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 session, organized by the Center for Policy Research and Governance (CPRG), focused on how artificial intelligence is reshaping school and higher education in India [6-9][20-22]. CPRG, a policy think-tank, has already released reports on AI adoption in higher education and is launching a new study on AI use in school education, with a future report on the future of jobs planned [20-22].


Pranav Gupta presented survey results from Delhi showing that roughly half of private-school students use generative-AI tools multiple times a week, primarily for searching academic information and writing assistance, while usage for structured tasks such as calculations remains low, especially among science students [25-26][29]. Students perceive AI as helpful for both school and entrance-exam preparation, yet they also report frequent hallucinations and lower accuracy for logical or numerical subjects, leading many to view AI as a supplementary aid rather than a replacement for traditional learning [29][35-36][47]. When comparing AI tools with existing resources, respondents still favored YouTube and ICT-based learning, and they judged current AI platforms as insufficiently adaptive to individual needs [40][42]. Both the survey and the panelists highlighted a strong preference for human interaction in education, indicating that AI is unlikely to supplant teachers in the near term [45-46][47].


Professor K.K. Aggarwal noted that AI adoption is outpacing the earlier IT wave and warned that AI must augment rather than shortcut creativity [72-74]. Suresh Yadav emphasized that post-COVID shifts and AI’s 360-degree paradigm change demand that educational institutions evolve or risk becoming obsolete, citing the strategic role of universities in national competitiveness and the potential of AI to break language barriers [87-89][96-100][118-120]. Ananda Vishnu Patil drew attention to the stark digital divide, pointing out that only about four lakh Indian schools have adequate ICT infrastructure, and argued that AI curricula introduced from third grade must be paired with equitable access and safeguards against bias and hallucinations [212-214][222-227][232-236][254-257]. Aditi Nanda described industry initiatives, such as Intel’s offline AI devices that translate local languages and AI-enabled tutoring tools, and called for AI-based courses beginning in early grades to ensure ethical, locally relevant learning [322-327][340-347][349-357]. Pankaj Arora stressed that AI should function as an assistant under human supervision, proposing AI-driven assessment and standards for teacher education while preserving governance structures and promoting Indian-language AI development [142-148][150-155][408-422].


Across the panel there was consensus that reimagining education requires coordinated investment in infrastructure, curriculum redesign, and ethical oversight, with AI positioned as a tool that enhances but does not replace human pedagogy [47][71-74]. The discussion concluded that realizing AI’s potential for India’s education system will depend on collaborative efforts among government, academia, and industry to build inclusive, AI-enabled institutions that prepare students for a future economy [290-298][299-306].


Keypoints


Major discussion points


Current state of AI adoption in Indian school education – The newly released CPR-CPRG report shows that roughly half of private-school students in Delhi use AI tools multiple times a week, mainly generative platforms such as ChatGPT or Gemini, primarily for searching academic information and writing assistance [25-27]. Perceived usefulness is high for both school-exam and entrance-exam preparation, yet students still rely heavily on traditional ed-tech and offline classes [29-31]. Accuracy concerns are prominent: many students encounter hallucinations and lower reliability for logical or numerical tasks [34-37].


Key challenges and equity issues – Respondents note that AI tools often fall short of providing personalized, adaptive learning, with YouTube and other ICT resources still preferred [39-41]. A major barrier is uneven access to technology: only about 4 lakh of India’s 15 lakh schools have adequate computer labs, creating a “last-mile” gap for AI-driven learning [212-214]. Additional concerns include AI hallucinations, bias, and the need to treat AI as a tool rather than a human substitute [170-172][228-230].


Re-imagining educational institutions for an AI-enabled future – Panelists stress that AI should be an assistant that augments creativity, not a shortcut that erodes it [72-75]. Governance must shift from compliance to proactive AI leadership, with teachers evolving into mentors and curriculum designers [145-152][155-158]. Teacher-education regulators are planning AI-driven assessment (70-80 % automated) and standards development, while emphasizing research ethics and the preservation of Indian knowledge systems [408-416][420-424].


Industry-government-academia collaboration – Intel’s Aditi Nanda highlights partnerships with startups, ISVs, and government bodies to create AI-powered curricula, localized language tools, and offline AI tutors that run on edge devices, thereby addressing connectivity and hallucination issues [304-311][340-347]. Government initiatives such as the AI curriculum for third-grade students, AI labs in IITs, and MOUs with global universities illustrate a coordinated push toward nationwide AI integration [232-236][258-263].


Strategic vision for India’s AI-driven economic future – Several speakers argue that AI dominance will determine global power in the coming century; India must build world-class research institutions and scale AI education to realize a “$70-150 trillion” economy and become a leading AI hub [101-108][133-138]. The consensus is that without rapid institutional transformation, India risks being “fossilized” while other nations accelerate AI adoption [88-91][112-117].


Overall purpose / goal of the discussion


The session was convened to launch CPR-CPRG’s new “AI in School Education” report, share its empirical findings, and use the evidence as a springboard for a broader dialogue on how Indian educational institutions-across K-12, higher education, and teacher-training-must be re-imagined, governed, and partnered with industry to harness AI responsibly and equitably.


