPT or Gemini multiple times a week.”

While the report cites a Delhi private-school survey, broader data show that 64 % of U.S. teens have used an AI chatbot and about 30 % use one daily, indicating that high-frequency AI use among adolescents is common globally [S79].

Confirmedhigh

“Students report frequent “hallucinations” and reduced reliability of AI for logical or numerical tasks.”

AI hallucinations are a well-documented limitation of large language models, as described in the knowledge base on the phenomenon of fabricated truth [S119].

Additional Contextmedium

“Heavy reliance on AI tools may weaken thinking skills and reduce cognitive effort.”

Research cited in the knowledge base indicates that extensive AI use can lead to reduced brain activity during writing tasks and diminish the productive struggle essential for learning [S120]; similar concerns are raised about AI-mediated learning undermining deep cognition [S121].

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AI 2.0 The Future of Learning in India — -Pankaj Sir: Chairperson of National Council of Teacher Education (NCTE), former head and dean at University of Delhi, e…
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https://dig.watch/event/india-ai-impact-summit-2026/ai-2-0-reimagining-indian-education-system — Thank you Pranavji for the presentation. Today as a panelist now we have Professor KK Agarwal sir, President South Asian…
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Responsible AI for Children Safe Playful and Empowering Learning — -Speaker 1: Role/title not specified – appears to be a student or child participant in educational videos/demonstrations…
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Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Vijay Shekar Sharma Paytm — -Speaker 1: Role/Title: Not mentioned, Area of expertise: Not mentioned (appears to be an event host or moderator introd…
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AI 2.0 The Future of Learning in India — – Pranav Kothari- Patil Sir – Pranav Kothari- Professor KK Aggarwal – Pranav Kothari- Speaker 2
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AI 2.0 Reimagining Indian education system — Thank you Pranavji for the presentation. Today as a panelist now we have Professor KK Agarwal sir, President South Asian…
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AI Governance: Ensuring equity and accountability in the digital economy (UNCTAD) — Clear principles and regulations need to be set Overall, AI governance requires collaboration, inclusivity, transparenc…
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Closing Ceremony — Multiple speakers addressed the transformative challenges posed by artificial intelligence and the need for new approach…
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Building Trustworthy AI Foundations and Practical Pathways — The current AI revolution represents an even more fundamental shift: the emergence of general software. Unlike tradition…
S22
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Vivek Raghavan Sarvam AI — And these vision models are actually very good for document digitization. They’re very good at language layout understan…
S23
Powering AI Global Leaders Session AI Impact Summit India — Must work to close the capability gap through improved access, literacy, and agency initiatives
S24
Leaders TalkX: ICT Applications Unlocking the Full Potential of Digital – Part II — The inadequacy of established models and strategies, often adopted by the most affluent economies, was criticised for ne…
S25
WS #466 AI at a Crossroads Between Sovereignty and Sustainability — This concept of ‘digital solidarity’ became a recurring theme throughout the discussion. Pedro Ivo later referenced it d…
S26
High Level Session 3: AI & the Future of Work — Chris Yiu: Good morning, everyone. Real pleasure to be here with you today to talk about such an important topic around …
S27
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Kiran Mazumdar-Shaw — Transformation requires a triple helix of government, academia, and industry working together with specific roles for ea…
S28
High-Level Session 3: Exploring Transparency and Explainability in AI: An Ethical Imperative — Doreen Bogdan-Martin: Thank you, and good morning again, ladies and gentlemen. I guess, Latifa, picking up as you were a…
S29
Artificial Intelligence & Emerging Tech — language translation tools and health diagnostic apps can function without continuous online access
S30
Gemini Robotics On-Device: Google’s AI model for offline robotic tasks — On Tuesday, 24 June, Google’s DeepMind division announced the release of a new large language model namedGemini Robotics…
S31
https://dig.watch/event/india-ai-impact-summit-2026/ai-2-0-the-future-of-learning-in-india — And we’ll show you some of the really cool use cases and demos where voice -to -voice gets translated on the device. So …
S32
AI Innovation in India — So that is one of the other programs that we have. Post that, there’s a litmus test that we do and that we help out with…
S33
Education meets AI — Artificial intelligence has the potential to revolutionize education by offering personalized learning experiences to ev…
S34
Bottom-up AI and the right to be humanly imperfect | IGF 2023 — Jovan Kurbalija:Thank you. The AI charge EPT won’t reply in this way, you know, therefore it is really smart. Thank you….
S35
AI & Child Rights: Implementing UNICEF Policy Guidance | IGF 2023 WS #469 — A significant aspect of the study is the inclusion of a diverse group of children. The researchers aimed to have a large…
S36
WS #376 Elevating Childrens Voices in AI Design — National survey of around 800 children between ages 8-12, their parents and carers, and 1000 teachers across the UK Res…
S37
Sovereign AI for India – Building Indigenous Capabilities for National and Global Impact — As emphasized throughout the discussion, India possesses the fundamental ingredients for AI leadership. The challenge li…
S38
Empowering India & the Global South Through AI Literacy — The discussion acknowledged several ongoing challenges. The scale required to reach India’s vast educational system pres…
S39
AI and Global Power Dynamics: A Comprehensive Analysis of Economic Transformation and Geopolitical Implications — 150 are replaced by AI. And in research analysts, there we are actually just able to do much more high-quality research….
S40
AI (and) education: Convergences between Chinese and European pedagogical practices — ### Transformation Rather Than Replacement Jovan Kurbalija: Definitely, just building on one comment, let’s say, thinki…
S41
AI-generated Jesuses spark concern over faith and bias — AI chatbots modelled on Jesusare becomingincreasingly popular over Christmas, offering companionship or faith guidance t…
S42
The Global Power Shift India’s Rise in AI & Semiconductors — Joining us is Professor Vivek Kumar Singh, Senior… advisor on science and technology at NITI IO. Professor Singh plays…
S43
From India to the Global South_ Advancing Social Impact with AI — Because have you ever seen skill books anytime? For a plumber or a painter. Most of the books has images without a descr…
S44
Bridging the Digital Divide: Inclusive ICT Policies for Sustainable Development — The discussion maintained a formal, academic tone throughout, characteristic of a research presentation or conference se…
S45
Meeting REPORT — In conclusion, the discussions depicted an organisational mindset pivoting towards greater inclusivity, judicious resour…
S46
Cooperation in a Divided World / DAVOS 2025 — The tone was primarily informative and analytical, with speakers presenting data and insights in a professional manner. …
S47
Keynote-Jeet Adani — The tone was consistently aspirational, patriotic, and strategic throughout. Jeet Adani maintained a confident, visionar…
S48
Scaling Trusted AI_ How France and India Are Building Industrial & Innovation Bridges — Perhaps most significantly, the summit revealed that AI for science represents not just an acceleration of existing rese…
S49
How to make AI governance fit for purpose? — Legal and regulatory | Development The AI revolution is fundamentally challenging the governance structures as we know …
S50
From Technical Safety to Societal Impact Rethinking AI Governanc — The session opened with Virginia Dignum’s foundational argument that fundamentally reframed the AI safety debate. Rather…
S51
AI 2.0 The Future of Learning in India — The path forward requires simultaneous attention to immediate practical challenges—infrastructure development, teacher t…
S52
How to ensure cultural and linguistic diversity in the digital and AI worlds? — Xianhong Hu:Thank you very much Mr. Ambassador. Good morning everyone. First of all please allow me, I’d like to be able…
S53
Artificial intelligence — Multilingualism
S54
Open Forum #64 Local AI Policy Pathways for Sustainable Digital Economies — Preserving multilingual societies is essential because different language structures enable different ways of thinking a…
S55
AI as a tech ally in saving endangered languages — Small states and indigenous nations can leverage these tools to increase participation in global negotiations. When lang…
S56
What policy levers can bridge the AI divide? — ## Infrastructure as Foundation Lacina Kone: Before talking about the bridging of AI, bridging the gap of the AI, there…
S57
Open Forum #33 Building an International AI Cooperation Ecosystem — Ricardo Pelayo: Hi, good afternoon. It’s an honor to share with you this reflection on building an ecosystem of innovati…
S58
Inclusive AI For A Better World, Through Cross-Cultural And Multi-Generational Dialogue — Demands on policy exist without the building blocks to support its implementation Lack of infrastructure, skills, compu…
S59
Empowering India & the Global South Through AI Literacy — The discussion acknowledged several ongoing challenges. The scale required to reach India’s vast educational system pres…
S60
Why science metters in global AI governance — But now I don’t know what is the causal factor there. I don’t know if the causal factor is whether they are using AI mor…
S61
WSIS Action Line Facilitators Meeting: 20-Year Progress Report — Development | Human rights | Online education UNESCO is providing policy guidance on AI in education, focusing on frame…
S62
