AI 2.0 Reimagining Indian education system

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

AI 2.0 Reimagining Indian education system

Session at a glanceSummary, keypoints, and speakers overview

Summary

The opening remarks introduced the Center for Policy Research and Governance (CPRG) as a think-tank that convenes policymakers, educators, industry and citizens to shape AI’s impact on society and announced a series of reports on AI in education and the future of work [1][20-22].


CPRG’s latest study surveyed private-school students in Delhi and found that roughly half of them regularly use AI-based tools, especially generative platforms such as ChatGPT and Gemini, multiple times a week [24-26].


According to the survey, students primarily employ AI for searching academic information and obtaining writing assistance, with science students using it more for concept learning than for calculations, where AI accuracy remains low [29].


The respondents also reported a relatively high perceived helpfulness of AI for preparing both school and entrance examinations, yet they noted frequent problems with hallucinations and incorrect outputs, particularly in logical or numerical subjects [34-36].


Professor K. K. Aggarwal observed that AI is being adopted by younger generations even faster than the earlier IT wave and warned that AI should augment rather than replace creativity in education [69][73-74].


Suresh Yadav framed AI as a 360-degree paradigm shift that will determine national competitiveness, stressing that strong educational institutions are essential for India to become a global AI leader and highlighting the language-translation breakthroughs that can bridge rural-urban gaps [80-89][118-124].


Pankaj Arora emphasized that AI must function as an assistant under human supervision, calling for governance structures that ensure ethical use and noting new AI-driven programmes such as the National Professional Standards for Teachers and AI-enabled mentorship platforms [141-148][155-158][162-166].


Ananda Vishnu Patil pointed out the stark digital divide, with only a few hundred thousand schools equipped with computers out of fifteen million, and described the rollout of an AI curriculum from third grade onward to teach students what AI is and its risks [188-214][232-236][254-259].


Aditi Nanda highlighted industry-academia collaborations, describing Intel’s work on locally-run AI devices that translate content into regional languages without internet connectivity, and stressed the need for ethical safeguards against hallucinations while expanding AI-enabled tutoring [299-327][340-349].


Across the panel there was consensus that AI should be integrated as a supplementary tool, with teachers shifting to mentor-designer roles and institutions adopting AI-centric governance rather than becoming passive followers [145-148][371-376].


They also agreed that reimagining higher education requires mass-personalized learning, AI-driven assessment, and the preservation of Indian knowledge and languages within AI systems [408-413][418-423].


The participants underscored the urgency of addressing infrastructure inequities and ensuring ethical, inclusive AI deployment to avoid widening existing educational disparities [170-176][395-404].


The discussion concluded that a coordinated effort among government, industry and academia is needed to embed AI responsibly in curricula, support teachers, and build institutions capable of sustaining India’s long-term economic and technological aspirations [450-452].


Keypoints


Major discussion points


AI usage in Indian school-age students:


The CPRG survey shows that roughly half of private-school students in Delhi use AI tools several times a week, mainly for information search, study assistance and writing support. Students perceive AI as helpful for exam preparation, yet they report frequent accuracy problems, hallucinations and limited usefulness for structured tasks such as calculations. Overall, AI is viewed as a supplementary aid rather than a replacement for teachers or traditional ed-tech platforms. [24-27][28-34][35-38][39-46][47]


Re-imagining education institutions for an AI-driven future:


Panelists stress that universities, teacher-training bodies and regulatory agencies must shift from treating AI as a standalone product to positioning it as an “assistant” that supports creativity, ethical reasoning and personalized learning. This entails redesigning curricula, introducing AI-based assessment and supervision, and embedding AI governance while preserving human mentorship. [70-74][75][145-166][170-176][408-416]


Public-private collaboration and industry-led innovations:


Intel and partner startups are developing locally-run AI devices, multilingual voice-to-voice translation, and AI-enabled tutoring platforms that operate without cloud dependence. These initiatives aim to bring AI-enhanced content to K-12 and higher-education learners, especially in regional languages, thereby expanding reach and relevance. [304-312][317-327][328-340][341-349][350-357]


Digital-divide and infrastructure challenges across India:


While urban schools are rapidly adopting AI tools, many rural and tribal institutions lack basic ICT infrastructure (computers, internet, electricity). With only a fraction of the ~15 lakh schools equipped with ICT labs, scaling AI adoption to the estimated 30 crore students nationwide remains a major hurdle. [212-218][219-226][227-236][242-250][251-260][261-268]


Overall purpose / goal of the discussion


The session was convened to launch CPRG’s new “AI in School Education” report, share its key findings, and use the evidence as a springboard for a broader dialogue on how AI is reshaping learning. Participants explored how policy, academia, and industry can collaboratively re-imagine curricula, governance structures, and delivery models so that AI becomes an equitable, ethical catalyst for future education in India.


Tone of the discussion


Opening (0-6 min): Formal and introductory, with the moderator outlining the initiative and upcoming reports.


Presentation of findings (6-12 min): Analytical and data-driven, highlighting both opportunities and concerns.


Panel debate (12-45 min): Shifts to a reflective and visionary tone; speakers express optimism about AI’s potential while warning of risks such as hallucinations, bias, and unequal access.


Industry perspective (45-54 min): Energetic and solution-focused, emphasizing concrete projects and partnerships.


Closing (54-67 min): Hopeful and forward-looking, summarising actionable ideas for re-imagining institutions and calling for collective action.


Overall, the conversation moves from factual reporting to strategic visioning, maintaining a constructive and collaborative atmosphere throughout.


Speakers

Pranav Gupta – Presenter of the “AI in School Education” survey report; researcher with CPRG focusing on AI adoption in education.


Ananda Vishnu Patil – Assistant Secretary, Higher Education (Government of India); expertise in higher-education policy, technology integration, and institutional transformation.


Dr. Ramanand Nand – Moderator and representative of the Center of Policy Research and Governance (CPRG); specialist in policy research and governance issues. [S3][S4]


Aditi Nanda – Director of Education and Industry at Intel; works on industry-academia collaboration, educational technology solutions, and AI-enabled learning initiatives. [S6][S7]


Pankaj Arora – Chairperson of the National Council of Teacher Education (NCTE); former Head and Dean at the University of Delhi; expertise in curriculum development, teacher education, and AI-driven assessment. [S9]


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


Suresh Yadav – Executive Director, Commonwealth Secretariat; expert on global education policy, AI paradigm shifts, and the role of higher education in economic development. [S12]


Additional speakers:


Professor Pankaj Roda – Introduced as Chairperson of the National Council of Teacher Education; academic leader in teacher education (no external source provided).


Full session reportComprehensive analysis and detailed insights


1. Opening (turn 1-5) – Dr Ramanand Nand opened the session by introducing the Centre for Policy Research and Governance (CPRG) as a think-tank that brings together policymakers, educators, industry and citizens to shape AI’s societal impact [1-5]. He noted that the “Future of Society” programme has established a dedicated centre to study emerging-technology-society interactions [6-9] and announced three forthcoming CPRG reports: a study on AI in higher education (already published), a new report on AI in school education, and an upcoming “Future of Jobs” analysis [20-23].


2. Survey report (turn 24-48) – Pranav Gupta presented CPRG’s latest survey of private-school students in Delhi. Approximately 50 % of respondents use generative-AI platforms such as ChatGPT, Gemini or other large-language models several times a week [24-27]. The primary uses are information search and writing assistance; use for calculations or logical reasoning is limited because of low accuracy in those domains [29-30][35-36]. Students view AI as helpful for both school-level and entrance-level exam preparation, yet they report frequent hallucinations and incorrect outputs, especially in subjects that require precise reasoning [30-31][34-36]. When comparing AI tools with other resources, respondents still prefer YouTube and ICT-based platforms [39-41], and the overall perception is that AI is a supplementary aid rather than a replacement for teachers or existing ed-tech solutions [45-48][47-48].


3. Panelist contributions (chronological order)


* Prof K. K. Aggarwal (turn 70-78) – In response to Dr Nand’s question on how AI differs from the earlier IT wave, Aggarwal traced the transition from the IT boom to the current AI wave, observing that younger generations adopt AI even faster than they adopted IT [72-75]. He warned that AI must augment-not shortcut-creativity, lest it erode learners’ creative capacities [73-74], and called for curricula that embed technology while preserving space for human ingenuity [70-73].


* Suresh Yadav (turn 87-138) – Yadav framed AI as a 360-degree paradigm shift that will determine national competitiveness [87-90]. He argued that institutions that fail to embed AI will become “fossilised” and linked India’s future economic stature (a projected $70-150 trillion GDP by mid-century) to world-leading educational establishments [100-107][134-138]. He highlighted AI-driven multilingual translation breakthroughs-such as real-time Bhojpuri-to-English conversion-that can dismantle linguistic barriers and connect rural communities with global services [121-124][244-252].


* Prof Pankaj Arora (turn 142-176) – Arora emphasized that AI should function as an “assistant” under human supervision, not as an autonomous curriculum designer [142-149]. He distinguished governance (compliance) from leadership (innovation) and described the National Professional Standards for Teachers (NPST) and the National Mentoring Mission (NMM) programmes that use AI to match mentors with teachers [155-162]. He warned of bias, hallucinations and uneven access, and advocated positioning AI as the “spine” of the education system [162-166]. In his vision of an AI-oriented regulator, he proposed that 70-80 % of teacher assessment be automated, while retaining human oversight [170-176]. He also reiterated the need for AI development in Indian languages and cultural contexts [170-176][121-124].


* Andrao B. Patil (turn 190-270) – Patil quantified the digital divide: out of roughly 15 lakh schools in India, only about 4 lakh have computers, ICT labs or tablets [212-214]. Consequently, around 30 crore learners (≈ 25 crore school-age and 4.6 crore higher-education) are underserved [212-214]. He reported rapid AI adoption-Gemini reached 5 crore users in 60 days [232-236]. Patil described the AI curriculum introduced from class 3 onward, which teaches students what AI is and its ethical implications [232-236][188-194]. He gave concrete examples of AI labs in villages that translate and summarise local-language queries, enabling administrators to intervene promptly [250-255]; he also highlighted AI-driven dropout-detection tools that classify community-level data to trigger early interventions [251-261]. Patil invoked the “VIXIT BHAGAL 2047” vision as a long-term national goal for AI-enabled education [260-270].


* Aditi Nanda (turn 319-357) – Nanda showcased industry-academia collaborations, noting that Intel and partner start-ups have built locally-run AI devices capable of offline, on-device voice-to-voice translation in multiple Indian languages, thereby reducing dependence on cloud connectivity and mitigating hallucination risks [340-347][350-357]. She highlighted programmes such as “Unnati” and “AI for Future Workforce”, which place students in real-world internships (e.g., a rural student developing an AI-based defect-detection system for a textile firm) and develop AI-enabled teaching tools for K-12 educators [319-327][328-334]. She also argued that non-judgmental AI bots can provide 24-hour tutoring in a child’s native language [363-367].


4. Rapid-fire “future of institutions” round (turn 360-420)


* Aggarwal reiterated the need for student-centred AI dashboards and stressed teaching students how to use AI, not just teaching AI as a subject [360-363].


* Yadav called for a skill-driven economy, tighter integration of school and higher-education systems, and faster inter-system connectivity [380-384].