Overall tone and its evolution


The conversation begins with a formal, appreciative opening and a data-driven presentation of survey results. It then moves into a critical, problem-focused tone as panelists discuss accuracy, hallucination, and digital-divide challenges. Mid-discussion the tone shifts to constructive optimism, highlighting innovative pilots, industry collaborations, and policy initiatives. The closing remarks adopt a visionary and rallying tone, emphasizing national ambition, ethical stewardship, and collective responsibility to shape an AI-enabled future for India.


Speakers


Dr. Ramanand Nand – Session moderator and representative of the Center of Policy Research and Governance (CPRG) [​S10​].


Expertise: Policy research and governance.


Pranav Gupta – Presenter of the “AI in School Education” report.


Expertise: (not specified).


Professor K. K. Aggarwal – President, South Asian University; former Vice-Chancellor of Indraprastha University [S4][S5].


Expertise: IT and higher-education development.


Pankaj Arora – Chairperson, National Council of Teacher Education (NCTE); former Head and Dean, University of Delhi [S6].


Expertise: Curriculum development and teacher education.


Ananda Vishnu Patil – Assistant Secretary, Higher Education (Ministry of Education).


Expertise: (not specified).


Suresh Yadav – Executive Director, Commonwealth Secretariat [S8][S9].


Expertise: Policy, AI paradigm shift, education reform.


Aditi Nanda – Director, Education and Industry, Intel [S1][S3].


Expertise: Technology solutions for the education sector; industry-academia collaboration.


Additional speakers:


Andrao B. Patil – Assistant Secretary, Higher Education.


Expertise: (not specified).


Full session reportComprehensive analysis and detailed insights

Dr Ramanand Nand opened the session, introducing the Centre for Policy Research and Governance (CPRG) as a think-tank that brings together policymakers, educators, industry and citizens, and noting that CPRG’s Future of Society programme created a centre to study emerging technologies and society [1-5][6-9][20-23].


Pranav Gupta – Survey findings (response to Dr Nand’s question about recent data).


Gupta reported that roughly 50 % of private-school students use generative-AI tools such as ChatGPT or Gemini multiple times a week[25-27]. Use was high across streams, but students mainly employed these tools for searching academic information and writing assistance, with comparatively low use for structured tasks such as calculations-especially among science students, who cited the still-low accuracy of AI for numerical problems [28-30]. Respondents perceived AI as helpful for both school-exam and entrance-exam preparation, and a substantial proportion attributed improvements in academic performance to AI use [31-34]. They also reported frequent hallucinations and lower reliability for logical or numerical subjects, noting that many students could identify incorrect information [35-37]. When comparing AI platforms with existing resources, participants still favoured YouTube and ICT-based learning over generative AI and judged current AI tools as insufficiently adaptive to individual needs [40-44]. A clear preference for human interaction emerged, with the majority rejecting the idea that AI could replace in-person teaching [45-47].


Prof. K. K. Aggarwal – Historical context (answer to Dr Nand’s question on AI’s pace).


Aggarwal observed that the current AI wave is adopting faster than the earlier IT movement and warned that AI must augment, not shortcut, creativity; otherwise it risks eroding students’ creative capacities [72-75]. He urged that AI be used as a supplementary aid, not a replacement for teachers [72-75].


Suresh Yadav – Paradigm shift (answer to Dr Nand’s question on national competitiveness).


Yadav framed AI as a 360-degree paradigm shift that, together with post-COVID changes, will determine national competitiveness [81-90]. He argued that institutions-not merely governments-must lead, otherwise they will become “fossilised” [90-91]. Citing the United States and China as examples of AI-driven academic power, he projected that India could achieve a $70-150 trillion economy if it builds world-class research institutions and leverages AI to break language barriers, enabling communication from Bhojpuri to global languages [96-100][118-120]. He warned that failing to capitalise on the AI boom would leave India behind in the emerging “AI war” [133-138].


Ananda Vishnu Patil – Digital divide (answer to Dr Nand’s question on equitable adoption).


Patil highlighted that only four lakh of India’s fifteen lakh schools have functional ICT labs, leaving the majority without the hardware needed for AI-enabled learning [212-217]. He noted stark disparities between urban and tribal schools, despite some progress in central schools (KVS, NVS) and a few states that have begun AI curricula [222-227]. Patil warned that AI must be treated as a tool, not a human, to avoid mental stress and misuse [228-230]; consequently, the Ministry has introduced an AI curriculum from Grade 3 that teaches what AI is and its ethical implications [232-236]. He also described pilot projects that use AI to detect and re-engage drop-outs, translating local-language reports into English for administrators [254-257].


Pankaj Arora (NCTE) – Governance and automation (answer to Dr Nand’s question on regulatory frameworks).


Arora stressed that AI should function as an assistant under human supervision. He distinguished governance (compliance) from leadership (innovation), urging teachers to become mentors and learning designers while AI handles routine tasks [142-148][150-155]. Arora announced plans for an AI-oriented regulator (Vixit Bharat Adhishthan) that would automate 70-80 % of assessment[380-384], and called for AI-driven standards that embed research ethics and promote Indian-language AI to preserve cultural knowledge [408-416][420-424].


Aditi Nanda (Intel) – Industry-academia partnerships (answer to Dr Nand’s question on practical solutions).