New Colours of Knowledge — – MEASURE 3.2.3. Establish and implement mechanisms for the overall assessment of the four segments of tasks of teaching…
S63
Strategy outline — – 5.1 Upgrade the role of the MoI, develop its texts and capacities, and render it a reliable source of information, par…
S64
Part 2.5: AI reinforcement learning vs human governance — Governance structures are designed to maintain order, protect rights, and promote welfare, often requiring consensus and…
S65
What is it about AI that we need to regulate? — The Role of International Institutions in Setting Norms for Advanced TechnologiesThe discussions across IGF 2025 session…
S66
Comprehensive Report: European Approaches to AI Regulation and Governance — Governance structure – centralized vs. distributed
S67
AI 2.0 Reimagining Indian education system — Here, there is an overwhelming evaluation by students that while AI tools might be helpful, they are not necessarily pro…
S68
The National Education Association approves AI policy to guide educators — The US National Education Association (NEA) Representative Assembly (RA) delegates haveapprovedthe NEA’s first policy st…
S69
AI reshapes university language classrooms — Universities are increasinglyintegratingAI into foreign language teaching as lecturers search for more flexible and pers…
S70
Hard power of AI — In conclusion, the analysis provides insights into the dynamic relationship between technology, politics, and AI. It hig…
S71
WS #288 An AI Policy Research Roadmap for Evidence-Based AI Policy — Virginia Dignam: Thank you very much, Isadora. No pressure, I see. You want me to say all kinds of things. I hope that i…
S72
Powering AI _ Global Leaders Session _ AI Impact Summit India Part 2 — The disagreement level is moderate but significant for policy implications. While there’s consensus on the core challeng…
S73
Driving Enterprise Impact Through Scalable AI Adoption — The panellists agreed that rather than viewing AI as a replacement for human teachers, the future likely involves an aug…
S74
AI (and) education: Convergences between Chinese and European pedagogical practices — 1. **Universities and teachers remain essential** but must transform from knowledge transmitters to coaches and facilita…
S75
Can AI replace the transmission of wisdom? — However, in all these cases, we must keep the role of AI as a supportive tool, not as a teacher. This is because technol…
S76
WS #376 Elevating Childrens Voices in AI Design — National survey of around 800 children between ages 8-12, their parents and carers, and 1000 teachers across the UK Res…
S77
AI for Social Good Using Technology to Create Real-World Impact — But all of that was enabled by this DPI called NICSHA, this database, which enables all of this. One other quick example…
S78
Responsible AI for Children Safe Playful and Empowering Learning — Absolutely. We need to generate a fair amount of evidence before we rush to scale with something like this. Although we …
S79
Three in ten US teens now use AI chatbots every day, survey finds — According to new data from the Pew Research Center, roughly 64% ofUSteens (aged 13–17) say they haveusedan AI chatbot; a…
S80
Global AI adoption rises quickly but benefits remain unequal — Microsoft’s AI Economy Institute hasreleased its 2025 AI Diffusion Report, detailing global AI adoption, innovation hubs…
S81
AI 2.0 Reimagining Indian education system — However, achieving global leadership requires addressing substantial infrastructure and equity challenges. The success o…
S82
Empowering India & the Global South Through AI Literacy — The discussion acknowledged several ongoing challenges. The scale required to reach India’s vast educational system pres…
S83
Sovereign AI for India – Building Indigenous Capabilities for National and Global Impact — India possesses many essential ingredients for AI success: a robust software services industry, thriving startup ecosyst…
S84
AI 2.0 The Future of Learning in India — All speakers acknowledge the significant challenge of unequal access to technology and infrastructure across different r…
S85
Research shows AI complements, not replaces, human work — AI headlines often flip between hype and fear, but the truth is more nuanced. Much research is misrepresented, with task…
S86
AI and Global Power Dynamics: A Comprehensive Analysis of Economic Transformation and Geopolitical Implications — 150 are replaced by AI. And in research analysts, there we are actually just able to do much more high-quality research….
S87
Turbocharging Digital Transformation in Emerging Markets: Unleashing the Power of AI in Agritech (ITC) — Moreover, while AI and new technologies have significant potential in agriculture, it is crucial to understand that they…
S88
Workshop 1: AI & non-discrimination in digital spaces: from prevention to redress — Robin Aïsha Pocornie: I also think that it is important to note that intersectional discrimination as it’s defined right…
S89
Powering AI Global Leaders Session AI Impact Summit India — Education as a lever to close the gap
S90
Skilling and Education in AI — Strategic actions for India by 2030
S91
Leaders’ Plenary | Global Vision for AI Impact and Governance- Afternoon Session — And Prime Minister, we believe that nations should always build the strongest intelligence infrastructure and cross -bor…
S92
Cooperation in a Divided World / DAVOS 2025 — The tone was primarily informative and analytical, with speakers presenting data and insights in a professional manner. …
S93
Opening — The overall tone was formal yet optimistic. Speakers acknowledged the serious challenges posed by rapid technological ch…
S94
Fourth meeting of the UN CSTD multi-stakeholder working group on data governance at all levels — The programme begins on Tuesday morning with opening remarks and the formal adoption of the agenda. The UNCTAD secretari…
S95
AI and Data Driving India’s Energy Transformation for Climate Solutions — The tone was collaborative and solution-oriented throughout, with speakers building on each other’s insights rather than…
S96
World in Numbers: Risks / DAVOS 2025 — The tone was primarily analytical and academic, with the speakers providing objective overviews of the report’s findings…
S97
WS #219 Generative AI Llms in Content Moderation Rights Risks — The discussion maintained a consistently serious and concerned tone throughout, with speakers demonstrating deep experti…
S98
Open Forum #29 Advancing Digital Inclusion Through Segmented Monitoring — The discussion maintained a collaborative and constructive tone throughout, with panelists building on each other’s insi…
S99
Engineering Accountable AI Agents in a Global Arms Race: A Panel Discussion Report — The discussion maintained a thoughtful but somewhat cautious tone throughout, with speakers acknowledging both opportuni…
S100
Scaling AI for Billions_ Building Digital Public Infrastructure — The discussion maintained a balanced but cautionary tone throughout. While panelists acknowledged the tremendous opportu…
S101
AI and Digital Developments Forecast for 2026 — The tone begins as analytical and educational but becomes increasingly cautionary and urgent throughout the conversation…
S102
Powering the Technology Revolution / Davos 2025 — The tone was generally optimistic and forward-looking, with panelists highlighting opportunities for innovation and prog…
S103
Governments, Rewired / Davos 2025 — The overall tone was optimistic and forward-looking, with speakers highlighting the transformative potential of technolo…
S104
Indias Roadmap to an AGI-Enabled Future — The discussion maintained an optimistic and ambitious tone throughout, with speakers expressing confidence in India’s ab…
S105
Smart Regulation Rightsizing Governance for the AI Revolution — The discussion began with a notably realistic and somewhat pessimistic assessment of global cooperation challenges, but …
S106
Opening remarks — The assembled minds, representing a synergy of technology, governance, and civil society, exemplify the event’s global i…
S107
Creating Eco-friendly Policy System for Emerging Technology — Speaker 1:…amongst you today to share some thoughts and ideas on the importance of eco-friendly emerging technologies …
S108
Mary Meeker examines AI and higher education — Mary Meeker, renowned for her annual ‘Internet Trends’ reports, hasreleasedher first study in over four years, focusing …
S109
OpenAI partners with Arizona State University to bring advanced AI model to higher education — OpenAI has announced a partnership with Arizona State University (ASU), making it their first collaboration with a highe…
S110
Town Hall: How to Trust Technology — Additionally, Thompson raises concerns about potential job losses, particularly in the digital space, due to emerging te…
S111
The future of work: preparing for automation and the gig economy — The report suggests several measures to ‘help people adjust to the new technologies’: education and (re)training, suppor…
S112
Keynote-Sam Altman — Regarding employment disruption, he acknowledged that existing jobs will face displacement, noting “it’ll be very hard t…
S113
Is AI a catalyst for development? — The Economist argues that AI has the potential to revolutionise developing countries by transforming their economies and…
S114
AI tools influence modern personal finance practices — Personal finance assistants powered byAI toolsare increasingly helping users manage budgets, analyse spending, and organ…
S115
How to keep your data safe while using generative AI tools — Generative AI tools have become a regular part of everyday life, both professionally and personally. Despite their usefu…
S116
Rethinking learning: Hope, solutions, and wisdom with AI in the classroom — Dismissing AI’s potential role in education is both futile and misguided. The technology exists, students are using it, …
S117
AI cheating scandal at University sparks concern — Hannah, a university student,admits to using AIto complete an essay when overwhelmed by deadlines and personal illness. …
S118
AI shows promise in scientific research tasks — FrontierScience, a new benchmark from OpenAI,evaluates AI capabilities for expert-level scientific reasoningacross physi…
S119
When language models fabricate truth: AI hallucinations and the limits of trust — AI has come far from rule-based systems and chatbots with preset answers.Large language models (LLMs), powered by vast a…
S120