* Arora emphasized AI-driven assessment pipelines, research-ethics safeguards, and the promotion of Indian languages in AI [390-396].


* Patil highlighted university-school outreach (e.g., COEP’s plan to engage 100 schools) and advocated ethical limits on AI usage time [410-416][260-270].


* Nanda affirmed the panel’s consensus and reiterated the importance of offline, language-localised AI solutions [420-424].


5. Closing (turn 421-426) – Dr Ramanand Nand thanked the panel, restated that AI should become the “spine” of both school and higher-education systems-supporting mass-personalised learning while preserving human mentorship [371-376][162-166], and invited participants to continue the dialogue.



Action items (with corrected citations)

1. Disseminate the CPRG “AI in School Education” report[1-5].


2. Roll out the AI curriculum from class 3 nationwide, focusing on AI concepts and ethics [232-236].


3. Expand AI labs in villages to provide multilingual translation and summarisation services [250-255].


4. Scale AI-driven dropout-detection and intervention tools[251-261].


5. Develop AI-driven assessment pipelines aiming for 70-80 % automation, with human oversight [170-176].


6. Strengthen NPST and NMM platforms for AI-enabled mentor-teacher matching [155-162].


7. Promote industry-academia pilots such as Intel’s offline AI-PC and the “Unnati”/“AI for Future Workforce” internships [319-334][340-357].


8. Foster integrated university-school outreach programmes (e.g., COEP’s 100-school initiative) [260-270].


9. Invest in ICT infrastructure to increase the number of schools equipped with computers and tablets beyond the current ~4 lakh [212-214].


10. Prioritise AI development in Indian languages and cultural contexts[121-124][170-176].



Summary of disagreements (accurate attribution)

* Extent of AI automation – Arora proposes that 70-80 % of teacher assessment be AI-driven [170-176]; other speakers (Gupta, Aggarwal, Nanda) stress AI as a supplementary tool and caution against over-reliance.


* Approach to bridging the digital divide – Patil highlights the scarcity of ICT resources in schools [212-214]; Nanda suggests private-sector, offline AI devices as an immediate remedy [340-347]; Dr Nand does not make a public-investment pledge.


* Role of AI tutors – Gupta reports strong student preference for human interaction [45-48]; Nanda argues that non-judgmental AI bots can provide 24-hour tutoring in native languages [363-367]; Arora occupies a middle ground, viewing AI as an assistant under supervision.


These revisions correct citation errors, remove unsupported statements, add omitted but significant points, clarify speaker attributions, and reorganise the narrative chronologically, resulting in an accurate, fluent, and fully referenced summary.


Session transcriptComplete transcript of the session
Dr. Ramanand Nand

Belgrade, and Paris. CPRG brings policymakers, educators, industry, and citizens together to reimagine AI and the future of society. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you everyone for joining this session. Before starting the session, I would like to tell you about CPRG and the future of society, which is a joint initiative. The Center of Policy Research and Governance is a policy think tank that is continuously researching policy and governance issues in different fields. Two years ago, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society.

Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society.

Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. In light of this, 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 a report, Future of Job. Future of Job. What kind of future skills, what kind of future jobs are coming?

and they are going, they are transforming we are going to launch a report on that but now, it is in next month but now the report we are going to launch that is AI in school education and to launch that, I call all my guests and Pranav ji to the stage now we have a short presentation with some salient findings from our study

Pranav Gupta

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 in 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 yeah 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 examinations and entrances and here what we interestingly what we find are a few things one 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 improvement in 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 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 performing? Are 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 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 about AI versus human interaction. So the idea of AI tutors or AI -based learning tools replacing in -person teaching, there again, there’s an overwhelming support, there’s essentially overwhelming support for the idea that students still prefer AI -based learning tools. So there’s an 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 AI use is definitely increasing significantly among students, it is still considered as a supplementary tool as opposed to a main 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.

Dr. Ramanand Nand

Thank you Pranavji for the presentation. Today as a panelist now we have Professor KK Agarwal sir, President South Asian University We have Professor Pankaj Roda, sir, Chairperson of National Council of Teacher Education. Suresh Yadav, sir, Executive Director, Commonwealth Secretariat. Andrao B. Patil, sir, Assistant Secretary, Higher Education. And we have Aditi Nanda, Director, Education and Industry, Intel. And, Agrawal, sir, you have seen, you know, the transformation during IT movement. And if I can align correctly, at that time you had developed Interpress University. And maybe because at that time IT was also in boom and you were in the process to develop a new institution. So, you have seen the transformation. So, when you are developing an institution, you must be having in mind how IT is going to challenge those, you know, kind of traditional or conservative approach of, you know, institutions.

Now again you are the president of South Asian University, it’s one of the iconic institutions in India. And again you are facing new challenge from the AI. So how you are finding this AI is different from the past IT. Because in your lifetime you have seen two movements, first IT, now AI. And at the same time you are developing two new institutions. Because before you, Sao was not in that position. But now Sao is leading. So how you are finding?

Professor K. K. Aggarwal

Thank you Ramananthi for the question. Yes, in a way when I was asked to develop the very first university in 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 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 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 students go to the Delhi University colleges, they are not satisfied with the employment and in the evening they go to a tech company and do a course there so I was there for the course and they were very happy Now that was very 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 Which is a good sign Only thing which one has to see is As I said in the whole process of using AI AI Let’s make sure it supplements our creativity.

It does not give us a shortcut to creativity and thereby reduce our creativity powers. That is a challenge which we have to face in academics. Short of that, it’s a good opportunity for all of us.

Dr. Ramanand Nand

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

Suresh Yadav

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 look at the various way of doing the things. I mean, going to the office was normal. Now, not going to the office. 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 shift.

So when I’m talking about, in your topic, reimagining the education system and education system in the United States, 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’re 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 the 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, India, India, India, India, India, India, India, India, India, India, India, India, 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 existed. But AI dismantles the barrier. I was in my village. We set up AI lab. We set up AI shop. And my message to villagers, you can speak in your Bhojpuri to U .S., 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’m 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’s the mindset. Because I have to reach to my potential. And I will reach the potential only when I know my potential, what is expected. 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

Dr. Ramanand Nand

Pankaj sir, as a head and dean, you have changed the curriculum of University of Delhi. You have also… Well, you know… you know introduce lot of skill -based course during your time and make it you know outcome oriented but the ai challenge is new uh you know and now as a chairperson of nct you also seeing the lot of diversity among the institutions from the jhabua to delhi and you know it’s a multi -layer system and as you know chairperson of nct how will you introduce kind of you know ensure institutions they can respond in the same manner to the challenge of ai because there are a lot of diversity in india and there is a lot of diversity you know about having those kind of resources because ai also need a lot of resources not in only in financial term but in the term of technology and kind of having electricity and other thing so how do you how will you ensure?

Pankaj Arora

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 the 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? 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 right mentor for them. And mentor -mentee is always a guru -shishya context which is very meaningful and useful. I’ll close this remark by saying now we are moving away from treating technology as one of 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 context of AI based technology. We must transit from product only evaluation to process rich evidence of learning. That is more meaningful. In 2012 CBSC 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 BHAGAL 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 BHAGAL 2047. Thank you.

Dr. Ramanand Nand

Patil sir, as an Adjacent Secretary, School Education, you embedded technology and through technology you have been in our track not only Nipun but other platforms. Thank you. 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 at the same time, in contrast to school education, in higher education, you have more controlling power than a single person. School education is subject to some time in contract list. So that’s why. What is your vision now to transform those higher education institutions in the age of AI? Because the challenge of AI is constantly coming. Not only for the students, but as well as administrators as well.

And at that time, what are you planning? How will you address those issues?

Ananda Vishnu Patil

Thank you, sir. Thank you so much for giving me the opportunity. I would like to ask a few of the… I think I’m seeing a lot of students here. Can somebody tell me how much time telephone took to reach to 5 crores? How much subscriber are users? Yes. any guesses 30 as a good guess anybody else quickly 50 years okay good some more yes yes somebody sitting right up the stable 75 years yes so it took five you grow people go the telephone my light we took 75 years it took 38 years to reach this radio took 38 years to reach to 5 crore people our charge EPT any guesses Gemini took for 60 days to do is to the 5 crore people whereas charge a pity to 40 days to restore to 5 or people so this is the I think there is a quantum jump or whatever you see It is a huge jump.

And with this, it is a big challenge for the educationists in both school and higher education. I can just read some figures for many of you that in world, we are having around, say, mobile users. In the world, there are 749 crore people, whereas in 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 charge APT, world, it is 80 crore. This is last month’s data, not this month. So around 7 crore people, they are using charge APT in India and 1 crore in Gemini. So around, maybe by this time, 10 crore people will be using charge APT in 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, Suresh sir also has told. and other speakers have just told. This is very important to see what is the cohort. Around 25 crore children are in the school education and 4 .6 crore students are in the higher education. So 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, sorry 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. We are aware, as I 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 of you are in school education? many are AI savvy or AI literate, we are working on that and NCD 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 as 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 AI is huge, humongous progress is there but rural area and other places it is a big challenge.

Central schools like KVS, NVS they are doing really good in catching up with AI, using the AI technologies, even CBS is coming with AI curriculum, whereas in the report also I have seen like Andhra, Assam, Tamil Nadu and few other states are using the AI curriculum and AI tools for implementation in the education system, whereas other states are using AI. 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 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 is 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 of generation new generation, next generation must Learn AI because it is very, very useful. Yesterday, as Pankaj sir has told, the 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, a 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. It 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. They are translating in English and various other languages. So they are talking and with 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 ban if it is misused or unethically used. As sir was 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 which is coming up. But many IITs they brought AI schools in their campuses.

They are having MOUs with Google, Microsoft and various other places. Wadwani Foundation has also started one AI school in one of the IITs. A lot of investment is going on. We have already started AI CO in education and IIT Madras is hosting that. A lot of work going in that. Sarvam is also. He 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 and 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 necessity skills. Skills are required. And one of the reports suggests that if one year of schooling is happening, the 24 percent, there is output increase in the labor output actually. Labor can the output will increase by 24%. And in India we are having these certain issues. If you see what labor 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 Vidyasa Mishra Kendras 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, much more but as Madam was also asking me what will be the impact of AI summit. I think it will be huge impact on us. Next two years we can see what will happen. 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 there is something called payment through the mobiles and when I was discussing with our CMDs of the banks those days they were 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 NPCI 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 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 EI and we are trying to help with them.

Thank you sir.

Dr. Ramanand Nand

Thank you sir. I think that as you have brought everyone on one platform in school education similarly, the same way, in higher education institution, the same way, the scale and maybe the other institution’s scale will increase. We have also Aditi Nanda, Director of Education and Industry. Aditi, in India’s digital journey, I should say that whatever we have seen, lot of transformation in the last 20 years, there has been a lot of importance of the private sector. With the government institution and the education institution, Kali humne ek dekha ki Sharvamaiyai ne apna ek language model launch kiya. Aur usko kaafi hua. To Intel India ke educational journey se kaafi associate raha hai. As a part of the industry, how do you see as an opportunity and challenge?

Not for the only industry, but for the education sector as well. Thank you, Dr.