Nanda illustrated how Intel is working with startups and ISVs to create AI-powered curricula, offline AI PCs that run translation and tutoring locally-eliminating the need for internet [340-347], and 24-7 AI tutors that converse in a child’s mother-tongue [304-311][350-357]. She argued that such edge-computing devices address both the hallucination problem and the connectivity gap, while also enabling teachers to become AI-enabled facilitators[361-367]. Nanda called for AI courses from early grades and highlighted a pilot where a first-generation rural college student built an AI-based defect-detection system for a textile firm [328-334].


Consensus

All speakers agreed that AI should be supplementary, enhancing rather than replacing human pedagogy [72-75][45-47][142-148]. They also concurred that bridging the digital divide-through infrastructure upgrades, offline devices, and equitable access-is essential for nationwide AI adoption [212-217][170-172][340-347]. The multilingual potential of AI was repeatedly highlighted as a means to dismantle language barriers in both urban and rural contexts [118-120][242-254][350-357]. Finally, a multi-stakeholder approach involving government, academia and industry was deemed crucial for re-imagining institutions and ensuring ethical AI governance [1-5][96-100][303-308].


Points of moderate disagreement

* Extent of automation: Arora advocated for 70-80 % AI-driven assessment[380-384], whereas Gupta and Aggarwal cautioned that students still view AI as a supplementary aid and warned that over-automation could undermine creativity [45-47][72-75].


* Governance model: Arora’s proposal for an AI-centric regulator contrasts with Yadav’s broader call for national-level ethical leadership to prevent institutions from becoming “fossilised” [81-90][87-90][380-384].


* Approach to the digital divide: Nanda promoted private-sector, offline solutions[340-347], while Patil emphasised government-led infrastructure investment to reach the “last mile” [212-217][222-227].


In concluding remarks, Dr Ramanand Nand thanked the panel and urged participants to begin thinking about AI integration now, noting that its impact will only grow [454].


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 (12)
Factual NotesClaims verified against the Diplo knowledge base (4)
Confirmedhigh

“Dr Ramanand Nand introduced CPRG as a think‑tank that brings together policymakers, educators, industry and citizens, and noted that CPRG’s Future of Society programme created a centre to study emerging technologies and society.”

The knowledge base describes CPRG as bringing policymakers, educators, industry and citizens together to reimagine AI and the future of society, matching the report’s description [S1] and [S2].

Confirmedhigh

“Aggarwal observed that the current AI wave is adopting faster than the earlier IT movement.”

Sources note that technology is moving roughly ten times faster than previous major advancements and that tech evolves faster than governments, confirming the claim of a faster AI wave [S88] and [S89].

Additional Contextmedium

“Respondents perceived AI as helpful for both school‑exam and entrance‑exam preparation.”

Google’s rollout of Gemini’s full-length JEE practice tests shows that AI tools are being positioned for entrance-exam preparation in India, providing context for the perceived usefulness of AI in exam study [S82].

Additional Contextmedium

“Students reported frequent hallucinations and lower reliability for logical or numerical subjects, and a clear preference for human interaction over AI‑only teaching.”

Research highlighting AI risks in schools, including potential undermining of cognitive development and the importance of balancing technology with human interaction, adds nuance to concerns about hallucinations and the preference for human teachers [S81] and [S58].