Is AI making us mentally lazy — Growing use of AI chatbots for tasks such as writing, analysing data, and problem-solving has sparkedconcernsthat relyin…
S121
AI in schools: The reality is messier than the solutions — Cognitive scientists call this’desirable difficulty’. Learning that comes too easily often doesn’t stick. The brain buil…
S122
Protecting Democracy against Bots and Plots — Additionally, Agrawal emphasizes the potential of technology in identifying and addressing disinformation, envisioning a…
S123
Pioneering Responsible Global Governance for Quantum Technologies — In sum, the panel shed light on the challenge of regulating private sector influence in governance and mitigating the in…
Speakers Analysis
Detailed breakdown of each speaker’s arguments and positions
S
Speaker 1
1 argument68 words per minute1284 words1122 seconds
Argument 1
Emphasised that AI transformation demands rethinking institutional structures, curricula and governance
EXPLANATION
The opening remarks highlighted that the rapid emergence of AI creates fear about skill relevance and calls for a fundamental redesign of institutions, curricula and governance mechanisms to prepare for future jobs. The speaker positioned AI as a catalyst that forces a strategic rethink of how education systems operate.
EVIDENCE
The speaker noted the growing fear that existing skills may become irrelevant and stressed the need to understand the transformation, future skills and jobs, and to launch reports that address these issues [10-13].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The call for new governance structures aligns with AI governance principles that stress equity, accountability and multi-stakeholder collaboration [S18]; the need for a 360° paradigm shift in education is highlighted in the AI 2.0 sessions [S11][S4]; and the recommendation for triple-helix collaboration mirrors the trusted AI framework discussion [S27].
MAJOR DISCUSSION POINT
Framing the AI transformation discussion
AGREED WITH
Pankaj Sir
DISAGREED WITH
Pankaj Sir, Professor KK Aggarwal
S
Speaker 2
3 arguments162 words per minute1035 words382 seconds
Argument 1
AI represents a 360° paradigm shift; institutions that do not adapt will be fossilised
EXPLANATION
AI is described as a comprehensive, 360‑degree shift that will reshape societies, and any institution that fails to engage with this new reality risks becoming obsolete. The speaker warns that staying static will lead to fossilisation.
EVIDENCE
The speaker called AI a “paradigm shift… a 360 degree shift” and said that organizations not adapting will be fossilized [97-100].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The 360° paradigm shift of AI is described in the AI 2.0 Reimagining Indian education system and Future of Learning sessions [S11][S4]; the warning that organisations must adapt to avoid obsolescence is echoed in the trusted AI triple-helix model [S27].
MAJOR DISCUSSION POINT
Reimagining higher education and institutions for the AI era
AGREED WITH
Speaker 1, Professor KK Aggarwal, Pankaj Sir, Patil Sir
DISAGREED WITH
Patil Sir, Pranav Kothari
Argument 2
India must become a global AI leader; AI can dismantle language barriers and expand access
EXPLANATION
The speaker argues that AI can break linguistic barriers, allowing communication across languages, and that India must seize this opportunity to become a world leader in AI, leveraging its large population and youthful demographic.
EVIDENCE
He described AI dismantling language barriers, giving examples of translation from Bhojpuri to multiple languages, and emphasized India’s potential to lead globally in AI [138-144].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The need for India to close the capability gap and assume a global AI leadership role is emphasized in the AI Impact Summit session [S23]; language-translation tools that work offline are documented in the emerging-tech overview and device-level demonstrations [S29][S31]; on-device AI models enabling offline operation are described in Gemini Robotics On-Device [S30].
MAJOR DISCUSSION POINT
Reimagining higher education and institutions for the AI era
AGREED WITH
Speaker 3, Patil Sir
Argument 3
Shift from a consumption‑driven model to a creation‑driven, problem‑solving nation
EXPLANATION
The speaker calls for a transition from a society that mainly consumes digital content to one that creates, solves problems, and drives innovation, especially through AI‑enabled education and skill development.
EVIDENCE
He outlined the need for a system where people create rather than consume, and advocated moving from degree-awarding to problem-solving institutions [387-401].
MAJOR DISCUSSION POINT
Future vision for education outcomes and societal impact
AGREED WITH
Suresh Sir, Patil Sir, Pankaj Sir
S
Speaker 3
3 arguments168 words per minute1256 words447 seconds
Argument 1
Collaboration among industry, academia and startups creates localized AI solutions (e.g., language translation)
EXPLANATION
The speaker highlights that partnerships between Intel, startups, and academic institutions are producing AI tools tailored to local languages and contexts, such as real‑time translation, which can improve learning outcomes.
EVIDENCE
He described working with startups to develop AI that translates Bhojpuri and other regional languages, noting the impact on rural learners and the importance of ecosystem collaboration [292-298][304-309].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The triple-helix model of government, academia and industry is highlighted as essential for AI transformation [S27]; collaborations with research institutions to build adaptive AI learning systems are described in Education meets AI [S33]; support for startup incubation and revenue models is discussed in the AI Innovation in India briefing [S32].
MAJOR DISCUSSION POINT
Industry and private‑sector contributions to AI‑enabled education
AGREED WITH
Speaker 2, Patil Sir
Argument 2
AI devices can operate offline, delivering real‑time translation and 24/7 tutoring without cloud dependence
EXPLANATION
The speaker points out that Intel’s AI‑enabled hardware can run locally, providing translation and tutoring services without needing internet connectivity, thereby expanding reach to underserved areas.
EVIDENCE
He mentioned AI PCs that run locally, offering voice-to-voice translation and tutoring without cloud or internet connections [332-337].
MAJOR DISCUSSION POINT
Industry and private‑sector contributions to AI‑enabled education
Argument 3
Intel’s programmes (Unnati, Future for Workforce) provide AI curricula, internships and AI‑enabled teaching tools
EXPLANATION
Intel has launched educational programmes that embed AI into curricula from K‑12 to higher education, offering internships and industry‑relevant projects that demonstrate AI’s practical applications.
EVIDENCE
He cited the Unnati programme, the Future for Workforce initiative, and a case where a rural student created an AI-based defect-detection project during an internship [321-326].
MAJOR DISCUSSION POINT
Industry and private‑sector contributions to AI‑enabled education
P
Professor KK Aggarwal
3 arguments150 words per minute573 words227 seconds
Argument 1
AI should augment creativity, not shortcut thinking
EXPLANATION
The professor stresses that AI must be used to enhance creative processes rather than replace them, warning that over‑reliance could diminish critical thinking skills among learners.
EVIDENCE
He said AI should “supplements our creativity it does not give us a shortcut to creativity and thereby reduce our thinking powers” [82-84].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The distinction between AI as a tool versus a replacement is explored in the Bottom-up AI discussion on human imperfection [S34]; ethical considerations about preserving human creativity are raised in the transparency and explainability session [S28].
MAJOR DISCUSSION POINT
AI as supplement versus replacement in teaching and learning
AGREED WITH
Patil Sir
DISAGREED WITH
Pankaj Sir, Speaker 1
Argument 2
Vision beyond incremental reforms: focus on skill‑based, problem‑solving curricula powered by AI
EXPLANATION
The professor argues that merely tweaking existing curricula is insufficient; instead, education should be reimagined to prioritize skill development and problem‑solving, with AI as an enabling tool.
EVIDENCE
He noted that “this is not the time for doing the reforms in the higher education system. It’s like reimagining” and emphasized a skill-based, problem-solving focus [78-84].
MAJOR DISCUSSION POINT
Reimagining higher education and institutions for the AI era
AGREED WITH
Speaker 1, Speaker 2, Pankaj Sir, Patil Sir
Argument 3
Empower students to shape curricula and demand AI‑enhanced subjects for their degrees
EXPLANATION
The professor calls for student agency in curriculum design, urging that learners should be able to request AI‑related subjects and influence degree structures to stay relevant in the AI era.
EVIDENCE
He urged “let the youth assert themselves that we need these subjects to be taught for our degree” and emphasized teaching students rather than subjects [381-384].
MAJOR DISCUSSION POINT
Future vision for education outcomes and societal impact
P
Pankaj Sir
4 arguments132 words per minute1189 words536 seconds
Argument 1
Teachers remain essential as mentors, ethical guides and facilitators of inquiry
EXPLANATION
Pankaj stresses that teachers cannot be replaced by AI; instead, they will evolve into mentors and designers of learning experiences, providing ethical guidance and fostering inquiry.
EVIDENCE
He described teachers as “mentors and learning designers, not learning followers” and emphasized AI as an assistant, not a master [176-180].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The ethical imperative to keep humans central in AI-augmented learning is highlighted in the transparency and explainability session [S28]; the view of AI as a tool supporting, not replacing, educators is reinforced in the Bottom-up AI discussion [S34].
MAJOR DISCUSSION POINT
AI as supplement versus replacement in teaching and learning
AGREED WITH
Professor KK Aggarwal
Argument 2
Establish AI‑driven regulator for teacher education; 70‑80 % of assessment to be AI‑based
EXPLANATION
Pankaj proposes creating a regulator that leverages AI to conduct the majority of assessments, reducing human workload and increasing efficiency in teacher education evaluation.