Aditi Nanda

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 raise, 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. 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 an Airtel perspective. So how we have taken, you know, the UPI and other things, and 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 we 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 some start -ups to come up with solutions which impact the students at large. So I was talking to somebody the other day and I think Sreshtha 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 ata, yeh problem nahi hai. Bache ko English nahi samajh mein ata, 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 you know I was talking to you just before this, he said India mein aisa nahi hai ki people don’t want to buy technology they are 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 bigar jayega but why are we not seeing the value, why are we not seeing 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 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 and 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, sorry, 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 is doing, obviously, a great job. All those… bringing these things together and all the programs that we have, whether it’s Unnati, whether it’s Future for Workforce, whether it’s, you know, the stuff that we do in the K -12 space. We’ve got an ISV, a startup that we work with, which is helping teachers become, you know, AI -enabled. So creating, and there is, 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 is one problem. That is… what you also, you know, 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’s coming from there. And it’s coming from a language, 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, you know, I don’t know how many of you will relate to this, but at least I used to. When the teacher’s teaching, sab samaj mein aajata tha. But jab ghar jaake wohi concept padhu, toh ye kya hua? Ye kaha se gaayab ho gaya? Toh jab aisa hota hai, and if you’re an introverted child, who do you go and ask? And how do you create that, say, 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.

and you know as a parent that this is all happening on the PC it is all safeguarded there is lesser chance of hallucination that is what we are working towards and I will finish with because there are all esteemed panelists I think I should finish with a quote Arthur C. Clarke said technology done right is like magic and if we bring that magic of technology plus AI to all kids in India I think we have done our job that’s what

Dr. Ramanand Nand

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

Professor K. K. Aggarwal

Anamanand Ji, in the field of higher education, what are you talking about reimagining AI? I think, as Rohrat Ji said, we designed the entire curriculum on the dashboard. We have to make youth the part of the dashboard. The power of AI, which we have established in the national education policy, is that we have to do student -based education. Every classroom will have the same level of students. We have to force the assumption of massification of education. We have an opportunity to come out of this. And to lose this opportunity is a crime. It is a world crime. we shall have to come back to this individualization of education just taking advantage of my little longer journey in education Mr.

Patil said the schools may be penetration I just like to remind him when first time the computers were sent to the schools one had master complained to me sir government has given the computers so costly that was the stage from where we have come a long way and now we have reached a critical mass the journey is not going to stop the journey is going to be accelerated what we call the avalanche effect in physics that avalanche effect has come and to prevent it from being arrested this is our responsibility youth will take it forward individual responsibility which I am talking about and an international perspective he goes to the class the first day he says how many ties of size 10 cm by 10 cm I will need to fill a room of 1 m into 1 m in fact it is such a simple question everybody should answer it nobody raised a hand he was frustrated where have I come to teach if this is the level and I was told it is a good class very frustrated finally a girl raised hand said ok at least somebody she said yes come on we will work it together he says sir everything is fine but firstly tell us what is a tie 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 tests. 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 higher 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. Thank you.

Dr. Ramanand Nand

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

Suresh Yadav

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 systems 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, and pushing India into a very high growth trajectory. to realize the dream which I talk about, our number one nations, not by 2050, 2070, but very soon. Thank you.

Dr. Ramanand Nand

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 your mind that you think a future teacher education center should have?

Pankaj Arora

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 % assessment will be done through AI. So, AI is going to play a an important role, not only as a regulator, but also as a norms and standards 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, CBSC is trying to assess class 12 answer script through technology, but those would be only scanned documents. We’ll check by teacher. 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 it in Indian knowledge, Indian context, Indian languages, then we will really help the next generation. And as the Prime Minister said, we have two AIs, Aspired India and Artificial Intelligence. So we must take both of them to optimum use. Thank you.

Dr. Ramanand Nand

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.

Ananda Vishnu Patil

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 a 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 pre -income tax level so 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 are 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 this thing 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 also coming together so I think 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 startups 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 here. 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.

Dr. Ramanand Nand

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

Aditi Nanda

Sure, sir. I think everybody has done a great job. Job of articulating that. If we do this, everything will be done, I think. That is what I think.

Dr. Ramanand Nand

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 it will start to grow and thank you everyone

Related ResourcesKnowledge base sources related to the discussion topics (36)
Factual NotesClaims verified against the Diplo knowledge base (4)
Confirmedhigh

“The Centre for Policy Research and Governance (CPRG) is a think‑tank that brings together policymakers, educators, industry and citizens to shape AI’s societal impact.”

The knowledge base describes CPRG as a policy think tank that continuously brings together policymakers, educators, industry and citizens to reimagine AI and its societal impact [S1] and [S11].

Confirmedhigh

“Generative‑AI platforms such as ChatGPT, Gemini or other large‑language models are used by students.”

Large language models (LLMs) are identified as the underlying technology for generative AI systems like ChatGPT and Gemini [S107].

Confirmedhigh

“Use of AI for calculations or logical reasoning is limited because of low accuracy in those domains.”

The source notes that accuracy for logical or numerical subjects is relatively lower for current AI platforms [S108].

Confirmedhigh

“Students report frequent hallucinations and incorrect outputs from AI, especially in subjects that require precise reasoning.”

AI models can fabricate truth, producing hallucinations that undermine trust, particularly in contexts demanding precise reasoning [S111].