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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…
S2
https://dig.watch/event/india-ai-impact-summit-2026/ai-2-0-reimagining-indian-education-system — Thank you Pranavji for the presentation. Today as a panelist now we have Professor KK Agarwal sir, President South Asian…
S3
AI 2.0 The Future of Learning in India — Aditi Nanda from Intel identified language barriers as fundamental obstacles, noting that students often struggle with E…
S4
AI 2.0 Reimagining Indian education system — -Professor K. K. Aggarwal- President of South Asian University, former developer of Indraprastha University, expertise i…
S5
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 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 — – Ananda Vishnu Patil- Aditi Nanda – Pankaj Arora- Ananda Vishnu Patil
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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 — -Aditi Nanda- Director of Education and Industry at Intel, expertise in technology solutions for education sector and in…
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Keynote-Rishad Premji — -Mr. Nandan Nilekani: Role/Title: Not specified; Area of expertise: Artificial intelligence (described as pioneer and th…
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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 — – Pranav Gupta- Professor K. K. Aggarwal
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Growing reliance on AI sparks worries for young users — Research from the UK Safer Internet Centrerevealsnearly all young people aged eight to 17 now use artificial intelligenc…
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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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AI challenges how students prepare for exams — Australia’s Year 12 students are the first to complete their final school yearswith widespread access to AItools such as…
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Education, Inclusion, Literacy: Musts for Positive AI Future | IGF 2023 Launch / Award Event #27 — However, on the other hand, there is a lack of data that supports the notion that personalised learning actually increas…
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How nonprofits are using AI-based innovations to scale their impact — It’s, I think it’s somewhere between the pilot and the rollout. So we, around 15 teachers I think have had 57 or 75, 57 …
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Artificial intelligence (AI) – UN Security Council — Across different sessions, participants expressed concerns about the lack of transparency in AI algorithms, which can le…
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Building Inclusive Societies with AI — This comment provided a crucial reality check on digital solution enthusiasm expressed earlier. It forced the panel to c…
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Comprehensive Discussion Report: The Future of Artificial General Intelligence — Amazing creative tools are available for almost everyone, almost for free. Even those building the technology don’t have…
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Sustainable development — AI can play an important role in healthcare by enhancing diagnosis, treatment, health research, drug development, and go…
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GermanAsian AI Partnerships Driving Talent Innovation the Future — Industry representatives highlighted the gap between current educational offerings and market needs, noting that while s…
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We are the AI Generation — Martin describes a concrete initiative by the ITU to address the skills gap in AI literacy through a coalition approach….
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Keynote-Alexandr Wang — “Across India, creators use our AI to automatically translate reels into the language of the person watching.”[1]. “Smal…
S34
AI and Global Power Dynamics: A Comprehensive Analysis of Economic Transformation and Geopolitical Implications — Economic | Development | Infrastructure Five layers identified: application, model, chip, infrastructure, and energy. I…
S35
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…
S36
Digital divides &amp; Inclusion — Another important issue highlighted in the analysis is the lack of accessibility and inclusion for people with disabilit…
S37
What is it about AI that we need to regulate? — Based on discussions across multiple IGF 2025 sessions, several fundamental assumptions about digital inclusion need cha…
S38
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…
S39
Defying Cognitive Atrophy in the Age of AI: A World Economic Forum Stakeholder Dialogue — And you’re going to work with your colleagues and you’re going to do problems together right here in the classroom. So, …
S40
WSIS Action Line C7 E-learning — Speakers agreed that educational transformation requires coordinated efforts across multiple sectors, institutions, and …
S41
Interdisciplinary approaches — AI-related issues are being discussed in various international spaces. In addition to the EU, OECD, and UNESCO, organisa…
S42
Digital Public Infrastructure, Policy Harmonisation, and Digital Cooperation – AI, Data Governance,and Innovation for Development — Multistakeholder approach to policy education The panelist argues that the responsibility for educating the public abou…
S43
AI 2.0 Reimagining Indian education system — A significant theme was the need for better integration between school education, higher education, and industry. Curren…
S44
AI 2.0 The Future of Learning in India — Integration of school and higher education systems is essential, with technology enabling interconnected educational eco…
S45
IGF 2024 Global Youth Summit — AI-powered language tools can assist learners in improving their proficiency in non-native languages. This can be partic…
S46
How Multilingual AI Bridges the Gap to Inclusive Access — “AI can only serve the public good if it serves all languages and all cultures.”[1]. “Today, linguistic exclusion remain…
S47
Artificial intelligence — Multilingualism
S49
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…
S50
Main Session | Policy Network on Artificial Intelligence — These key comments shaped the discussion by broadening its scope beyond technical and policy considerations to include e…
S51
DiploNews – Issue 329 – 1 August 2017 — ​The field of artificial intelligence (AI) has seen significant advances over the past few years, in areas such as smart…
S52
Building Trusted AI at Scale Cities Startups &amp; Digital Sovereignty – Panel Discussion — “For the health sector, we’re looking at our frontline health workers… giving them decision support tools that enable …