EVIDENCE
He outlined a new AI-oriented regulator where “70 to 80 percent assessment will be done through AI” [404-408].
MAJOR DISCUSSION POINT
Policy, governance and regulatory frameworks for AI integration
AGREED WITH
Speaker 1
DISAGREED WITH
Speaker 1, Professor KK Aggarwal
Argument 3
National programs (NPST, NMM) use AI to match mentors with mentees and support teacher development
EXPLANATION
The speaker highlights two national initiatives that employ AI to analyse queries, identify suitable mentors, and facilitate teacher‑student matching, thereby enhancing professional development.
EVIDENCE
He explained that NPST and NMM are “designed on a digital platform… AI is helping us analysing people’s queries… identifying the right mentor” [192-195].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Efforts to close the AI capability gap through improved access, literacy and agency are emphasized in the AI Impact Summit session [S23]; AI-based mentor-matching platforms are consistent with the broader push for AI-enabled capacity building.
MAJOR DISCUSSION POINT
Policy, governance and regulatory frameworks for AI integration
AGREED WITH
Patil Sir
Argument 4
Promote Indian knowledge systems and languages within AI to preserve cultural heritage
EXPLANATION
Pankaj argues that AI should be trained on Indian knowledge and languages rather than Western datasets, ensuring cultural preservation and relevance for Indian learners.
EVIDENCE
He called for “working very, very hard… if we take AI out of Western knowledge, if we promote AI in Indian knowledge, Indian languages” [419-424].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The concept of digital solidarity and the importance of local knowledge in AI development are discussed in the Crossroads between Sovereignty and Sustainability briefing [S25]; capacity-building initiatives for indigenous AI datasets are highlighted in the AI Impact Summit [S23].
MAJOR DISCUSSION POINT
Future vision for education outcomes and societal impact
P
Patil Sir
5 arguments151 words per minute2136 words847 seconds
Argument 1
Integration of school and higher‑education ecosystems; AI becomes the “spine” of the education system
EXPLANATION
Patil emphasizes that AI should link school and higher‑education sectors, acting as the central backbone that supports learning processes across the entire education continuum.
EVIDENCE
He stated “AI is spine of entire education system nowadays” and described the need for integrated ecosystems [197-199].
MAJOR DISCUSSION POINT
Reimagining higher education and institutions for the AI era
AGREED WITH
Speaker 1, Professor KK Aggarwal, Speaker 2, Pankaj Sir
Argument 2
Urgent need to build AI literacy among teachers and bridge the digital‑infrastructure divide
EXPLANATION
Patil points out the massive gap in AI‑savvy teachers and the lack of infrastructure in many schools, calling for urgent capacity‑building and investment to ensure equitable AI adoption.
EVIDENCE
He noted that only 4-5 lakh schools have ICT labs, that 1 crore teachers are largely not AI-literate, and highlighted rural-urban disparities [221-227].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Closing the capability gap through AI literacy and equitable infrastructure is a key recommendation of the AI Impact Summit session [S23]; equity and accountability in AI deployment are stressed in the AI Governance principles [S18].
MAJOR DISCUSSION POINT
Policy, governance and regulatory frameworks for AI integration
AGREED WITH
Pankaj Sir
Argument 3
Ethical stance: treat AI as a tool, not a human, to avoid misuse and mental‑health risks
EXPLANATION
Patil warns against anthropomorphising AI, urging that it be regarded as a machine to prevent over‑reliance, mental stress, and ethical pitfalls.
EVIDENCE
He said “AI is a machine… if we start taking it as a human being then it will be a problem… AI is a boon if used properly, a bane if misused” [234-239].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The Bottom-up AI discussion emphasizes AI as a tool rather than a human replacement [S34]; ethical considerations around transparency and explainability are explored in the high-level session on AI ethics [S28].
MAJOR DISCUSSION POINT
Policy, governance and regulatory frameworks for AI integration
AGREED WITH
Professor KK Aggarwal
Argument 4
Significant investment in AI Centres of Excellence, MOUs with tech firms, and AI schools on IIT campuses
EXPLANATION
Patil outlines ongoing large‑scale investments, partnerships with global tech companies, and the establishment of AI Centres of Excellence to accelerate AI integration in education.
EVIDENCE
He listed “Lot of investment… AI COE in education… IIT Madras hosting that… MOUs with Google, Microsoft… AI schools on IIT campuses” [239-244].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Programmes supporting AI startups, revenue models and industry partnerships are outlined in the AI Innovation in India briefing [S32]; the triple-helix collaboration model underscores the role of MOUs with global tech firms [S27].
MAJOR DISCUSSION POINT
Policy, governance and regulatory frameworks for AI integration
DISAGREED WITH
Pranav Kothari, Speaker 2
Argument 5
Aim for “Vixit Bharat 2047”: AI as a catalyst for exponential economic growth and higher‑skill employment
EXPLANATION
Patil envisions AI driving India toward a prosperous future by 2047, delivering massive economic gains, skill development, and positioning the country as a global AI leader.
EVIDENCE
He declared “AI plus education can take us towards Vixit Bharat 2047… AI is not a choice… providing multiple new methods of research, new methods of industrial internship” [207-210].
MAJOR DISCUSSION POINT
Future vision for education outcomes and societal impact
AGREED WITH
Speaker 2, Suresh Sir, Pankaj Sir
P
Pranav Kothari
6 arguments160 words per minute1084 words404 seconds
Argument 1
High usage among private‑school students (≈50%)
EXPLANATION
The survey found that roughly half of the private‑school students sampled in Delhi reported using AI‑based tools regularly, indicating a substantial penetration of AI in school settings.
EVIDENCE
He reported “almost 50 % of them use AI based tools… multiple times a week” based on the Delhi private-school sample [25-26].
MAJOR DISCUSSION POINT
Current AI adoption in school education (survey findings)
Argument 2
Primary purposes: searching academic information and writing assistance
EXPLANATION
Students mainly employ AI to look up academic content and to obtain help with writing tasks, rather than for advanced problem solving or calculations.
EVIDENCE
He explained that AI use is “concentrated for generally searching for new academic information while studying or writing assistance” [32].
MAJOR DISCUSSION POINT
Current AI adoption in school education (survey findings)
Argument 3
Students perceive AI as helpful for school‑exam and entrance‑exam preparation
EXPLANATION
Learners view AI tools as beneficial for preparing both school examinations and competitive entrance tests, suggesting perceived value in exam‑related study.
EVIDENCE
He noted “relatively high perceived helpfulness of AI platforms for both studying for school exams and entrance exams” [39].
MAJOR DISCUSSION POINT
Current AI adoption in school education (survey findings)
Argument 4
Major challenges: frequent hallucinations and low accuracy in logical/numerical tasks
EXPLANATION
A significant proportion of students encounter incorrect or fabricated AI outputs (hallucinations) and report that AI performs poorly on logical or numerical problems, limiting its reliability.
EVIDENCE
He reported that “students regularly encounter AI hallucination” and that “accuracy for logical or numerical subjects is relatively lower” [46-48].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Issues of AI hallucination and the need for explainability are highlighted in the transparency and explainability high-level session [S28].
MAJOR DISCUSSION POINT
Current AI adoption in school education (survey findings)
DISAGREED WITH
Patil Sir, Speaker 2
Argument 5
Learners overwhelmingly prefer human interaction over AI tutors
EXPLANATION
The data show a strong preference among students for traditional, in‑person teaching rather than AI‑based tutoring, positioning AI as a supplementary aid rather than a replacement.
EVIDENCE
He stated there is “overwhelming support for the idea that students still prefer traditional human interaction based learning” and that AI is “supplementary” [56-57].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The Bottom-up AI discussion stresses the importance of human mentorship and cautions against over-reliance on AI, supporting the preference for human interaction [S34].
MAJOR DISCUSSION POINT
AI as supplement versus replacement in teaching and learning
AGREED WITH
Professor KK Aggarwal, Pankaj Sir
Argument 6
Existing AI tools are less effective than YouTube/ICT for adaptive, personalized learning
EXPLANATION
When compared with established platforms like YouTube and ICT‑based resources, AI tools received lower ratings for providing adaptive, individualized learning experiences.
EVIDENCE
He reported that “there’s still overwhelming support for YouTube video or ICT based learning tools” and that AI tools are not yet delivering personalized solutions [50-53].
MAJOR DISCUSSION POINT
AI as supplement versus replacement in teaching and learning
S
Suresh Sir
3 arguments154 words per minute395 words153 seconds
Argument 1
Advocates a shift from a consumption‑driven digital culture to a creation‑driven one, urging the development of systems that enable people to produce content and exercise creativity.
EXPLANATION
Suresh argues that India must move beyond merely consuming digital media and instead foster a environment where citizens create and upload content, leveraging AI to unlock creative potential.
EVIDENCE
He recalls the earlier debate about being a “download nation” versus an “upload nation” and states that the current conversation has moved to whether India will remain a consumption nation or become a creative, production-focused nation, calling for a system that enables people to create rather than just consume [388-390].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The Future of Learning session calls for a transition to a “creative nation” where people create rather than consume [S4]; the Leaders TalkX analysis critiques consumption-centric models and calls for a paradigm shift toward creation [S24].