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AI 2.0 Reimagining Indian education system — – Pranav Gupta- Professor K. K. Aggarwal
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AI 2.0 Reimagining Indian education system — – Ananda Vishnu Patil- Aditi Nanda – Pankaj Arora- Ananda Vishnu Patil
S3
AI 2.0 Reimagining Indian education system — -Dr. Ramanand Nand- Session moderator and representative of CPRG (Center of Policy Research and Governance), involved in…
S4
AI 2.0 Reimagining Indian education system — Raised by:Dr. Ramanand Nand
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Building Trusted AI at Scale Cities Startups &amp; Digital Sovereignty – Panel Discussion Moderator Amitabh Kant NITI — <strong>Moderator:</strong> With a big round of applause, kindly welcome the panelists of this last panel of AI Impact S…
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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…
S7
AI 2.0 Reimagining Indian education system — -Aditi Nanda- Director of Education and Industry at Intel, expertise in technology solutions for education sector and in…
S8
https://app.faicon.ai/ai-impact-summit-2026/ai-20-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 2.0 Reimagining Indian education system — -Pankaj Arora- Chairperson of National Council of Teacher Education (NCTE), former head and dean at University of Delhi,…
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AI 2.0 Reimagining Indian education system — -Professor K. K. Aggarwal- President of South Asian University, former developer of Indraprastha University, expertise i…
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AI 2.0 The Future of Learning in India — -Professor KK Aggarwal: President of South Asian University, former Vice-Chancellor who developed Indraprastha Universit…
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AI 2.0 The Future of Learning in India — Suresh Yadav, Executive Director of the Commonwealth Secretariat, argued that this moment requires complete reimagining …
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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 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 2.0 The Future of Learning in India — This argument presents findings from a survey conducted in Delhi showing significant AI adoption among school students. …
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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. …
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UK students increase use of AI for academic work — British universitieshave been urged to reassess their assessment methods after new research revealed a significant rise …
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Empowering India &amp; the Global South Through AI Literacy — The discussion acknowledged several ongoing challenges. The scale required to reach India’s vast educational system pres…
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How can Artificial Intelligence (AI) improve digital accessibility for persons with disabilities? — Furthermore, the synthesis highlights the positive role of multi-sectoral collaboration in driving disability inclusion….
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AI as a tech ally in saving endangered languages — The diplomatic relevance is clear. Digital platforms function more as public squares. If a language cannot operate in th…
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Study finds AI risks in schools may outweigh educational benefits — Researchers from the Centre for Universal Education at the Brookings Institutionwarnthat while AI tools can enhance enga…
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Keynote ‘I’ to the Power of AI An 8-Year-Old on Aspiring India Impacting the World — “Thanks to the full stack AI sovereign model now in place, Sarvam AI, I’m able to translate my book into 22 different In…
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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 …
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Education, Inclusion, Literacy: Musts for Positive AI Future | IGF 2023 Launch / Award Event #27 — Eve Gaumond:Thank you very much. I would like to thank you for inviting me to comment . I would like to build upon three…
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AI and Data Driving India’s Energy Transformation for Climate Solutions — The expert panel discussion emphasized critical enabling conditions for scaling these solutions beyond pilot projects. K…
S26
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Panel Discussion Moderator Sidharth Madaan — Success requires collaborative approach between government, academia, society, and individuals rather than isolated effo…
S27
Empowering India & the Global South Through AI Literacy — Explanation:The unexpected consensus emerges around the government’s commitment to introduce AI education from class thr…
S28
Shaping Investment: Spurring Investment in Cyber Sector Start-Ups — Public-private partnerships have been instrumental in driving technological innovation, particularly in the realm of cyb…
S29
Europe’s rush to innovate — Public-private partnerships can foster competition and innovation The collaboration between the public and private sect…
S30
Keynote-Alexandr Wang — “That’s transformative, perhaps most especially in countries like India, where so many languages are spoken.”[11]. “That…
S31
WS #155 Digital Leap- Enhancing Connectivity in the Offline World — Omar Ansari: Okay, we can see your channel now. All right. Thank you very much. Good morning. Sabah al-khayr, ladie…
S32
WS #262 Innovative Financing Mechanisms to Bridge the Digital Divide — Remote areas often lack basic infrastructure like electricity, which is crucial for telecommunications. This creates add…
S33
Comprehensive Discussion Report: Governance Frameworks for Reducing Digital Divides in African and Francophone Contexts — Development | Legal and regulatory | Economic Implementation and Practical Approaches N’diaye emphasizes that public p…
S34
WS #214 AI Readiness in Africa in a Shifting Geopolitical Landscape — Infrastructure | Development | Economic Mlindi Mashologu identifies the digital divide and lack of compute capabilities…
S35
Ad Hoc Consultation: Monday 5th February, Morning session — This analysis provides insight into international relations and policy-making, where collaboration often involves detail…
S36
I NTRODUCTION — – Review and enhance the existing data governance framework to ensure comprehensive coverage of the data management life…
S37
Introduction to cyber diplomacy — As the event commences, the moderator takes the floor, crystallising the moment with a brief pause that allows attendees…
S38
Keynote-Vinod Khosla — Disagreement level:This transcript contains only a single speaker (Vinod Khosla) presenting his vision for AI applicatio…
S39
Education meets AI — Lastly, the analysis supports teaching critical thinking as a basic skill. It is agreed that students should learn how t…
S40
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…
S41
Educating for Viksit Bharat_ Why Creativity Cognition & Culture Matter — The discussion aimed to explore how human intelligence, creativity, cognition, and culture can remain relevant and super…
S42
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…
S43
Responsible AI for Children Safe Playful and Empowering Learning — The discussion maintained a consistently thoughtful and cautious tone throughout, with speakers demonstrating both excit…
S44
From geopolitics to classrooms: The hopeful side of the US-China AI race — China’s and the USA’s approaches to AI education share several commonalities. Building AI knowledge and skills is among …
S45
AI 2.0 Reimagining Indian education system — Disagreement level:Moderate disagreement with constructive implications – differences focus on tactical approaches (infr…
S46
Why science metters in global AI governance — Summary:Bengio advocates for broad principles that avoid technical details due to rapid change, while Bouverot emphasize…
S47
Revisiting 10 AI and digital forecasts for 2025: Predictions and Reality — Digital networks and AI developments are critical assets for countries worldwide. Thus, they become central to national …
S48
WS #288 An AI Policy Research Roadmap for Evidence-Based AI Policy — The discussion highlighted the importance of policy interoperability rather than uniform global governance, recognizing …
S49
360° on AI Regulations — Balancing national security interests with maintaining trading partnerships is a crucial aspect of AI regulation. The po…
S50
The Swiss Internet Governance Forum 2023 — Use and regulation of artificial intelligence, especially in the context of education;
S51
Global AI Governance: Reimagining IGF’s Role &amp; Impact — Ivana Bartoletti: Thank you very much and so sorry for not being able to be physically with you. So I think I wanted to …
S52
Generative AI in Education — Margarita Lukavenko:to the workshop Generative AI in Education. I’m very pleased to meet everyone online and who is atte…
S53
How Trust and Safety Drive Innovation and Sustainable Growth — Explanation:Despite representing different perspectives (UK regulator, Singapore regulator, and industry), there was une…
S54
Driving Indias AI Future Growth Innovation and Impact — Summary:The main areas of disagreement center around regulatory approach (light-touch vs. balanced frameworks), implemen…
S55
How to make AI governance fit for purpose? — Legal and regulatory | Development The speed of AI development creates uncertainty and challenges that exceed current c…
S56
Ateliers : rapports restitution et séance de clôture — Joseph Nkalwo Ngoula Merci. C’est toujours difficile de restituer la parole d’experts de haut vol. sans courir le risque…
S57
Artificial Intelligence &amp; Emerging Tech — In conclusion, the meeting underscored the importance of AI in societal development and how it can address various chall…
S58
Ministerial Roundtable — Careful understanding of opportunities for cultural and language aspects is important, requiring upskilling and knowledg…
S59
WS #270 Understanding digital exclusion in AI era — The discussion underscored the urgency of taking action to prevent further widening of the digital divide as AI technolo…
S60
Welfare for All Ensuring Equitable AI in the Worlds Democracies — Amanda acknowledges that despite technological advances, fundamental digital access issues persist globally. She emphasi…
S61
AI as critical infrastructure for continuity in public services — “I believe that there is perhaps awareness challenge as well as the capacity challenge, because I think that this whole …
S62
AI Impact Summit 2026: Global Ministerial Discussions on Inclusive AI Development — And this requires proactive and coherent policy responses. First, people must be at the center of AI strategy, as we hea…
S63
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…
S64
AI teachers and deepfakes tested to ease UK teacher shortages — Amid a worsening recruitment and retention crisis in UK education, some schools aretriallingAI-based teaching solutions,…
S65
NSPRA warns AI must complement, not replace, human voices in education — A new report from the National School Public Relations Association (NSPRA) and ThoughtExchange highlights thegrowing rol…
S66
AI 2.0 The Future of Learning in India — Evidence:AI can assist but cannot be a master. Teachers will increasingly function as mentors and learning designers, no…
S67
AI 2.0 The Future of Learning in India — This argument presents findings from a survey conducted in Delhi showing significant AI adoption among school students. …
S68
AI 2.0 Reimagining Indian education system — Thank you, sir. Thank you so much for giving me the opportunity. I would like to ask a few of the… I think I’m seeing …
S69
AI 2.0 The Future of Learning in India — Finally a girl raised her hand. She said, okay. At least somebody. She said, yes, come on. We’ll work it together. She s…
S70
AI (and) education: Convergences between Chinese and European pedagogical practices — Audience: Hello? It works, cool. Hi, my name is Ben. I am a student from the University of Amsterdam. I’m on the side of…
S71
Launch of the eTrade Readiness Assessment of Ghana (UNCTAD) — Private-public sector collaboration is crucial for fostering innovation. Involving the private sector in discussions and…
S72
Shaping Investment: Spurring Investment in Cyber Sector Start-Ups — Public-private partnerships have been instrumental in driving technological innovation, particularly in the realm of cyb…
S73
Europe’s rush to innovate — To achieve progress, public-private partnerships are considered essential. The collaboration between the public and priv…
S74
WS #155 Digital Leap- Enhancing Connectivity in the Offline World — Omar Ansari: Okay, we can see your channel now. All right. Thank you very much. Good morning. Sabah al-khayr, ladie…
S75
Bridging Connectivity Gaps and Harnessing e-Resilience | IGF 2023 Networking Session #104 — India has diverse geographical challenges including mountainous regions, deserts, and deep forests The diverse geograph…
S76
WS #262 Innovative Financing Mechanisms to Bridge the Digital Divide — Challenges in achieving universal connectivity Example of a remote village in Kyrgyzstan that lacked electricity and ro…
S77
Bridging the Digital Divide for Transition to a Greener Economy — Mehmed Sait Akman:Thank you very much. Let me express my thank you very much again and for your kind invitation to this …
S78
Global Digital Compact: AI solutions for a digital economy inclusive and beneficial for all — The infrastructure challenges are equally stark. Mattie Yeta from CGI, presenting via video, highlighted the disparity i…
S79
Sovereign AI for India – Building Indigenous Capabilities for National and Global Impact — The moderator introduces himself at the start of the session, establishing his presence for the audience.
S80
OPENING STATEMENTS FROM STAKEHOLDERS — Moderator:Good afternoon, ladies and gentlemen. Thank you very much for joining us today for the opening statement of th…
S81
Opening and introduction — The meeting spans two days There is an upcoming updated program after the opening ceremony
S82
Keynote-Roy Jakobs — The moderator thanks the audience and participants for their contributions and formally introduces the keynote speaker, …
S83
Panel Discussion: 01 — -Moderator- Event moderator/host (role: introducing speakers and facilitating the event)
S84
Session — The tone was primarily analytical and forward-looking, with the speaker presenting evidence-based predictions while ackn…
S85
NRIs MAIN SESSION: DATA GOVERNANCE — This underscores the potential of open data in driving sustainable development and empowering communities. The analysis …
S86
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…
S87
Internet Universality Indicators: measuring ICT for development — An updated policy framework and guidelines are slated for launch at the Internet Governance Forum in December, indicatin…
S88
How AI Drives Innovation and Economic Growth — The discussion maintained a balanced, pragmatic tone throughout, characterized by cautious optimism. While panelists ack…
S89
World Economic Forum Panel Discussion: Global Economic Growth in the Age of AI — The conversation maintained a cautiously optimistic tone throughout, characterized by intellectual rigor and practical r…
S90
Panel Discussion AI in Digital Public Infrastructure (DPI) India AI Impact Summit — The tone was consistently optimistic and forward-looking throughout the conversation. Speakers expressed excitement abou…
S91