S53
What policy levers can bridge the AI divide? — ## Forward-Looking Perspectives ## Infrastructure as Foundation ## Key Challenges and Opportunities ## Regulatory App…
S54
WSIS Action Lines for Advancing the Achievement of SDGs | IGF 2023 Open Forum #5 — In summary, the analysis stresses the need for targeted policy implementation, accountability, and clarity in the digita…
S55
Bridging the digital divide through language inclusion — At theInternet Governance Forum 2025in Norway, a high-level panel of global experts highlighted the urgent need to embed…
S56
WS #144 Bridging the Digital Divide Language Inclusion As a Pillar — ## Artificial Intelligence: Opportunity and Opportunity ## Policy and Governance Approaches
S57
AI as a companion in our most human moments — The goal isn’t to replace human connection, empathy, or professional care. It’s to recognise that AI can play a valuable…
S58
Tech and Learning: Can They Vibe? / DAVOS 2025 — Use technology as a supplement to, not a replacement for, human teaching and interaction
S59
Turbocharging Digital Transformation in Emerging Markets: Unleashing the Power of AI in Agritech (ITC) — Moreover, while AI and new technologies have significant potential in agriculture, it is crucial to understand that they…
S60
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…
S61
Why science metters in global AI governance — And also mentioned here. So this is where we are suggesting that this could be one way to look at. It’s not that everyth…
S62
AI for Social Empowerment_ Driving Change and Inclusion — He asks how governments and institutions can govern AI responsibly to minimise labour market disruption and ensure a smo…
S63
AUDA-NEPAD White Paper: Regulation and Responsible Adoption of AI in Africa Towards Achievement of AU Agenda 2063 — The AI Act considers a governance approach in which only the high-risk AI systems are regulated (or have a regulatory fr…
S64
AI 2.0 The Future of Learning in India — Andrao B. Patil, Additional Secretary for Higher Education, provided statistics about implementation challenges across I…
S65
AI 2.0 Reimagining Indian education system — Around 10 crore people in India are using ChatGPT and Gemini, showing rapid adoption compared to traditional technologie…
S66
WS #234 AI Governance for Children’s Global Citizenship Education — Example of using ChatGPT as a generator rather than a feedback tool for writing essays.
S67
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…
S68
AI for Safer Workplaces &amp; Smarter Industries Transforming Risk into Real-Time Intelligence — The panel reached consensus on the need for fundamental educational reform to prepare students for an AI-integrated futu…
S69
AI (and) education: Convergences between Chinese and European pedagogical practices — The discussion demonstrated that education’s future lies not in choosing between human and artificial intelligence, but …
S70
AI-Powered Chips and Skills Shaping Indias Next-Gen Workforce — -Industry-Academia-Government Collaboration Model: The successful three-way partnership between companies like LAM Resea…
S71
Designing Indias Digital Future AI at the Core 6G at the Edge — -Government Initiatives and Industry Collaboration: Discussion of various government programs including the 6G Accelerat…
S72
We are the AI Generation — Martin describes a concrete initiative by the ITU to address the skills gap in AI literacy through a coalition approach….
S73
GermanAsian AI Partnerships Driving Talent Innovation the Future — Industry representatives highlighted the gap between current educational offerings and market needs, noting that while s…
S74
Building Trusted AI at Scale Cities Startups &amp; Digital Sovereignty – Panel Discussion Moderator Amitabh Kant NITI — Industry leaders are collaborating with government on university curriculum development
S75
AI Innovation in India — Bagla articulated a compelling vision of India’s unique advantages in the global AI landscape, asserting that India will…
S76
Open Forum #30 Harnessing GenAI to transform Education for All — Antonio Saravanos: So you bring up an excellent point, right? Unfortunately, it’s quite easy to detect the use of TAT…
S77
OpenAI joins Common Sense’s framework for assessing safety and impact of AI products — OpenAI has partnered with Common Sense Media, a nonprofit organisation dedicated to assessing media and technology suita…
S78
ChatGPT usage in schools doubles among US teens — Younger members of Generation Z areturningto ChatGPT for schoolwork, with a newPew Research Centresurvey revealing that …
S79
Annex to the Government’s Proposal — According to surveys, the use of the digital textbook libraries and electronic learning materials is not typical 46 , al…
S80
An exciting and fearsome tool – Statement by Pope Francis at G7 Summit — Finally, I would like to indicate one last area in which the complexity of the mechanism of so-called Generative Artific…
S81
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…
S82
AI learning tools grow in India with Gemini’s JEE preparation rollout — Google is expanding AI learning tools in India by adding full-lengthJoint Entrance Exam practice teststo Gemini, targeti…
S83
Open Forum: Liberating Science — However, the analysis also reveals a growing mistrust towards experts. This trend has been observed in relation to event…
S84
Gen AI: Boon or Bane for Creativity? — By streaming Sunday Ticket on YouTube, the NFL aimed to cater to the preferences of younger viewers who wished to consum…
S85
AI won’t replace coaches, but it will replace coaching without outcomes — Many coaches believe AI couldnever replace the human touch. They pride themselves on emotional intelligence — their empa…
S86
AI in education reveals a critical evidence gap — Universities are increasinglyreorganisingaround AI, treating AI-based instruction as a proven solution for delivering ed…
S87
Open Forum: A Primer on AI — Artificial Intelligence is advancing at a rapid pace
S88
Generative AI: Steam Engine of the Fourth Industrial Revolution? — Technology is moving at an incredibly fast pace, and this rapid advancement is seen in various sectors such as AI, semic…
S89
Global AI Governance: Reimagining IGF’s Role &amp; Impact — Mario Nobile: Thank you. I agree with Ivana Bartoletti, and I’ll try to answer also to friends from Nigeria. I think tec…
S90
Panel Discussion Next Generation of Techies _ India AI Impact Summit — This consensus is somewhat unexpected because previous technology waves often emphasized speed to market and rapid itera…
Speakers Analysis
Detailed breakdown of each speaker’s arguments and positions
P
Pranav Gupta
6 arguments155 words per minute1033 words398 seconds
Argument 1