MAJOR DISCUSSION POINT
Future vision for education outcomes and societal impact
Argument 2
Calls for aligning higher‑education qualifications with labour‑market needs, emphasizing skill‑based, problem‑solving degrees rather than traditional credentialism.
EXPLANATION
He proposes that university degrees should be directly linked to job requirements, allowing students to earn credentials by solving real‑world problems, thereby making skill and capability the driver of the economy.
EVIDENCE
He notes that in some countries a high-school diploma suffices for many jobs, and suggests that in India students should be able to pick a problem, solve it, and receive a degree, emphasizing that skill and capability should drive the economy rather than degrees dictating skill development [390-394].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Closing the capability gap by aligning education with labour-market demands is a focus of the AI Impact Summit session [S23]; the triple-helix approach to redesigning higher-education curricula is emphasized in the trusted AI framework [S27].
MAJOR DISCUSSION POINT
Future vision for education outcomes and societal impact
Argument 3
Urges breaking the silos between primary, secondary and higher education by using technology to interconnect the entire education system.
EXPLANATION
Suresh points out that the current education system operates in isolated layers and argues that technology should be leveraged to create seamless pathways across all levels, citing the integrated U.S. model as an example.
EVIDENCE
He observes that the 12th-grade, higher-education and primary education systems work in silos and stresses that technology must be employed to interconnect them, referencing how the United States has well-connected high-school and higher-education ecosystems [395-398].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The trusted AI framework advocates for integrated ecosystems linking school and higher-education sectors [S27]; technology-enabled personalized learning across education levels is described in Education meets AI [S33].
MAJOR DISCUSSION POINT
Reimagining higher education and institutions for the AI era
Agreements
Agreement Points
AI transformation requires rethinking institutional structures, curricula and governance
Speakers: Speaker 1, Professor KK Aggarwal, Speaker 2, Pankaj Sir, Patil Sir
Emphasised that AI transformation demands rethinking institutional structures, curricula and governance Vision beyond incremental reforms: focus on skill‑based, problem‑solving curricula powered by AI AI represents a 360° paradigm shift; institutions that do not adapt will be fossilised Integration of school and higher‑education ecosystems; AI becomes the “spine” of the education system Integration of school and higher‑education ecosystems; AI becomes the “spine” of the education system
All five speakers highlighted that the rapid emergence of AI forces a fundamental redesign of educational institutions, curricula and governance mechanisms to prepare for future jobs and skills [10-13][78-84][97-100][197-199][197-199].
POLICY CONTEXT (KNOWLEDGE BASE)
This consensus mirrors calls for new institutional structures and governance models to accommodate AI-driven change, as highlighted in the France-India AI summit and recent AI governance literature [S48][S49][S50].
Teachers remain essential as mentors and ethical guides; AI should be an assistant, not a replacement
Speakers: Professor KK Aggarwal, Pankaj Sir
AI should augment creativity, not shortcut thinking Teachers remain essential as mentors, ethical guides and facilitators of inquiry
Both speakers stressed that AI must support, not supplant, human educators – teachers should evolve into mentors and designers of learning while AI serves as a supplemental tool [82-84][176-180].
POLICY CONTEXT (KNOWLEDGE BASE)
UNESCO’s AI-in-education guidance and the US NEA policy both stress the teacher’s central, mentorship role while positioning AI as a supportive tool rather than a substitute [S61][S68][S73][S74][S75].
Urgent need to build AI literacy among teachers and bridge digital‑infrastructure gaps
Speakers: Patil Sir, Pankaj Sir
Urgent need to build AI literacy among teachers and bridge the digital‑infrastructure divide National programs (NPST, NMM) use AI to match mentors with mentees and support teacher development
Patil highlighted the scarcity of AI-savvy teachers and inadequate ICT infrastructure, while Pankaj described AI-driven mentor-matching programmes that aim to raise teacher capacity [221-227][192-195].
POLICY CONTEXT (KNOWLEDGE BASE)
Policy briefs on bridging the AI divide emphasize teacher training and broadband infrastructure as prerequisites for effective AI integration in schools [S56][S58][S59][S51][S61].
AI can dismantle language barriers and enable localized, multilingual solutions
Speakers: Speaker 2, Speaker 3, Patil Sir
India must become a global AI leader; AI can dismantle language barriers and expand access Collaboration among industry, academia and startups creates localized AI solutions (e.g., language translation) AI lab … translate Bhojpuri to multiple languages
All three participants pointed to AI-driven translation tools that break linguistic obstacles, from national-level AI labs to industry-academia startups delivering real-time multilingual support [138-144][292-309][214-218].
POLICY CONTEXT (KNOWLEDGE BASE)
Multiple reports underline AI’s potential for multilingualism and language preservation, including offline translation tools for inclusive societies [S53][S54][S55][S69].
Shift from a consumption‑driven model to a creation‑driven, problem‑solving nation, with AI as an economic catalyst
Speakers: Speaker 2, Suresh Sir, Patil Sir, Pankaj Sir
Shift from a consumption‑driven model to a creation‑driven, problem‑solving nation Advocates a shift … creation … Aim for “Vixit Bharat 2047”: AI as a catalyst for exponential economic growth and higher‑skill employment AI plus education can take us towards Vixit Bharat 2047
The speakers converged on the vision that India must move beyond passive consumption toward AI-enabled creation and problem-solving, positioning AI as a driver of rapid economic growth and a high-skill future [387-401][388-390][207-210][207-210].
POLICY CONTEXT (KNOWLEDGE BASE)
Strategic documents from emerging economies describe AI as a catalyst for moving toward creation-oriented economies and problem-solving capabilities [S48][S51][S70].
Students prefer human interaction over AI tutors; AI should be used as a supplementary aid
Speakers: Pranav Kothari, Professor KK Aggarwal, Pankaj Sir
Learners overwhelmingly prefer human interaction over AI tutors AI should augment creativity, not shortcut thinking AI is assistant not master
Survey data showed a strong preference for in-person teaching, and both academic speakers reinforced that AI is best positioned as a complementary resource rather than a full replacement [56-57][82-84][176-180].
POLICY CONTEXT (KNOWLEDGE BASE)
Empirical studies from Indian higher-education contexts report student preference for human contact and view AI as a supplemental resource [S67][S73].
Treat AI as a tool, not a human, to avoid ethical pitfalls and mental‑health risks
Speakers: Patil Sir, Professor KK Aggarwal
Ethical stance: treat AI as a tool, not a human, to avoid misuse and mental‑health risks AI should augment creativity, not shortcut thinking
Both speakers warned against anthropomorphising AI, emphasizing that it must remain a machine-based aid to safeguard ethical standards and user well-being [234-239][82-84].
POLICY CONTEXT (KNOWLEDGE BASE)
Policy frameworks caution against anthropomorphising AI, highlighting ethical and mental-health considerations in educational settings [S75][S73][S68].
Establish AI‑driven regulatory and assessment mechanisms for education
Speakers: Pankaj Sir, Speaker 1
Establish AI‑driven regulator for teacher education; 70‑80 % of assessment to be AI‑based Emphasised that AI transformation demands rethinking institutional structures, curricula and governance
Pankaj proposed a new AI-centric regulator handling the bulk of assessments, while Speaker 1 called for broader governance reforms to accommodate AI’s impact [404-408][10-13].
POLICY CONTEXT (KNOWLEDGE BASE)
UNESCO and European policy initiatives call for dedicated AI assessment and regulatory mechanisms within education systems [S61][S62][S66][S68].
Similar Viewpoints
Both highlighted the need to move beyond incremental curriculum tweaks toward a comprehensive, skill‑oriented redesign driven by AI [10-13][78-84].
Speakers: Speaker 1, Professor KK Aggarwal
Emphasised that AI transformation demands rethinking institutional structures, curricula and governance Vision beyond incremental reforms: focus on skill‑based, problem‑solving curricula powered by AI
Both framed AI as a transformative, 360° shift that can break linguistic barriers and position India as a world leader [138-144][97-100].
Speakers: Patil Sir, Speaker 2
India must become a global AI leader; AI can dismantle language barriers and expand access AI represents a 360° paradigm shift; institutions that do not adapt will be fossilised
Both stressed that teachers must stay central to education while rapidly up‑skilling them in AI and digital tools [176-180][221-227].
Speakers: Pankaj Sir, Patil Sir
Teachers remain essential as mentors, ethical guides and facilitators of inquiry Urgent need to build AI literacy among teachers and bridge the digital‑infrastructure divide
Unexpected Consensus
Both government and industry see offline, on‑device AI translation as a key solution for language inclusion
Speakers: Patil Sir, Speaker 3
AI lab … translate Bhojpuri to multiple languages AI PCs run locally, offering voice‑to‑voice translation without cloud or internet
While Patil discussed a government-run AI lab providing multilingual translation, Speaker 3 highlighted Intel’s on-device AI PCs that deliver the same capability offline, showing an unexpected alignment between public and private sectors on offline AI solutions for linguistic inclusion [214-218][332-337].
POLICY CONTEXT (KNOWLEDGE BASE)
Policy discussions on preserving linguistic diversity stress the importance of on-device, offline translation to ensure equitable access [S54][S55][S53].
Overall Assessment