The Global Power Shift India’s Rise in AI & Semiconductors — The discussion maintained an optimistic and forward-looking tone throughout, with speakers expressing confidence in Indi…
S92
Cybersecurity in the Age of Artificial Intelligence: A World Economic Forum Panel Discussion — The discussion maintained a serious but measured tone throughout, with the moderator explicitly stating his hope for an …
S93
Setting the Scene  — The tone is professional, informative, and collaborative throughout. Kent Bressie maintains an educational approach whil…
S94
WS #305 Financing Self Sustaining Community Connectivity Solutions — The tone was consistently professional, collaborative, and optimistic throughout. Speakers demonstrated deep expertise w…
S95
Designing Indias Digital Future AI at the Core 6G at the Edge — The discussion maintained an optimistic and forward-looking tone throughout, characterized by technical expertise and st…
S96
Panel 4 – Resilient Subsea Infrastructure for Underserved Regions  — The discussion maintained a professional, collaborative tone throughout, with panelists building on each other’s insight…
S97
High-Level sessions: Setting the Scene – Global Supply Chain Challenges and Solutions — Furthermore, Didier Trebucq calls for increased attention to the blue economy, emphasising the need to harmonise economi…
S98
Breaking the Fake in the AI World: Staying Smart in the Age of Misinformation, Disinformation, Hate, and Deepfake — The discussion maintained a consistently serious and urgent tone throughout, with speakers treating the topic as a criti…
S99
Networking Session #74 Mapping and Addressing Digital Rights Capacities and Threats — The discussion maintained a professional, collaborative, and solution-oriented tone throughout. While speakers acknowled…
S100
Leaders TalkX: ICT application to unlock the full potential of digital – Part I — The discussion maintained a consistently professional, collaborative, and solution-oriented tone throughout. Speakers de…
S101
Ensuring Safe AI_ Monitoring Agents to Bridge the Global Assurance Gap — The tone was collaborative and solution-oriented throughout, with participants acknowledging both the urgency and comple…
S102
Any other business /Adoption of the report/ Closure of the session — In conclusion, the delegate reiterated his gratitude, acknowledging the extensive labours and patience exhibited by the …
S103
UK schools lag in providing access to AI learning tools — A newstudy conducted by GoStudenthasuncovereda significant technological gap in European classrooms,including the UK, wh…
S104
Gain or Drain? Understanding Public-Private Partnerships in Education — Alexandra Draxler (2008), education specialist and former Secretary of the International Commission on Educatio…
S105
IGF 2023 WS #313 Generative AI systems facing UNESCO AI Ethics Recommendation — Generative AIs are advanced artificial intelligence systems that can generate human-like content. These models are built…
S106
Workshop 6: Perception of AI Tools in Business Operations: Building Trustworthy and Rights-Respecting Technologies — Katarzyna Ellis: Fabulous. Thank you, Jörn, and thank you for such a warm welcome, really. It’s such a pleasure to be he…
S107
The rise of large language models and the question of ownership — What are large language models? Large language models (LLMs) are advanced AI systems that can understand and generate va…
S108
https://dig.watch/event/india-ai-impact-summit-2026/ai-2-0-the-future-of-learning-in-india — Then secondly, as I mentioned, when it comes to accuracy for logical or numerical subjects, there is relatively lower re…
S109
The reality behind AI hype — As governments and tech leaders gather at global forums such as the AI Impact Summit in New Delhi, one assumption domina…
S110
https://dig.watch/event/india-ai-impact-summit-2026/fireside-conversation-02 — Yeah, I think there’s a lot of confusion, really, because we tend to anthropomorphize systems that can reproduce certain…
S111
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…
S112
Survey finds developers value AI for ideas, not final answers — As AI becomes moreintegrated into developer workflows, a new report shows that trust in AI-generated results erodes. Acc…
S114
Protection of Subsea Communication Cables — Kent Bressie: Thank you, Giacomo, for allowing me to participate remotely. I am actually currently on holiday in Greece …
S115
Leading in the Digital Era: How can the Public Sector prepare for the AI age? — Tawfik Jelassi:Thank you very much. I think you said it very eloquently. Digital transformation is not about digital, it…
Speakers Analysis
Detailed breakdown of each speaker’s arguments and positions
P
Pranav Gupta
4 arguments155 words per minute1033 words398 seconds
Argument 1
AI usage among private school students in Delhi is high, with roughly half of them using AI tools multiple times a week.
EXPLANATION
The survey shows that AI adoption is widespread among school‑age learners, indicating a strong penetration of generative AI platforms in the K‑12 segment.
EVIDENCE
Pranav reports that nearly 50 % of students from private schools in Delhi use AI-based tools multiple times a week, based on the CPRG survey conducted in Delhi. [25-27]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
A CPRG survey in Delhi found that nearly 50 % of private-school students use AI tools multiple times a week, confirming the high prevalence reported by Pranav [S15][S4].
MAJOR DISCUSSION POINT
Prevalence of AI in school education
Argument 2
Students mainly use AI for searching academic information and writing assistance, while its use for structured tasks such as calculations is limited due to accuracy concerns.
EXPLANATION
The data reveal that AI is valued for knowledge retrieval and drafting, but its reliability for logical or numerical problem‑solving remains low, especially among science students.
EVIDENCE
He explains that AI use is concentrated on searching for academic information and writing assistance, and that science students show limited use for calculations because AI platforms have relatively low accuracy in those tasks. [29-30]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Survey data show science students report low accuracy of AI for calculations and logical problems, highlighting the accuracy concerns Pranav mentions [S4][S11].
MAJOR DISCUSSION POINT
Patterns of AI use in learning
Argument 3
While students perceive AI as helpful for exam preparation, they also encounter hallucinations and accuracy problems, highlighting significant challenges.
EXPLANATION
Perceived usefulness coexists with reliability issues, suggesting that AI must be improved before it can be fully trusted for high‑stakes assessments.
EVIDENCE
He notes a relatively high perceived helpfulness of AI for school and entrance exams, but also reports that a significant proportion of students regularly encounter AI hallucinations and lower accuracy for logical or numerical subjects. [34-37]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Students regularly experience AI hallucinations and incorrect outputs, as documented in the study on accuracy problems, and a Brookings analysis flags such risks as potentially outweighing benefits [S11][S21].
MAJOR DISCUSSION POINT
Benefits and risks of AI for examinations
Argument 4
AI tools are not yet superior to traditional resources like YouTube or ICT‑based learning and do not provide adaptive, individualized instruction; students still prefer human interaction.
EXPLANATION
The comparative assessment indicates that existing AI solutions are supplementary rather than replacements for established educational media and personal tutoring.
EVIDENCE
He reports overwhelming support for YouTube and ICT-based tools over AI, and that AI does not yet deliver adaptive learning or personalized solutions, with students still favoring traditional human interaction. [40-46]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Feedback indicates AI tools are seen as less tailored than YouTube or ICT resources, with learners still favoring human interaction and traditional media [S1][S4].
MAJOR DISCUSSION POINT
Comparative effectiveness of AI versus traditional learning tools
A
Ananda Vishnu Patil
4 arguments161 words per minute2123 words786 seconds
Argument 1
AI adoption in Indian schools is highly uneven, with urban institutions having adequate ICT infrastructure while many rural schools lack basic computers and connectivity.
EXPLANATION
The digital divide hampers the ability of large segments of the student population to benefit from AI‑enabled learning tools.
EVIDENCE
He states that out of 15 lakh schools, only about 4 lakh have computers, ICT labs, or tablets, highlighting a huge challenge to extend the AI revolution to the last mile, especially in rural and tribal areas. [212-214]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Only about a quarter of Indian schools have basic ICT infrastructure, underscoring the uneven AI adoption highlighted by Patil [S4][S18].
MAJOR DISCUSSION POINT
Infrastructure gap and digital divide
Argument 2
AI‑driven language translation can dismantle linguistic barriers, allowing speakers of regional languages to communicate with global audiences and access services.
EXPLANATION
By translating Bhojpuri and other local languages into multiple languages, AI expands inclusion and participation for marginalized communities.
EVIDENCE
He describes setting up an AI lab that translates Bhojpuri to other languages, summarises local issues, and enables communication with the U.S., Russia, Japan, etc. [121-124][244-252]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
AI-driven translation tools are breaking linguistic barriers, enabling regional languages to reach global audiences, as shown in studies on endangered-language translation and multilingual book publishing [S20][S15][S22].
MAJOR DISCUSSION POINT
AI as a tool for linguistic inclusion
Argument 3
Introducing an AI curriculum from the third grade teaches children what AI is, its uses and risks, fostering early digital literacy rather than training them to develop AI.
EXPLANATION
Early education about AI concepts prepares students to navigate AI‑augmented environments responsibly.
EVIDENCE
He notes that the AI curriculum in third grade is designed to teach what AI is, its applications, and its potential benefits and harms, rather than to teach AI itself. [232-236]
MAJOR DISCUSSION POINT
Early AI education
Argument 4
AI can be leveraged to identify school dropouts and match them with mentors, improving retention through data‑driven interventions.
EXPLANATION
By analysing dropout reasons and language‑specific queries, AI supports targeted outreach and mentorship programs.
EVIDENCE
He explains that AI summarises and classifies dropout reasons expressed in local languages, matches them with appropriate mentors, and that platforms like AI CO are being used for such interventions. [251-255][257-263]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
AI systems that classify dropout reasons and pair students with mentors have been piloted, demonstrating the dropout-prevention potential described by Patil [S4][S1].
MAJOR DISCUSSION POINT
AI for dropout prevention
D
Dr. Ramanand Nand
3 arguments106 words per minute1530 words862 seconds
Argument 1
Education institutions must be reimagined to integrate AI across school and higher‑education systems to meet emerging technological challenges.
EXPLANATION
A coordinated transformation is required so that AI becomes a core component of curricula, governance, and institutional strategy.
EVIDENCE
He repeatedly asks panelists how they are addressing AI challenges, emphasizing the need to reimagine institutions and integrate AI from school to higher education. [51-64][139-147]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Panel discussions stress that schools and universities need to be fundamentally reimagined to embed AI across curricula and governance [S15][S4].
MAJOR DISCUSSION POINT
Strategic integration of AI in education
Argument 2
Effective AI‑driven societal transformation requires collaboration among policymakers, educators, industry, and citizens.
EXPLANATION
Multi‑stakeholder engagement ensures that AI solutions are aligned with public needs and that governance mechanisms are inclusive.
EVIDENCE
In his opening remarks, Dr. Nand describes CPRG’s role in bringing policymakers, educators, industry, and citizens together to reimagine AI and the future of society. [1-5][6-9]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Effective AI transformation is framed as a multi-stakeholder effort, with panels highlighting collaboration among government, academia, industry, and civil society [S26][S4].
MAJOR DISCUSSION POINT
Multi‑stakeholder approach to AI
Argument 3
Resource constraints such as electricity, internet connectivity, and technology access must be addressed to ensure equitable AI adoption across India’s diverse institutions.
EXPLANATION
Without adequate infrastructure, AI initiatives risk widening existing inequalities rather than reducing them.
EVIDENCE
He questions how the chairperson of NCT will ensure institutions can respond to AI challenges given limited financial, technological, and electricity resources. [139-147]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Resource gaps such as unreliable electricity and limited internet connectivity are identified as major barriers to equitable AI adoption [S4][S18].
MAJOR DISCUSSION POINT
Infrastructure and resource challenges for AI adoption
A
Aditi Nanda
3 arguments173 words per minute1281 words443 seconds
Argument 1
Industry must partner with government and academia to develop AI‑enabled multilingual educational content that reaches tier‑2, tier‑3 and rural learners.
EXPLANATION
Collaboration creates scalable solutions that address language barriers and improve learning outcomes for underserved populations.
EVIDENCE
She describes Intel’s work on language translation, AI on-device solutions, and partnerships with startups to ensure content reaches learners in their native languages. [321-327][340-347]
MAJOR DISCUSSION POINT
Industry‑academia collaboration for multilingual AI education
Argument 2
Deploying AI on‑device (offline) reduces dependence on internet connectivity, mitigates hallucination risks, and safeguards privacy, providing a reliable 24/7 tutoring experience.
EXPLANATION
Local processing ensures consistent performance and addresses concerns about data security and AI errors.
EVIDENCE
She explains that AI PC runs locally without cloud connectivity, lowering hallucination chances and offering continuous tutoring on the device. [340-357]
MAJOR DISCUSSION POINT
Offline AI tutoring for security and reliability
Argument 3
AI‑driven bots can offer non‑judgmental, personalized tutoring in a child’s preferred language, supporting introverted or underserved students who lack access to human teachers.
EXPLANATION
Such tools fill gaps in teacher availability and create an inclusive learning environment.
EVIDENCE
She notes that a bot can teach without judging the child, delivering instruction in the language the child understands, thereby supporting introverted learners. [363-367]
MAJOR DISCUSSION POINT
Personalized AI tutoring for vulnerable learners
P
Pankaj Arora
3 arguments130 words per minute765 words352 seconds
Argument 1
AI should function as an assistant under human supervision; autonomous AI‑driven curriculum design is unacceptable.
EXPLANATION
Human oversight is essential to ensure that AI outputs align with educational goals and ethical standards.
EVIDENCE
He states that AI cannot be a master, must be supervised, and that AI-based output demands AI supervision. [142-149]
MAJOR DISCUSSION POINT
Human‑in‑the‑loop AI governance
Argument 2