High prevalence and frequent use of AI tools among private‑school students (Pranav Gupta)
EXPLANATION
The survey found that nearly half of private‑school students in Delhi regularly use AI‑based tools. Their usage occurs multiple times per week, indicating a widespread integration of AI into daily learning activities.
EVIDENCE
Pranav reported that almost 50 % of the sampled private-school students use AI-based tools, such as generative platforms, multiple times a week, demonstrating high prevalence and frequent use [25].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Surveys indicate that nearly all young people aged 8-17 use AI tools regularly [S15] and a large proportion of undergraduate students report frequent use of AI chatbots for studying [S17].
MAJOR DISCUSSION POINT
High prevalence and frequent use of AI tools among private‑school students
Argument 2
AI perceived as helpful for exam preparation and reported to improve academic performance (Pranav Gupta)
EXPLANATION
Students consider AI platforms useful for preparing both school and entrance examinations, and many attribute improvements in their academic results to AI assistance. This perception suggests AI is viewed as an effective study aid.
EVIDENCE
The presenter noted a relatively high perceived helpfulness of AI for studying for school exams and entrance exams, especially among science students, and later highlighted that a substantial proportion of students credit AI tools with improving their academic performance [29][33].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
AI chatbots are widely used by students for study purposes [S17]; they are employed for exam preparation, though a university cheating case highlights misuse concerns [S16]; educators also warn that reliance may affect core skills [S18].
MAJOR DISCUSSION POINT
AI perceived as helpful for exam preparation and reported to improve academic performance
Argument 3
Significant accuracy problems and hallucinations, especially in logical/numerical tasks (Pranav Gupta)
EXPLANATION
Students frequently encounter incorrect or fabricated information from AI, particularly when dealing with logical or numerical problems. These accuracy issues undermine confidence in AI outputs.
EVIDENCE
The speaker highlighted that many students regularly face AI hallucinations and receive incorrect information, and that accuracy is especially low for logical or numerical subjects, which platforms are still working to improve [34-37].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Users report lower accuracy of AI outputs on logical and numerical tasks [S14], and hallucinations have been observed in language models [S3][S22].
MAJOR DISCUSSION POINT
Significant accuracy problems and hallucinations, especially in logical/numerical tasks
Argument 4
AI viewed as a supplementary aid rather than a replacement for teachers (Pranav Gupta)
EXPLANATION
While AI usage is growing, students still see it as an adjunct to traditional teaching rather than a substitute. The technology is perceived to support learning without replacing human educators.
EVIDENCE
Pranav concluded that AI is emerging as a supplementary tool and not a replacement for traditional teaching, emphasizing that students still prefer human interaction in education [47].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Educators emphasize that AI should support, not replace, teachers, highlighting the relational and ethical dimensions of education [S19][S20].
MAJOR DISCUSSION POINT
AI viewed as a supplementary aid rather than a replacement for teachers
DISAGREED WITH
Pankaj Arora, Professor K. K. Aggarwal
Argument 5
Students still prefer traditional resources (YouTube, ICT) and find AI lacking in personalized, adaptive support (Pranav Gupta)
EXPLANATION
When comparing AI tools with existing resources, students show overwhelming preference for platforms like YouTube and ICT‑based learning. They also feel AI does not yet provide adaptive, individualized solutions.
EVIDENCE
The survey showed overwhelming support for YouTube and ICT-based learning over AI platforms, and participants noted that AI tools are not delivering personalized, adaptive learning experiences [40-46].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Students evaluate AI tools as not providing solutions tailored to their needs [S2]; research questions the effectiveness of personalized AI learning for retention [S21]; a user-centric design approach is advocated [S24].
MAJOR DISCUSSION POINT
Students still prefer traditional resources and find AI lacking in personalized, adaptive support
Argument 6
Hallucination, bias, and limited accuracy undermine trust in AI tools (Pranav Gupta)
EXPLANATION
Beyond general accuracy concerns, specific issues such as hallucinations and algorithmic bias erode user confidence in AI applications. These challenges need to be addressed for broader adoption.
EVIDENCE
The presenter identified hallucination, bias, and limited accuracy as key factors that reduce trust in AI tools, echoing earlier points about incorrect information and low reliability in logical tasks [34-37][170-172].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Hallucinations, limited accuracy, and algorithmic bias reduce trust in AI tools, with concerns about transparency and accountability raised at the UN level [S14][S3][S22][S23].
MAJOR DISCUSSION POINT
Hallucination, bias, and limited accuracy undermine trust in AI tools
P
Professor K. K. Aggarwal
1 argument143 words per minute894 words374 seconds
Argument 1
AI adoption is outpacing the earlier IT wave; it must augment rather than shortcut creative learning (Professor K. K. Aggarwal)
EXPLANATION
Professor Aggarwal observes that AI is being embraced faster than the previous IT revolution and warns that it should enhance creativity rather than replace it. He stresses the need to prevent AI from becoming a shortcut that diminishes creative capacities.
EVIDENCE
He explained that AI is being adopted by youngsters much faster than the earlier IT wave and emphasized that AI must supplement, not shortcut, creativity to avoid reducing creative powers [72-75].
MAJOR DISCUSSION POINT
AI adoption is outpacing the earlier IT wave; it must augment rather than shortcut creative learning
DISAGREED WITH
Pankaj Arora, Pranav Gupta
S
Suresh Yadav
2 arguments163 words per minute1216 words446 seconds
Argument 1
AI is a paradigm shift; institutions must lead the change to keep the nation competitive and to dismantle language barriers (Suresh Yadav)
EXPLANATION
Suresh describes AI as a 360‑degree paradigm shift that will determine national competitiveness. He argues that educational institutions must spearhead AI adoption and highlights AI’s ability to break language barriers, enabling inclusive communication.