There is strong, cross‑sectoral consensus that AI is a transformative force demanding systemic redesign of education, preservation of the teacher’s mentorship role, massive capacity‑building to bridge digital divides, and leveraging AI for language inclusion and economic growth.

High consensus across government, academia and industry, indicating a solid foundation for coordinated policy actions and collaborative initiatives on AI‑enabled education.

Differences
Different Viewpoints
Extent of AI use in high‑stakes assessment and certification
Speakers: Pankaj Sir, Pranav Kothari, Professor KK Aggarwal
Establish AI‑driven regulator for teacher education; 70‑80 % of assessment to be AI‑based Major challenges: frequent hallucinations and low accuracy in logical/numerical tasks AI should augment creativity, not shortcut thinking
Pankaj proposes that the future teacher-education regulator should rely on AI for the majority of assessment (70-80 %) [404-408]. Pranav, citing his survey, warns that students regularly encounter AI hallucinations and that accuracy on logical or numerical tasks is low, casting doubt on the reliability of AI for high-stakes evaluation [46-48]. Professor Aggarwal adds a cautionary note that AI must not become a shortcut that erodes creative thinking, implying that heavy reliance on AI for assessment could be counter-productive [82-84]. The three positions therefore clash over how much AI should be trusted for formal assessment.
POLICY CONTEXT (KNOWLEDGE BASE)
Debates around AI-enabled high-stakes testing reference emerging assessment standards and the need for safeguards, as outlined in UNESCO’s assessment guidelines [S61][S62].
Pace of AI rollout versus concerns about reliability and equity
Speakers: Patil Sir, Pranav Kothari, Speaker 2
Significant investment in AI Centres of Excellence, MOUs with tech firms, and AI schools on IIT campuses Major challenges: frequent hallucinations and low accuracy in logical/numerical tasks AI represents a 360° paradigm shift; institutions that do not adapt will be fossilised
Patil emphasises a ‘quantum jump’ in AI adoption, pointing to massive investments, AI centres of excellence and rapid user uptake (e.g., 5 crore users of ChatGPT in 40 days) [214-219][239-244]. Pranav, however, highlights persistent technical shortcomings-hallucinations and poor accuracy-that limit AI’s usefulness in education [46-48]. Speaker 2 frames AI as a 360° paradigm shift that will fossilise any institution that does not move quickly, thereby pressuring rapid adoption [97-100]. The tension lies between Patil’s optimism for swift, large-scale deployment and Pranav’s caution about current tool reliability and equity of access.
POLICY CONTEXT (KNOWLEDGE BASE)
Analyses of the “hard power” of AI highlight a mismatch between rapid technology deployment and slower policy/equity safeguards, echoing concerns about digital divides [S70][S56][S58].
Governance model for AI‑enabled education: centralized AI regulator vs multi‑stakeholder, human‑centric governance
Speakers: Pankaj Sir, Speaker 1, Professor KK Aggarwal
Establish AI‑driven regulator for teacher education; 70‑80 % of assessment to be AI‑based Emphasised that AI transformation demands rethinking institutional structures, curricula and governance AI should augment creativity, not shortcut thinking
Pankaj advocates creating a new AI-oriented regulator that will automate most assessment functions [404-408]. Speaker 1, in the opening remarks, calls for a broader redesign of institutional structures, curricula and governance to address AI-driven transformation, implying a more distributed, policy-driven approach [10-13]. Professor Aggarwal stresses that AI must be used to supplement human creativity rather than replace it, suggesting governance that keeps humans central to decision-making [82-84]. The disagreement concerns whether AI governance should be highly automated and centralized or retain strong human oversight and multi-stakeholder input.
POLICY CONTEXT (KNOWLEDGE BASE)
International and European AI governance literature contrasts centralized regulatory approaches with distributed, multi-stakeholder models for education AI oversight [S49][S64][S65][S66].
Unexpected Differences
Optimism about AI’s ability to bridge language barriers versus caution about AI’s hallucinations and ethical risks
Speakers: Speaker 3, Pranav Kothari, Patil Sir
Collaboration among industry, academia and startups creates localized AI solutions (e.g., language translation) Major challenges: frequent hallucinations and low accuracy in logical/numerical tasks AI is a tool, not a human; misuse can cause mental‑health risks
Speaker 3 (Aditi) celebrates industry-academia collaborations that have already produced on-device, real-time translation tools, presenting AI as a near-ready solution for multilingual education [304-309][332-337]. In contrast, Pranav’s survey data highlight frequent hallucinations and low accuracy, especially for logical or numerical tasks, suggesting that AI outputs cannot yet be trusted for critical learning [46-48]. Patil adds an ethical warning that treating AI as a human can cause mental-health problems [234-239]. The unexpected tension is between a highly optimistic view of AI’s immediate linguistic benefits and a grounded concern about its current technical and ethical shortcomings.
POLICY CONTEXT (KNOWLEDGE BASE)
While AI promises multilingual inclusion, scholars warn of hallucinations and ethical pitfalls, urging responsible deployment [S53][S54][S55][S70].
Overall Assessment