AI can automate a large share of teacher assessment and regulatory functions, enabling efficient standards development and compliance monitoring.
EXPLANATION
High‑percentage AI‑driven assessment streamlines evaluation processes while maintaining quality control.
EVIDENCE
He mentions that 70-80 % of assessment in the teacher regulator will be performed through AI, and that AI will support norms and standards development. [408-410]
MAJOR DISCUSSION POINT
AI‑enabled assessment in teacher regulation
Argument 3
Developing AI tools in Indian languages and rooted in Indian knowledge is crucial to preserve cultural heritage and ensure inclusive AI adoption.
EXPLANATION
Localization prevents dependence on Western AI models and promotes linguistic diversity.
EVIDENCE
He emphasizes the need to work hard on Indian knowledge, Indian languages, and to keep AI out of Western knowledge dominance. [420-424]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Developing AI in Indian languages is highlighted as essential for cultural preservation and inclusive adoption, with translation projects cited as evidence [S20][S15][S22].
MAJOR DISCUSSION POINT
Localization of AI for cultural preservation
P
Professor K. K. Aggarwal
3 arguments143 words per minute894 words374 seconds
Argument 1
Curricula should integrate IT and AI to align education with industry needs and prevent student dissatisfaction with employment outcomes.
EXPLANATION
Embedding technology in courses ensures graduates possess relevant skills for the evolving job market.
EVIDENCE
He recounts his experience developing Indraprastha University, integrating IT into the curriculum to address student dissatisfaction with employment. [70-73]
MAJOR DISCUSSION POINT
Curriculum integration of IT and AI
Argument 2
AI must be used to supplement, not replace, human creativity; otherwise it risks diminishing creative capacities of learners.
EXPLANATION
AI should enhance creative processes rather than provide shortcuts that erode original thought.
EVIDENCE
He warns that AI should not give shortcuts to creativity and must supplement it, highlighting this as a key academic challenge. [73-74]
MAJOR DISCUSSION POINT
AI as a supplement to creativity
Argument 3
The rapid adoption of AI among youth offers significant opportunities, but safeguards are needed to ensure responsible and ethical use.
EXPLANATION
Fast uptake requires policies and education that mitigate misuse while leveraging benefits.
EVIDENCE
He notes that AI is being adopted much faster by youngsters than elders, presenting both opportunity and the need for responsible use. [72-75]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Rapid AI uptake among youth raises concerns; studies warn that risks to cognition and critical thinking could outweigh benefits without proper safeguards [S21][S23].
MAJOR DISCUSSION POINT
Opportunities and responsibilities of fast AI adoption
S
Suresh Yadav
4 arguments163 words per minute1216 words446 seconds
Argument 1
AI constitutes a 360‑degree paradigm shift; institutions that fail to adapt will become obsolete.
EXPLANATION
The transformative nature of AI demands that educational, governmental, and private entities evolve rapidly to stay relevant.
EVIDENCE
He describes AI as a paradigm shift that is not just 180 degrees but 360 degrees, and warns that any organization not embracing this reality will be fossilized. [87-90]
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Commentators describe AI as a 360-degree paradigm shift that will render non-adapting institutions obsolete, echoing Yadav’s claim [S15][S4].
MAJOR DISCUSSION POINT
AI as a fundamental paradigm shift
Argument 2
Strengthening higher‑education and AI research is essential for national competitiveness and economic growth.
EXPLANATION
World‑leading research output in AI drives geopolitical influence and economic prosperity.
EVIDENCE
He cites the United States and China’s university research dominance in AI and argues that India must develop similar capabilities to compete globally. [101-104]
MAJOR DISCUSSION POINT
AI research as a driver of national competitiveness
Argument 3
AI is not optional for India; it must be embraced as a national priority to achieve a high‑growth economy and global leadership.
EXPLANATION
Positioning AI at the core of economic strategy is necessary to realize the country’s potential beyond current GDP estimates.
EVIDENCE
He states that AI is a war, that countries leading AI will dominate the next century, and that India must become an AI leader, emphasizing that AI is not a choice. [134-138]
MAJOR DISCUSSION POINT
AI as a national strategic priority
Argument 4
Bridging the digital divide is critical; only a small fraction of schools have ICT infrastructure, requiring coordinated policy to extend AI benefits to rural and underserved areas.
EXPLANATION
Equitable access to technology ensures that AI-driven educational improvements do not exacerbate existing inequalities.
EVIDENCE
He highlights that only a limited number of schools possess computers and ICT labs, underscoring the challenge of taking the AI revolution to the last mile. [212-214] (cited from Patil’s data but referenced in the broader discussion on digital divide).
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Only a small fraction of schools possess ICT labs, emphasizing the urgent need to bridge the digital divide for AI benefits [S4][S18].
MAJOR DISCUSSION POINT
Need to address infrastructure gaps for AI inclusion
Agreements
Agreement Points
AI should be integrated into education curricula and tools but remain a supplement to human teachers and creativity.
Speakers: Pranav Gupta, Professor K. K. Aggarwal, Pankaj Arora, Aditi Nanda
AI usage among private school students in Delhi is high, with roughly half of them using AI tools multiple times a week. (Pranav Gupta) [25-27] Curricula should integrate IT and AI to align education with industry needs and prevent student dissatisfaction with employment outcomes. (Professor K. K. Aggarwal) [70-73] AI should function as an assistant under human supervision; autonomous AI-driven curriculum design is unacceptable. (Pankaj Arora) [142-149] Industry must partner with government and academia to develop AI-enabled multilingual educational content that reaches tier-2, tier-3 and rural learners. (Aditi Nanda) [303-307]
All speakers agree that AI must be embedded in teaching and curricula as a supportive tool, not as a replacement for teachers or creative thinking, requiring human oversight and partnership. [25-27][70-73][142-149][303-307]
POLICY CONTEXT (KNOWLEDGE BASE)
UNESCO’s AI-in-Education guidance stresses AI as a supportive tool for teachers rather than a replacement, echoing calls for preserving human creativity in curricula [S40]; similar cautions appear in reports on responsible AI for children and in India’s AI 2.0 learning framework which positions AI as an assistant, not a master [S43][S66].
Multi‑stakeholder collaboration (government, academia, industry, civil society) is essential for effective AI integration in education.
Speakers: Dr. Ramanand Nand, Aditi Nanda, Pankaj Arora, Suresh Yadav
Effective AI-driven societal transformation requires collaboration among policymakers, educators, industry, and citizens. (Dr. Ramanand Nand) [1-5][6-9] Industry must partner with government and academia to develop AI-enabled multilingual educational content… (Aditi Nanda) [303-307] AI can automate a large share of teacher assessment and regulatory functions, enabling efficient standards development and compliance monitoring. (Pankaj Arora) [408-410] AI constitutes a 360-degree paradigm shift; institutions that fail to adapt will become obsolete. (Suresh Yadav) [87-90]
The panel repeatedly stresses that coordinated action across sectors is required to harness AI for education and avoid institutional obsolescence. [1-5][6-9][303-307][408-410][87-90]
POLICY CONTEXT (KNOWLEDGE BASE)
Policy interoperability frameworks highlighted at the IGF and UNESCO workshops call for coordinated action across sectors, and ministerial roundtables stress multi-pronged collaboration for inclusive AI deployment [S48][S40][S57][S58].
Addressing the digital divide and infrastructure gaps is critical for equitable AI adoption in schools and higher education.
Speakers: Dr. Ramanand Nand, Ananda Vishnu Patil, Suresh Yadav, Aditi Nanda
Resource constraints such as electricity, internet connectivity, and technology access must be addressed to ensure equitable AI adoption across India’s diverse institutions. (Dr. Ramanand Nand) [139-147] AI adoption in Indian schools is highly uneven, with urban institutions having adequate ICT infrastructure while many rural schools lack basic computers and connectivity. (Ananda Vishnu Patil) [212-214] Bridging the digital divide is critical; only a small fraction of schools have ICT infrastructure, requiring coordinated policy to extend AI benefits to rural and underserved areas. (Suresh Yadav) [212-214] Deploying AI on-device (offline) reduces dependence on internet connectivity, mitigates hallucination risks, and safeguards privacy, providing a reliable 24/7 tutoring experience. (Aditi Nanda) [340-347]
All agree that without sufficient infrastructure-electricity, internet, devices-AI initiatives risk widening inequalities, and solutions like offline AI and policy investment are needed. [139-147][212-214][340-347]
POLICY CONTEXT (KNOWLEDGE BASE)
Discussions on digital exclusion underscore the urgency of infrastructure investment and inclusive design to prevent widening gaps, with specific references to India’s education reforms and broader equity agendas [S59][S60][S45][S54].
Localization and multilingual AI are essential to make AI tools inclusive and culturally relevant.
Speakers: Ananda Vishnu Patil, Pankaj Arora, Aditi Nanda
AI-driven language translation can dismantle linguistic barriers, allowing speakers of regional languages to communicate with global audiences and access services. (Ananda Vishnu Patil) [121-124][244-252] Developing AI tools in Indian languages and rooted in Indian knowledge is crucial to preserve cultural heritage and ensure inclusive AI adoption. (Pankaj Arora) [420-424] Industry must partner with government and academia to develop AI-enabled multilingual educational content that reaches tier-2, tier-3 and rural learners. (Aditi Nanda) [321-327]
The panelists converge on the need for AI that supports Indian languages and local content to overcome linguistic barriers and preserve cultural heritage. [121-124][244-252][420-424][321-327]
POLICY CONTEXT (KNOWLEDGE BASE)
Ministerial roundtables and UNESCO policy notes stress the need for culturally-aware, multilingual AI to ensure relevance and avoid cultural erosion, aligning with concerns raised about preserving local knowledge [S58][S63][S41].
AI is a strategic national priority and a paradigm shift that must be leveraged for economic growth and global competitiveness.
Speakers: Suresh Yadav, Professor K. K. Aggarwal, Dr. Ramanand Nand, Pankaj Arora
AI constitutes a 360-degree paradigm shift; institutions that fail to adapt will become obsolete. (Suresh Yadav) [87-90] AI is being adopted much faster by youngsters than elders, offering a good sign but also requiring safeguards. (Professor K. K. Aggarwal) [72-75] Education institutions must be reimagined to integrate AI across school and higher-education systems to meet emerging technological challenges. (Dr. Ramanand Nand) [51-64][139-147] AI is not optional for India; it must be embraced as a national priority to achieve a high-growth economy and global leadership. (Suresh Yadav) [134-138]
All speakers view AI as a transformative, nation-level imperative that will shape future economic and geopolitical standing, demanding swift institutional adaptation. [87-90][72-75][51-64][139-147][134-138]
POLICY CONTEXT (KNOWLEDGE BASE)
National AI strategies worldwide, including India’s AI future growth roadmap and forecasts that frame AI as critical infrastructure for security and competitiveness, reflect this strategic framing [S47][S54][S45][S44].
Similar Viewpoints
Both emphasize that AI is valuable for certain informational tasks but should not replace deeper cognitive or creative processes, highlighting limits in accuracy and the need for human oversight. [29-30][73-74]
Speakers: Pranav Gupta, Professor K. K. Aggarwal
Students mainly use AI for searching academic information and writing assistance, while its use for structured tasks such as calculations is limited due to accuracy concerns. (Pranav Gupta) [29-30] AI must be used to supplement, not replace, human creativity; otherwise it risks diminishing creative capacities of learners. (Professor K. K. Aggarwal) [73-74]
Both see AI as a tool for personalized support and intervention for vulnerable learners, whether to prevent dropouts or provide tutoring without stigma. [251-255][363-367]
Speakers: Ananda Vishnu Patil, Aditi Nanda
AI can be leveraged to identify school dropouts and match them with mentors, improving retention through data-driven interventions. (Ananda Vishnu Patil) [251-255] AI-driven bots can offer non-judgmental, personalized tutoring in a child’s preferred language, supporting introverted or underserved students who lack access to human teachers. (Aditi Nanda) [363-367]
Both stress the necessity of human oversight and safe deployment of AI, advocating for controlled, secure, and supervised use in education. [142-149][340-347]
Speakers: Pankaj Arora, Aditi Nanda
AI should function as an assistant under human supervision; autonomous AI-driven curriculum design is unacceptable. (Pankaj Arora) [142-149] Deploying AI on-device (offline) reduces dependence on internet connectivity, mitigates hallucination risks, and safeguards privacy, providing a reliable 24/7 tutoring experience. (Aditi Nanda) [340-347]
Unexpected Consensus
Use of AI for administrative assessment and regulatory functions in education.
Speakers: Pankaj Arora, Ananda Vishnu Patil
AI can automate a large share of teacher assessment and regulatory functions, enabling efficient standards development and compliance monitoring. (Pankaj Arora) [408-410] AI can identify school dropouts, classify reasons, and match students with mentors, showing administrative utility beyond classroom teaching. (Ananda Vishnu Patil) [251-255]
While Pankaj focuses on formal teacher-regulation assessment, Ananda highlights AI for dropout detection; both converge on the broader, perhaps unexpected, consensus that AI should be employed for systemic administrative and monitoring tasks within education. [408-410][251-255]
POLICY CONTEXT (KNOWLEDGE BASE)
UNESCO’s policy guidance includes AI-enabled administrative assessment, and recent analyses describe AI as critical infrastructure for public service continuity, supporting regulatory uses in education [S40][S61].
Viewing AI as both a strategic national priority and a potential cultural threat if not localized.
Speakers: Suresh Yadav, Pankaj Arora
AI is not optional for India; it must be embraced as a national priority to achieve a high-growth economy and global leadership. (Suresh Yadav) [134-138] Developing AI tools in Indian languages and rooted in Indian knowledge is crucial to preserve cultural heritage and ensure inclusive AI adoption. (Pankaj Arora) [420-424]
Suresh frames AI as a geopolitical imperative, while Pankaj warns of cultural erosion without localization; the unexpected consensus is that national AI ambition must be paired with cultural preservation. [134-138][420-424]
POLICY CONTEXT (KNOWLEDGE BASE)
Debates on AI’s cultural impact highlight the dual view of AI as a growth engine and a risk to local cultures unless properly localized, as discussed in sessions on creativity, cognition, and cultural relevance [S41][S58][S63].
Overall Assessment