EVIDENCE
He called AI a 360-degree paradigm shift that will fossilize institutions that do not adapt, emphasized the strategic role of institutions in global competitiveness, and illustrated AI’s capacity to dismantle language barriers through village AI labs that translate Bhojpuri to multiple languages [87-120].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
AI-driven voice-to-voice translation that works offline demonstrates its potential to break language barriers [S3]; rapid AI adoption is described as a paradigm shift affecting national competitiveness [S15].
MAJOR DISCUSSION POINT
AI is a paradigm shift; institutions must lead the change to keep the nation competitive and to dismantle language barriers
DISAGREED WITH
Pankaj Arora
Argument 2
Ethical governance and responsible use are necessary to prevent misuse and ensure AI serves humanity (Suresh Yadav)
EXPLANATION
He stresses that without proper ethical oversight, AI could be misused, and calls for governance frameworks that ensure AI benefits humanity. Responsible use is positioned as essential for sustainable AI integration.
EVIDENCE
Suresh warned that AI must be used ethically and responsibly, noting that misuse would lead to a technology war and that governance is required to keep AI aligned with human values [135-138].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Misuse of AI for academic cheating underscores the need for ethical governance [S16]; UN discussions stress transparency and human control over AI systems [S23][S27].
MAJOR DISCUSSION POINT
Ethical governance and responsible use are necessary to prevent misuse and ensure AI serves humanity
P
Pankaj Arora
2 arguments130 words per minute765 words352 seconds
Argument 1
Teachers should become mentors and learning designers; AI requires supervision, governance, and must address bias and access inequities (Pankaj Arora)
EXPLANATION
Pankaj argues that educators will shift from content deliverers to mentors and designers, while AI should be treated as an assistant that needs supervision and robust governance. He also highlights the need to mitigate bias, hallucinations, and unequal access to technology.
EVIDENCE
He described AI as an assistant that must be supervised, distinguished governance from leadership, and warned about bias, hallucinations, and uneven access to devices and electricity as challenges to equitable AI adoption [145-173].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Teachers are urged to become mentors while AI serves as an assistive tool requiring supervision and governance to address bias and equity concerns [S19][S20][S23][S28].
MAJOR DISCUSSION POINT
Teachers should become mentors and learning designers; AI requires supervision, governance, and must address bias and access inequities
DISAGREED WITH
Suresh Yadav
Argument 2
Unequal access to devices, electricity, and internet creates a digital divide that hampers nationwide AI adoption (Pankaj Arora)
EXPLANATION
He points out that disparities in infrastructure—such as lack of devices, reliable electricity, and internet connectivity—prevent uniform AI integration across the country. Addressing these gaps is essential for equitable AI deployment.
EVIDENCE
Pankaj highlighted that bias, hallucinations, and especially uneven access to technology are significant challenges for AI implementation, noting that many regions lack the necessary devices, power, and connectivity [170-172].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Digital divides persist due to unequal access to devices, electricity, and internet, risking reinforcement of existing inequalities [S28]; user-centric adoption strategies are recommended [S24].
MAJOR DISCUSSION POINT
Unequal access to devices, electricity, and internet creates a digital divide that hampers nationwide AI adoption
DISAGREED WITH
Aditi Nanda, Ananda Vishnu Patil
A
Ananda Vishnu Patil
2 arguments161 words per minute2123 words786 seconds
Argument 1
Integrated approach linking school and higher education, infrastructure upgrades, early AI curriculum, and AI‑driven language translation are essential; ethical use is critical (Ananda Vishnu Patil)
EXPLANATION
Patil stresses the need for a coordinated strategy that connects school and higher education, upgrades infrastructure, introduces AI curricula from early grades, and leverages AI for multilingual translation. He also underscores the importance of ethical AI deployment.
EVIDENCE
He compared the rapid adoption of Gemini (60 days) to older technologies, highlighted that only 4 lakh schools have ICT labs, noted the rollout of AI curriculum in third grade, described AI translation labs in villages, and warned about ethical misuse while emphasizing ongoing AI-driven initiatives across schools and universities [190-214][215-236][242-254][260-267].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Initiatives such as offline voice-to-voice translation illustrate the need for infrastructure upgrades and early AI curricula [S3]; AI literacy programs stress ethical deployment [S19]; addressing inequities remains crucial [S28].
MAJOR DISCUSSION POINT
Integrated approach linking school and higher education, infrastructure upgrades, early AI curriculum, and AI‑driven language translation are essential; ethical use is critical
DISAGREED WITH
Aditi Nanda, Pankaj Arora
Argument 2
Unequal access to devices, electricity, and internet creates a digital divide that hampers nationwide AI adoption (Ananda Vishnu Patil)
EXPLANATION
Patil points out that the limited availability of computers and ICT infrastructure in schools, especially in rural and tribal areas, creates a substantial digital divide that restricts AI’s reach. Bridging this gap is necessary for inclusive AI adoption.
EVIDENCE
He provided figures showing only about 4 lakh schools have computers or ICT labs out of 15 lakh total, and described the stark contrast between urban AI uptake and rural/tribal challenges, emphasizing the need to address infrastructure deficits [212-214][222-224].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Digital divides persist due to unequal access to devices, electricity, and internet, risking reinforcement of existing inequalities [S28]; user-centric adoption strategies are recommended [S24].
MAJOR DISCUSSION POINT
Unequal access to devices, electricity, and internet creates a digital divide that hampers nationwide AI adoption
D
Dr. Ramanand Nand
1 argument106 words per minute1530 words862 seconds
Argument 1
Reimagining institutions demands coordinated effort among policymakers, educators, industry, and citizens (Dr. Ramanand Nand)
EXPLANATION
Dr. Nand frames the panel discussion as a collaborative platform where diverse stakeholders must work together to redesign educational institutions for the AI era. He emphasizes the importance of multi‑sectoral coordination.