The panel broadly concurs that AI will reshape Indian education, but the debate centres on how quickly and how deeply AI should be embedded. The most salient disagreements involve (1) the proportion of assessment that should be automated, (2) the speed of large‑scale AI deployment versus concerns about reliability, hallucinations and equity, and (3) the governance model—centralised AI‑driven regulator versus human‑centric, multi‑stakeholder oversight. These divergences reflect a tension between visionary, technology‑first strategies and cautionary, evidence‑based approaches.

Moderate to high. While there is a shared vision of AI’s strategic importance, the conflicting positions on assessment automation, rollout pace, and governance create substantive policy friction. If unresolved, these disagreements could lead to fragmented implementation—some institutions may push for rapid AI‑driven assessment while others retain traditional safeguards—potentially undermining the coherence of national AI‑education strategies.

Partial Agreements
All participants agree that AI must be incorporated into education and that it offers transformative potential. However, they diverge on the primary mechanism: Pankaj stresses teacher‑centred mentorship with AI as an assistant; Patil calls for systemic integration of AI across school and higher education; Aggarwal warns that AI should only augment creativity; Suresh pushes for a broader societal shift toward creation rather than consumption; Speaker 3 highlights industry‑academia‑startup collaborations to produce localized tools. The shared goal is AI‑enabled education, but the pathways—curriculum redesign, teacher‑mentor models, systemic integration, cultural shift, and private‑sector partnerships—are contested.
Speakers: Speaker 1, Pankaj Sir, Patil Sir, Professor KK Aggarwal, Suresh Sir, Speaker 3
Emphasised that AI transformation demands rethinking institutional structures, curricula and governance Teachers remain essential as mentors, ethical guides and facilitators of inquiry Integration of school and higher‑education ecosystems; AI becomes the “spine” of the education system AI should augment creativity, not shortcut thinking Shift from a consumption‑driven digital culture to a creation‑driven, problem‑solving nation Collaboration among industry, academia and startups creates localized AI solutions (e.g., language translation)
Both the survey presenter (Pranav) and the policy makers (Patil, Speaker 2) recognise that AI usage is already high and that India must act quickly. Pranav provides empirical evidence of 50 % adoption in private schools [25-26]; Patil and Speaker 2 argue for massive investment and rapid policy response [214-219][97-100]. The disagreement lies in the emphasis: Pranav focuses on documenting current usage and its limitations, while Patil and Speaker 2 stress large‑scale rollout and strategic positioning, with less attention to the quality concerns raised by the survey.
Speakers: Pranav Kothari, Patil Sir, Speaker 2
High usage among private‑school students (~50%) Significant investment in AI Centres of Excellence, MOUs with tech firms, and AI schools on IIT campuses AI represents a 360° paradigm shift; institutions that do not adapt will be fossilised
Takeaways
Key takeaways
AI adoption among private‑school students in Delhi is high (≈50%) and is used mainly for information search and writing assistance. Students view AI as helpful for exam preparation, but report frequent hallucinations and low accuracy in logical/numerical tasks. Across the panel, AI is seen as a supplement to, not a replacement for, human teachers; teachers should act as mentors, ethical guides and facilitators of inquiry. AI represents a 360° paradigm shift; institutions that fail to adapt risk becoming obsolete. India must aim to become a global AI leader, leveraging AI to break language barriers and expand educational access. Reimagining higher education requires moving beyond incremental reforms toward skill‑based, problem‑solving curricula powered by AI. Policy and governance need AI‑driven regulatory mechanisms (e.g., AI‑based assessment for teacher education) and national programmes such as NPST and NMM that use AI for mentor‑mentee matching. Building AI literacy among teachers and closing the digital‑infrastructure divide are critical prerequisites. Industry‑academia‑startup collaborations (e.g., Intel’s Unnati, AI‑enabled translation devices, AI Centres of Excellence) are essential for creating localized, offline AI solutions. A long‑term vision (Vixit Bharat 2047) envisions AI as the spine of the education system, driving economic growth, preserving Indian knowledge systems, and fostering a creation‑driven society.
Resolutions and action items
Launch and disseminate the “AI in School Education” report (completed during the session). Develop an AI‑driven regulator for teacher education, targeting 70‑80% AI‑based assessment (proposed by Pankaj Sir). Scale national programmes (NPST, NMM) that use AI to match mentors with teachers and students (Pankaj Sir). Introduce AI curriculum from Grade 3 onward to teach AI concepts and responsible use (Patil Sir). Create AI literacy and training programmes for teachers across schools and higher‑education institutions (Patil Sir, Pankaj Sir). Establish AI Centres of Excellence and MOUs with technology firms (e.g., IIT Madras, Intel) to provide tools, internships and localized solutions (Patil Sir, Speaker 3). Integrate school and higher‑education ecosystems through university‑school outreach programmes (e.g., COEP’s 100‑school engagement) (Patil Sir). Promote development of AI tools that operate offline/on‑device to reduce reliance on cloud and mitigate hallucination risks (Speaker 3). Encourage research ethics education and AI‑assisted content creation while ensuring human oversight (Pankaj Sir).
Unresolved issues
How to reliably address AI hallucinations and improve accuracy for logical/numerical tasks in school settings. Concrete strategies and funding mechanisms to bridge the digital‑infrastructure gap in rural and tribal schools. Standardised frameworks for AI‑based adaptive and personalized learning that outperform existing YouTube/ICT resources. Mechanisms for assessing AI‑generated content and ensuring ethical use without over‑reliance on AI. Ways to embed Indian knowledge systems and regional languages into AI models at scale. Long‑term governance model for AI regulation in education, including accountability and data privacy. Specific timelines and responsible agencies for implementing AI‑driven assessment and curriculum reforms.
Suggested compromises
Position AI as an augmentative tool that supports creativity rather than a shortcut that replaces thinking (Professor KK Aggarwal). Maintain human teachers as mentors and ethical guides while leveraging AI for routine tasks and content delivery (Pankaj Sir, Patil Sir). Combine AI‑based tools with traditional resources such as YouTube and ICT, acknowledging that current AI is less effective for personalized learning (Pranav Kothari). Adopt a “process‑rich evidence” approach to learning assessment rather than solely product‑based metrics (Pankaj Sir). Treat AI as a machine, not a human entity, to mitigate mental‑health risks and prevent over‑dependence (Patil Sir). Integrate AI across the education continuum (school to higher education) while preserving the distinct roles of each level (Patil Sir).
Thought Provoking Comments
Students report frequent AI hallucinations and incorrect information, and despite this, they still perceive AI as helpful for studying and exams, but overwhelmingly prefer traditional human interaction over AI tutors.
Highlights the paradox of high AI adoption alongside critical concerns about accuracy and the irreplaceable value of human teachers, grounding the discussion in real student experiences.
Shifted the conversation from abstract policy to concrete challenges; prompted panelists to address how AI should supplement rather than replace teaching and sparked subsequent remarks on AI as an assistant.
Speaker: Pranav Kothari
AI must supplement our creativity, not become a shortcut that reduces our thinking powers.
Introduces a nuanced caution that AI’s role should enhance, not diminish, human intellectual effort, framing the ethical dimension of AI integration.
Reoriented the debate toward preserving critical thinking; influenced later speakers (e.g., Pankaj and Patil) to emphasize mentorship, ethical use, and the need for AI governance.
Speaker: Professor KK Aggarwal
AI is a 360‑degree paradigm shift that will determine whether institutions become fossilized or become global leaders; it dismantles language barriers, enabling anyone to communicate in any language, and India must reimagine its education system for 2050‑2100 to become an AI leader.
Broadens the scope from immediate educational concerns to national strategic vision, linking AI adoption with economic destiny and geopolitical power.
Created a turning point that moved the panel from discussing current usage to long‑term systemic transformation; other panelists referenced this vision when outlining future institutional models and policy priorities.
Speaker: Speaker 2 (Ramanan)
AI will not replace teachers; teachers will become mentors, learning designers, and ethical guides, while AI serves as an assistant that requires supervision and governance rather than mere compliance.
Reframes the teacher’s role in the AI era, distinguishing between governance (compliance) and leadership (innovation), and stresses the need for AI‑assisted assessment and ethical standards.
Deepened the analysis of AI’s operational role in education, leading to discussions on AI‑driven assessment, regulator AI tools, and the importance of mentorship, influencing Patil’s and Aggarwal’s later points.
Speaker: Pankaj Sir
Comparing adoption timelines: telephone took 75 years to reach 5 crore users, whereas ChatGPT reached the same in 40 days—a quantum jump that creates massive challenges for infrastructure and equitable access.
Provides a striking quantitative illustration of AI’s rapid diffusion, emphasizing urgency and the digital divide, which reframes the conversation around scalability and policy response.
Prompted panelists to address infrastructure gaps, rural‑urban disparities, and the need for coordinated government‑industry action; it also reinforced the earlier point about AI’s transformative speed.
Speaker: Patil Sir
Intel is developing AI that runs locally on devices, offering voice‑to‑voice translation without internet, creating a 24‑hour, language‑personalized tutor that mitigates hallucination risks.
Introduces a concrete technological solution that directly tackles earlier concerns about hallucinations and language barriers, linking industry innovation to educational needs.
Shifted the dialogue toward practical implementations; other speakers referenced local AI tools as examples of how to safely integrate AI, and it reinforced the theme of AI as an enabling supplement.
Speaker: Aditi Nanda (Intel)
We must move from a consumption‑nation to a creation‑nation, shifting higher education from degree‑awarding to problem‑solving institutions, and interconnect primary, secondary, and tertiary systems.
Calls for a fundamental reorientation of the education ecosystem toward creativity, problem‑solving, and systemic integration, expanding the conversation beyond technology to pedagogy and societal outcomes.
Inspired subsequent remarks about interdisciplinary curricula, AI‑driven mentorship, and the need for seamless pathways across education levels; it reinforced the long‑term vision introduced earlier.
Speaker: Suresh Yadav
Overall Assessment