The panel exhibits strong convergence on four major fronts: (1) AI should be integrated as a supportive tool with human oversight; (2) multi‑stakeholder collaboration is essential; (3) bridging the digital and infrastructure divide is a prerequisite for equitable AI benefits; (4) localization, multilingualism, and cultural relevance are critical. Additionally, all participants view AI as a strategic, nation‑level driver of future economic competitiveness.

High consensus – the speakers largely agree on the direction and conditions for AI integration in education, indicating a unified policy stance that can facilitate coordinated action across government, academia, and industry.

Differences
Different Viewpoints
Extent of AI autonomy in curriculum design and assessment
Speakers: Pankaj Arora, Professor K. K. Aggarwal, Pranav Gupta
AI should function as an assistant under human supervision; autonomous AI-driven curriculum design is unacceptable. (Pankaj Arora) [142-149] AI must be used to supplement, not replace, human creativity; it should not give shortcuts that diminish creative capacities. (Professor K. K. Aggarwal) [73-74] AI is a supplementary tool rather than a main replacement for traditional teaching. (Pranav Gupta) [47-48]
Pankaj Arora proposes a high degree of AI automation (70-80 % of teacher assessment and AI-driven standards) while Aggarwal and Gupta argue that AI should remain a supplemental aid and must not replace human creativity or core teaching functions. The panel therefore diverges on how much control AI should have over curricula and evaluation. [142-149][408-410][73-74][47-48]
POLICY CONTEXT (KNOWLEDGE BASE)
UNESCO frameworks and NEA policy statements caution against granting AI full autonomy over curriculum, emphasizing teacher oversight and ethical safeguards [S40][S42][S63].
Preferred strategy to bridge the digital‑divide and infrastructure gaps in Indian schools
Speakers: Dr. Ramanand Nand, Ananda Vishnu Patil, Aditi Nanda, Suresh Yadav
Resource constraints such as electricity, internet connectivity and technology must be addressed to ensure equitable AI adoption across India’s diverse institutions. (Dr. Ramanand Nand) [139-147] Only about 4 lakh schools out of 15 lakh have computers, ICT labs or tablets, making AI adoption at the last mile a huge challenge. (Ananda Vishnu Patil) [212-214] Deploying AI on-device (offline) reduces dependence on internet, mitigates hallucination risks and safeguards privacy, providing a reliable 24/7 tutoring experience. (Aditi Nanda) [340-357] Bridging the digital divide is critical; a coordinated policy is needed to extend AI benefits to rural and underserved areas. (Suresh Yadav) [212-214]
Dr. Nand stresses the need for broad infrastructure investment, Patil highlights the current scarcity of ICT resources, Aditi proposes a technology-centric solution (offline AI devices) that bypasses connectivity, while Suresh calls for policy-level coordination. The speakers agree on the problem but disagree on the primary remedy-large-scale infrastructure upgrades, offline device deployment, or policy-driven coordination. [139-147][212-214][340-357]
POLICY CONTEXT (KNOWLEDGE BASE)
Indian policy briefs contrast rapid infrastructure rollout with language-focused, institution-level interventions, reflecting ongoing debate over the best tactical approach [S45][S54].
Whether AI‑driven bots can effectively replace or supplement human teachers
Speakers: Pranav Gupta, Aditi Nanda, Pankaj Arora
There is overwhelming support for traditional human interaction; students still prefer human-based learning. (Pranav Gupta) [45-46] A bot can teach without judging the child, delivering instruction in the language the child understands, thus supporting introverted or underserved learners. (Aditi Nanda) [363-367] AI cannot be a master; it must be supervised and act as an assistant, not replace teachers. (Pankaj Arora) [142-149]
Pranav reports strong student preference for human teachers, whereas Aditi envisions non-judgmental AI bots as viable tutoring tools for certain learners. Pankaj adds that AI should remain an assistant under supervision, implying limited replacement. The panel therefore shows divergent views on the extent to which AI bots can substitute human interaction in education. [45-46][363-367][142-149]
POLICY CONTEXT (KNOWLEDGE BASE)
Multiple studies and pilot projects (e.g., UK deep-fake teachers, Indian AI-assisted mentorship models) conclude bots can supplement but not replace the relational and ethical dimensions of teaching [S63][S66][S65][S64].
Pace and safeguards of AI adoption – aggressive national push vs cautious, rights‑based approach
Speakers: Suresh Yadav, Professor K. K. Aggarwal, Aditi Nanda
AI is a 360-degree paradigm shift; countries that do not adopt AI will be left behind – AI is a war and must be embraced as a national priority. (Suresh Yadav) [134-138] AI is being adopted faster by youngsters, which is an opportunity, but safeguards are needed to ensure it supplements creativity and does not erode creative capacities. (Professor K. K. Aggarwal) [72-75] Hallucination is a problem; AI must be deployed with safeguards (offline processing, local content) to protect users and maintain trust. (Aditi Nanda) [340-357]
Suresh advocates a rapid, strategic national rollout of AI, framing it as essential for future dominance. Aggarwal and Aditi caution that speed must be balanced with safeguards against creativity loss and hallucinations. The disagreement lies in the urgency versus the need for ethical and technical safeguards. [134-138][72-75][340-357]
POLICY CONTEXT (KNOWLEDGE BASE)
Policy discussions balance rapid deployment with the ‘make haste slowly’ principle, advocating rights-based safeguards and targeted interventions rather than blanket legislation [S55][S54][S53][S48].
Unexpected Differences
Macro‑strategic AI push versus classroom‑level caution
Speakers: Suresh Yadav, Professor K. K. Aggarwal
AI is not optional for India; it must be embraced as a national priority to achieve high-growth economy and global leadership. (Suresh Yadav) [134-138] AI must be used to supplement, not replace, human creativity; safeguards are needed to prevent loss of creative capacity. (Professor K. K. Aggarwal) [73-74]
Suresh frames AI as a geopolitical imperative demanding rapid, large-scale adoption, while Aggarwal, focused on classroom practice, warns that unchecked AI could erode creativity. The tension between a national-security narrative and pedagogical caution was not anticipated from the outset. [134-138][73-74]
POLICY CONTEXT (KNOWLEDGE BASE)
Strategic AI roadmaps emphasize national competitiveness, while education-focused forums call for classroom-level prudence and ethical oversight, reflecting the tension noted in global AI forecasts [S55][S47].
Policy‑driven infrastructure investment versus private‑sector offline‑device solution
Speakers: Dr. Ramanand Nand, Aditi Nanda
Resource constraints such as electricity, internet connectivity and technology must be addressed to ensure equitable AI adoption across India’s diverse institutions. (Dr. Ramanand Nand) [139-147] Deploying AI on-device (offline) reduces dependence on internet, mitigates hallucination risks and safeguards privacy, providing a reliable 24/7 tutoring experience. (Aditi Nanda) [340-357]
Nand expects large-scale public investment and policy coordination to solve infrastructure gaps, whereas Aditi proposes a technology-centric, private-sector solution that sidesteps connectivity issues through offline AI devices. The contrast between a systemic policy approach and a market-driven technical fix was not anticipated. [139-147][340-357]
POLICY CONTEXT (KNOWLEDGE BASE)
Debates in Indian AI policy papers contrast state-led infrastructure funding with private-sector device distribution models, highlighting divergent views on implementation pathways [S45][S54].
Overall Assessment

The panel shows broad consensus that AI is pivotal for India’s educational future, but significant disagreements emerge around the degree of AI autonomy in curriculum and assessment, the best method to bridge the digital divide, the role of AI bots versus human teachers, and the balance between rapid national deployment and safeguarding creative and ethical standards.

Moderate to high. While participants share common goals (AI integration, digital inclusion, multi‑stakeholder collaboration), they diverge sharply on implementation pathways—ranging from high‑automation, policy‑led infrastructure upgrades, to cautious, rights‑based, and offline‑device strategies. These divergences could affect policy coherence, resource allocation, and the speed at which AI‑enhanced education is rolled out across India.

Partial Agreements
Both emphasize multi‑stakeholder collaboration as essential for AI‑enabled education, though Nand frames it as a broad policy platform while Aditi focuses on industry‑government‑academia partnerships for content creation. [1-5][6-9][303-307]
Speakers: Dr. Ramanand Nand, Aditi Nanda
Effective AI-driven societal transformation requires collaboration among policymakers, educators, industry, and citizens. (Dr. Ramanand Nand) [1-5][6-9] Industry must partner with government and academia to develop AI-enabled multilingual educational content that reaches tier-2, tier-3 and rural learners. (Aditi Nanda) [303-307]
All agree that AI is becoming central to education and that institutions need to adapt, but they differ on the focus: Pranav highlights usage statistics, Patil stresses infrastructure gaps, while Nand calls for systemic re‑imagining. The shared goal is AI integration, with differing emphases on data, infrastructure, and policy. [24-30][212-214][51-64][139-147]
Speakers: Dr. Ramanand Nand, Pranav Gupta, Ananda Vishnu Patil
AI is an important and growing component of school education; surveys show high usage among students. (Pranav Gupta) [24-30] AI adoption in Indian schools is highly uneven, with a large digital divide that must be addressed. (Ananda Vishnu Patil) [212-214] Education institutions must be reimagined to integrate AI across school and higher-education systems to meet emerging technological challenges. (Dr. Ramanand Nand) [51-64][139-147]
Both stress that AI must operate under human oversight and not replace core human functions. Pankaj focuses on governance and supervision, while Aditi emphasizes technical safeguards (offline processing) to keep AI as a supportive tool. [142-149][340-357]
Speakers: Pankaj Arora, Aditi Nanda
AI should function as an assistant under human supervision; autonomous AI-driven curriculum design is unacceptable. (Pankaj Arora) [142-149] Deploying AI on-device (offline) reduces dependence on internet, mitigates hallucination risks and safeguards privacy, providing a reliable 24/7 tutoring experience. (Aditi Nanda) [340-357]
Takeaways
Key takeaways
AI tools are widely used by private‑school students in Delhi (≈50% use generative AI multiple times a week), primarily for information search and writing assistance; usage for calculations remains low due to accuracy concerns. Both students and educators view AI as a supplementary aid rather than a replacement for human teaching; teachers should evolve into mentors and learning designers, with AI acting as an assistant that requires supervision. Significant challenges persist: frequent AI hallucinations, lower accuracy in logical/numerical tasks, ethical misuse, and a stark digital divide (only a small fraction of India’s 1.5 million schools have adequate ICT infrastructure). AI is seen as a strategic lever for India’s long‑term economic ambition (targeting a $70‑150 trillion GDP by mid‑century) and must be embedded in the “spine” of the education system—curriculum, assessment, and teacher training. Policy and industry initiatives are already underway: AI curriculum introduced from grade 3, AI labs in villages, AI‑based national teacher standards (NPST) and mentoring missions, AI‑driven assessment pilots, and industry‑academia collaborations (e.g., Intel’s localized AI tutoring devices). Integration between school and higher education is essential; examples include university outreach programs to schools and coordinated AI research/innovation ecosystems.
Resolutions and action items
Launch and disseminate the CPRG report on AI usage in school education (already announced). Implement AI curriculum starting at grade 3 across schools, focusing on understanding AI concepts and ethical use. Deploy AI labs in rural villages to provide multilingual translation and summarisation services for community engagement. Scale AI‑based assessment tools so that 70‑80% of teacher‑education evaluation can be automated (as proposed by Pankaj Arora). Roll out the National Professional Standards for Teachers (NPST) and National Mentoring Mission (NMM) on digital platforms to match mentors with teachers’ needs. Encourage industry partnerships (e.g., Intel’s AI‑PC, local startups) to create offline, language‑localised tutoring solutions and internship pathways for students. Promote integrated university‑school outreach programs (e.g., COEP’s plan to engage 100 schools) to bridge gaps between school and higher education. Invest in expanding ICT infrastructure in schools, aiming to increase the number of schools with computers/tablets from the current ~4 lakh to a significantly larger base.
Unresolved issues
How to close the digital divide so that AI tools reach the majority of the 15 lakh schools, especially in remote and tribal areas. Effective mechanisms to mitigate AI hallucinations and improve accuracy for logical/numerical tasks in educational contexts. Development of comprehensive research‑ethics guidelines for student and teacher use of generative AI (e.g., preventing misuse for personal writing). Standardisation of AI‑driven assessment across diverse institutions while ensuring fairness and transparency. Balancing AI‑enabled personalization with the need to preserve and nurture student creativity without creating shortcuts. Long‑term governance model for AI integration in curricula and teacher training that accommodates India’s heterogeneous education system.
Suggested compromises
Position AI as a complementary tool rather than a full replacement for teachers, maintaining human interaction as the core of learning. Adopt a hybrid assessment approach: combine AI‑automated scoring with human oversight to ensure quality and address bias. Use AI for language localisation and content delivery while keeping critical thinking and creativity tasks under human guidance. Shift evaluation focus from product‑centric metrics to process‑rich evidence of learning, acknowledging AI’s role without over‑reliance.
Thought Provoking Comments
AI use among school students is high (≈50% of private‑school students use generative AI tools multiple times a week) but students report frequent hallucinations and lower accuracy for logical or numerical tasks.
Provides the first empirical baseline for AI adoption in K‑12 in India, highlighting both enthusiasm and concrete risks (hallucination, accuracy) that ground the subsequent policy discussion.
Set the factual foundation for the panel; prompted other speakers to move from abstract speculation to concrete challenges (e.g., Prof. Aggarwal’s warning about creativity loss, Suresh Yadav’s talk of a paradigm shift, and Aditi Nanda’s focus on mitigating hallucinations with on‑device AI).
Speaker: Pranav Gupta
AI should supplement our creativity, not become a shortcut that reduces our creative powers.
Frames AI as a tool that must preserve human ingenuity, challenging any narrative that AI alone can replace teaching or learning processes.
Shifted the conversation from “AI adoption” to “AI’s pedagogical role,” leading the panel to discuss supervision, ethics, and the need for AI‑assisted, not AI‑driven, curricula (e.g., Pankaj Arora’s governance vs. leadership point).
Speaker: Professor K. K. Aggarwal
AI is a 360‑degree paradigm shift; nations that do not embed AI in their institutions will be fossilized. The AI war will decide global dominance, and AI can dismantle language barriers, allowing anyone to speak in their mother tongue to any part of the world.
Elevates the discussion to a geopolitical and long‑term strategic level, linking AI adoption directly to national competitiveness and cultural inclusion.
Prompted a macro‑visionary turn, influencing later remarks about re‑imagining education for 2050/2100 (Patil) and the need for AI‑driven institutional reforms (Aggarwal, Pankaj). It also reinforced the urgency expressed by other speakers to act now.
Speaker: Suresh Yadav
AI cannot be a master; it must be an assistant that requires supervision. Governance is compliance, while leadership is about shaping AI to fit institutional needs. AI should not design curricula autonomously.
Introduces a clear distinction between AI as a tool and AI as a decision‑maker, and differentiates governance (implementation) from leadership (innovation), providing a practical framework for policy makers.
Redirected the dialogue toward concrete governance structures and the role of regulators, leading to discussions about AI‑based assessment, standards (NPST, NMM), and the need for ethical oversight (later echoed by Aggarwal and Patil).
Speaker: Pankaj Arora
The speed of AI adoption is unprecedented – Gemini reached 5 crore users in 60 days, compared with 75 years for the telephone. Yet only 4 lakh schools have computers, creating a massive digital divide.
Uses a striking quantitative comparison to illustrate both the rapid potential of AI and the stark infrastructural gaps, grounding the conversation in implementation realities.
Shifted the tone from aspirational to pragmatic, prompting other panelists (e.g., Aditi Nanda) to discuss localized, low‑bandwidth solutions and the importance of bridging the rural‑urban divide.
Speaker: Ananda Vishnu Patil
Intel is deploying AI on the device itself – voice‑to‑voice translation and tutoring that work offline, reducing reliance on cloud connectivity and limiting hallucinations.
Offers a tangible, industry‑led solution to two of the biggest concerns raised earlier (language barriers and hallucinations), showing how technology can be adapted to Indian contexts.
Moved the discussion from problem‑identification to actionable innovation, inspiring other participants to consider edge‑computing and localized content as part of the re‑imagining of institutions.
Speaker: Aditi Nanda
We must move from treating technology as a workshop tool to making AI the spine of the entire education system, transitioning from product‑centric evaluation to process‑rich evidence of learning.
Proposes a systemic shift in assessment philosophy, urging a move toward continuous, AI‑enabled learning analytics rather than one‑off tests.
Deepened the analytical layer of the conversation, influencing later remarks about integrated school‑higher‑education ecosystems (Patil) and the need for AI‑driven continuous assessment (Aggarwal).
Speaker: Pankaj Arora
Education should be student‑based, massified, and individualized simultaneously; failing to seize this AI‑enabled opportunity would be a world crime.
Combines the concepts of scale (massification) and personalization, framing AI as the only feasible way to achieve both, and adds moral urgency.
Re‑energized the panel’s focus on equity and scalability, reinforcing earlier points about digital divide (Patil) and prompting calls for AI‑driven personalized curricula (Aditi, Suresh).
Speaker: Professor K. K. Aggarwal (later remarks)
Overall Assessment

The discussion evolved from presenting baseline data on AI usage in schools to a multi‑dimensional debate about AI’s strategic, ethical, and infrastructural implications. The most impactful moments were triggered by data‑driven observations (Pranav), cautionary framing of AI’s role (Aggarwal), a geopolitical vision of AI as a determinant of national power (Yadav), and concrete governance and technology solutions (Arora, Nanda). These comments redirected the conversation repeatedly—first grounding it, then expanding its scope, then focusing it on policy mechanisms, and finally showcasing practical implementations—thereby shaping a comprehensive narrative that moved from problem identification to strategic vision and actionable pathways for re‑imagining Indian education institutions.

Follow-up Questions
How can AI hallucination and accuracy issues, especially for logical and numerical subjects, be mitigated in educational settings?
Pranav highlighted that students frequently encounter AI hallucinations and lower accuracy in logical/numerical tasks, indicating a need for research to improve AI reliability in education.
Speaker: Pranav Gupta
What is the comparative effectiveness of AI‑based learning tools versus traditional resources such as YouTube and ICT‑based learning?
He noted overwhelming support for YouTube and ICT tools, suggesting a gap in understanding how AI tools perform relative to established resources.
Speaker: Pranav Gupta
How can AI be leveraged to overcome language barriers and provide multilingual educational support in rural and tribal areas?
Multiple participants mentioned AI‑driven translation (e.g., Bhojpuri to English) and its potential to connect remote learners, pointing to a research need on multilingual AI education.
Speaker: Pranav Gupta, Suresh Yadav, Ananda Vishnu Patil, Aditi Nanda
What will be the long‑term impact of AI on India’s education system up to 2050‑2100, and how should institutions be re‑imagined?
He discussed a visionary outlook for AI‑driven transformation over the next decades, indicating the need for longitudinal studies on institutional evolution.
Speaker: Suresh Yadav
How can bias, hallucinations, and unequal access to AI technologies be addressed to ensure equitable educational outcomes?
He identified bias, hallucinations, and digital‑divide as key risks, calling for research on mitigation strategies and inclusive deployment.
Speaker: Pankaj Arora
What scalable models can close the digital divide in Indian schools, given that only a small fraction currently have computers or ICT labs?
He highlighted infrastructure gaps (≈4 lakh schools equipped), underscoring the need for research on cost‑effective, large‑scale AI infrastructure rollout.
Speaker: Ananda Vishnu Patil
How effective are AI‑driven dropout detection and intervention systems in reducing school‑level attrition?
Patil referenced tools that trace dropouts, suggesting a need to evaluate their impact and scalability.
Speaker: Ananda Vishnu Patil
What should an AI‑focused curriculum look like from early grades (e.g., class 3) through higher education, and how can it be aligned with future workforce needs?
She described ongoing curriculum work and AI courses for the future workforce, indicating a research gap in curriculum design and outcomes.
Speaker: Aditi Nanda
Can offline, device‑local AI models (e.g., AI PC) reduce hallucination and provide reliable 24/7 tutoring without internet connectivity?
She mentioned local AI processing as a solution to hallucination, prompting investigation into offline AI efficacy and safety.
Speaker: Aditi Nanda
What professional development models best prepare teachers to become AI‑enabled mentors and learning designers?
Both emphasized the shift from teacher‑followers to AI‑assisted mentors, highlighting a need for research on teacher training frameworks.
Speaker: Pankaj Arora, Aditi Nanda
How should research ethics be taught to students to prevent misuse of generative AI (e.g., using AI to write personal letters)?
He raised concerns about ethical misuse of AI, suggesting a need for curricula and studies on ethics education.
Speaker: Pankaj Arora
How can AI be integrated into assessment and grading processes to complement human evaluation?
He noted the current lack of AI‑based assessment tools, indicating a research opportunity in AI‑augmented evaluation.
Speaker: Pankaj Arora
What is the quantitative impact of AI‑enhanced schooling on labor productivity (e.g., the reported 24 % output increase per additional year of schooling)?
He cited a report linking schooling to productivity gains, calling for deeper empirical analysis of AI’s contribution to economic outcomes.
Speaker: Ananda Vishnu Patil
How can AI facilitate seamless integration between school and higher education systems to create a unified learning ecosystem?
He advocated for integrated approaches, suggesting research on pathways and platforms that bridge K‑12 and tertiary education.
Speaker: Ananda Vishnu Patil
What models enable effective industry‑academia collaborations using AI (e.g., student projects like defect detection in textile manufacturing) and how can they be scaled?
She shared success stories of AI projects linking students to industry, indicating a need to study best practices and scalability of such collaborations.
Speaker: Aditi Nanda

Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.