The discussion evolved from presenting survey data to a strategic, forward‑looking dialogue about AI’s role in India’s education system. Key comments acted as catalysts: Pranav’s data grounded the debate, Aggarwal’s caution about creativity, Ramanan’s grand vision of AI as a national paradigm shift, Pankaj’s redefinition of the teacher’s role, Patil’s stark adoption‑speed analogy, Aditi’s concrete local‑AI solution, and Suresh’s call for a creation‑focused, integrated ecosystem. Each insight redirected the conversation, introduced new dimensions (ethical, infrastructural, pedagogical, geopolitical), and prompted other participants to expand on or respond to these ideas, collectively shaping a nuanced consensus that AI should be a supervised, creative‑enhancing tool embedded within a reimagined, inclusive educational framework.

Follow-up Questions
How does AI differ from the earlier IT transformation in terms of challenges for higher education institutions?
Understanding the unique implications of AI compared to the past IT wave is essential for designing appropriate institutional strategies.
Speaker: Speaker 1 (to Prof. KK Agarwal)
How should educational institutions assess and address the rapid changes brought by AI and other emerging technologies?
A systematic assessment framework is needed to guide policy and practice in the face of AI-driven disruption.
Speaker: Speaker 1 (to Speaker 2)
How can the wide diversity of Indian institutions ensure a uniform and effective response to AI challenges despite disparities in resources, infrastructure, and expertise?
Equitable AI adoption requires strategies that work across varied contexts, from elite universities to remote schools.
Speaker: Speaker 1 (to Prof. Pankaj Arora)
What are the two (or three) key features or changes that should define the future of higher education in India?
Clarifying the vision for higher education will shape reforms, curricula, and governance for the AI era.
Speaker: Speaker 1 (to Prof. KK Agarwal, also addressed to other panelists)
What are the two (or three) essential characteristics that a future teacher‑education institution should embody?
Identifying core attributes will help redesign teacher‑training to align with AI‑augmented pedagogy.
Speaker: Speaker 1 (to Prof. Pankaj Arora)
How should the Ministry envision and drive transformation of future universities and higher‑education institutions in the age of AI?
Policy direction from the ministry is critical for scaling AI integration across the higher‑education ecosystem.
Speaker: Speaker 1 (to Patil Sir)
What is the prevalence of AI hallucinations among students, and what mitigation strategies can reduce their impact on learning?
Hallucinations compromise information accuracy; research is needed to quantify and address them.
Speaker: Pranav Kothari
Why is the accuracy of current AI tools lower for logical and numerical subjects, and how can performance be improved?
Students rely on AI for problem solving; enhancing accuracy in these domains is vital for trustworthy support.
Speaker: Pranav Kothari
How do AI platforms compare with traditional resources such as YouTube or ICT‑based learning in terms of learning effectiveness?
Understanding comparative efficacy will inform decisions about resource allocation and pedagogical design.
Speaker: Pranav Kothari
To what extent can free generative‑AI models provide adaptive, personalized learning compared with specialized AI tools?
Assessing personalization capabilities will guide investment in appropriate AI solutions for diverse learners.
Speaker: Pranav Kothari
What are students’ preferences for human‑teacher interaction versus AI tutors, and how does this affect learning outcomes?
Balancing AI assistance with human mentorship is crucial for effective pedagogy.
Speaker: Pranav Kothari
How can AI be leveraged to break language barriers in education, e.g., real‑time translation of regional languages?
Language accessibility is a major equity issue; AI‑driven translation could democratize content delivery.
Speaker: Speaker 2 (Patil Sir) and Aditi Nanda
What is the effectiveness of AI‑driven tools for detecting school‑student dropouts and supporting re‑engagement?
Early identification of at‑risk students can improve retention; empirical evidence is needed.
Speaker: Patil Sir
How can AI be deployed to support rural and tribal education where infrastructure and connectivity are limited?
Ensuring AI benefits reach underserved areas requires research on low‑resource implementations.
Speaker: Patil Sir and Aditi Nanda
What ethical guidelines and safeguards are needed to prevent bias, misuse, and over‑reliance on AI in education?
Ethical frameworks are essential to protect learners and maintain trust in AI systems.
Speaker: Multiple panelists (Patil Sir, Pankaj Arora, Prof. KK Agarwal)
What impact does introducing an AI curriculum at early grades (e.g., third grade) have on students’ understanding, attitudes, and future skill development?
Early exposure may shape AI literacy; systematic study is required to gauge outcomes.
Speaker: Patil Sir
Can offline, device‑based AI solutions (e.g., AI PC) effectively deliver educational content in low‑connectivity settings, and how do they compare with cloud‑based models?
Local AI processing could reduce hallucinations and connectivity barriers; evaluation is needed.
Speaker: Aditi Nanda
How can AI be used to supplement creativity rather than become a shortcut that diminishes critical thinking?
Ensuring AI enhances, not replaces, creative cognition is vital for long‑term educational quality.
Speaker: Prof. KK Agarwal
What is the projected contribution of AI to India’s economic growth by 2050/2100, and what institutional changes are required to realize this potential?
Linking AI adoption to macro‑economic outcomes informs national‑level policy and investment.
Speaker: Speaker 2 (Suresh Yadav)
How can AI be integrated into assessment and evaluation processes for teacher‑education and student learning, and what are the challenges?
AI‑based assessment could increase efficiency, but reliability and fairness need investigation.
Speaker: Prof. Pankaj Arora
What role should AI play in curriculum development, and how can appropriate human supervision be ensured?
Curriculum design must balance AI automation with expert oversight to maintain relevance and quality.
Speaker: Prof. Pankaj Arora
How can AI‑driven skill development programs be aligned with future job market demands to reduce skill obsolescence?
Mapping AI‑enhanced competencies to emerging occupations is necessary to future‑proof the workforce.
Speaker: Multiple panelists (Prof. KK Agarwal, Suresh Yadav, Patil Sir)

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