EVIDENCE
In his opening remarks he described CPRG’s role in bringing policymakers, educators, industry, and citizens together to reimagine AI and the future of society, and later he called on panelists to discuss how institutions can be reimagined [1-5][51-68][368-370].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
UN forums highlight the need for coordinated action among policymakers, educators, industry, and civil society to ensure responsible AI deployment [S23].
MAJOR DISCUSSION POINT
Reimagining institutions demands coordinated effort among policymakers, educators, industry, and citizens
A
Aditi Nanda
1 argument173 words per minute1281 words443 seconds
Argument 1
Partnerships with startups and ISVs enable localized, offline AI content, 24/7 tutoring, and AI‑based curricula from early grades; Intel’s programs illustrate these impacts (Aditi Nanda)
EXPLANATION
Aditi outlines how Intel collaborates with startups, ISVs, and educational bodies to create AI‑enabled tools that work offline, provide round‑the‑clock tutoring, and integrate AI curricula from primary school onward. She cites concrete examples of localized translation and device‑based AI solutions.
EVIDENCE
She described Intel’s work with startups to deliver AI-enabled content that runs locally on devices without internet, highlighted a 24/7 AI tutor that translates queries into the child’s language, and mentioned programs such as Unnati and AI-for-Future-Work that bring AI curricula to schools and higher education, including a rural student’s AI-based defect-detection project [299-357].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
AI solutions that run locally on devices without internet, such as voice-to-voice translation, illustrate the feasibility of offline, localized content [S3]; partnerships are suggested to tailor such tools to community needs [S24].
MAJOR DISCUSSION POINT
Partnerships with startups and ISVs enable localized, offline AI content, 24/7 tutoring, and AI‑based curricula from early grades; Intel’s programs illustrate these impacts
DISAGREED WITH
Ananda Vishnu Patil, Pankaj Arora
Agreements
Agreement Points
AI should be viewed as a supplementary tool that augments, not replaces, teachers and human interaction
Speakers: Pranav Gupta, Professor K. K. Aggarwal, Pankaj Arora
AI viewed as a supplementary aid rather than a replacement for teachers AI adoption is outpacing the earlier IT wave; it must augment rather than shortcut creative learning Teachers should become mentors and learning designers; AI requires supervision, governance, and must address bias and access inequities
All three speakers stress that AI is an assistive technology that should support creativity and learning without substituting the teacher, emphasizing mentorship and supervision [47][72-75][145-148].
POLICY CONTEXT (KNOWLEDGE BASE)
This view aligns with UNESCO’s AI-in-education guidance that frames AI as a support for teachers rather than a substitute, and echoes statements from the World Economic Forum and Davos emphasizing AI as a complement to human interaction [S49][S57][S58][S60].
Addressing the digital divide is essential for nationwide AI adoption in education
Speakers: Pankaj Arora, Ananda Vishnu Patil
Unequal access to devices, electricity, and internet creates a digital divide that hampers nationwide AI adoption Integrated approach linking school and higher education, infrastructure upgrades, early AI curriculum, and AI‑driven language translation are essential; ethical use is critical
Both speakers highlight severe infrastructure gaps – limited ICT labs in schools and uneven access to power and connectivity – and call for coordinated upgrades to enable equitable AI integration [170-172][212-214][222-224].
POLICY CONTEXT (KNOWLEDGE BASE)
WSIS and IGF discussions repeatedly stress a multi-pronged strategy-infrastructure, inclusive design, and policy-to prevent widening digital exclusion as AI expands, as highlighted in WS #270 and the “What policy levers can bridge the AI divide?” report [S35][S53][S55][S38].
AI can break language barriers and provide multilingual access to education
Speakers: Suresh Yadav, Ananda Vishnu Patil, Aditi Nanda
AI is a paradigm shift; institutions must lead the change to keep the nation competitive and to dismantle language barriers Integrated approach … AI‑driven language translation are essential Partnerships … enable localized, offline AI content, 24/7 tutoring, and AI‑based curricula from early grades
All three emphasize AI’s capacity to translate between regional languages (e.g., Bhojpuri to English) and to deliver content locally, thereby removing linguistic obstacles for learners in rural and urban settings [119-124][242-254][350-357].
POLICY CONTEXT (KNOWLEDGE BASE)
The IGF 2024 Global Youth Summit and UNESCO-linked research underline AI-driven translation and multilingual tools as democratic imperatives for inclusive education, with case studies on preserving cultural knowledge through AI [S45][S46][S48][S55].
Coordinated multi‑stakeholder effort is required to reimagine educational institutions for the AI era
Speakers: Dr. Ramanand Nand, Suresh Yadav, Aditi Nanda
Reimagining institutions demands coordinated effort among policymakers, educators, industry, and citizens The role of educational institutions is of paramount importance; no country can dominate the world unless the institutions dominate the world Industry must work with startups, ISVs, government and academia to create AI‑enabled tools and curricula
The opening remarks, the emphasis on institutional leadership, and the call for industry-academia partnerships all point to a shared belief that collaborative governance is essential for AI-driven transformation [1-5][96-100][303-308].
POLICY CONTEXT (KNOWLEDGE BASE)
WSIS Action Line C7, the multistakeholder policy network, and UNESCO’s collaborative frameworks call for joint action among governments, academia, industry, and civil society to redesign learning ecosystems [S40][S41][S42][S49].
Ethical governance and responsible AI use are necessary to prevent misuse and ensure AI serves humanity
Speakers: Suresh Yadav, Pankaj Arora, Aditi Nanda
Ethical governance and responsible use are necessary to prevent misuse and ensure AI serves humanity Teachers should become mentors and learning designers; AI requires supervision, governance, and must address bias and access inequities Partnerships … AI must be used ethically and responsibly
All three stress the need for oversight, bias mitigation, and ethical safeguards to keep AI aligned with human values and to avoid harmful outcomes [135-138][170-173][349-356].
POLICY CONTEXT (KNOWLEDGE BASE)
UNESCO’s ethical AI guidelines, the AUDA-NEPAD white paper, and global AI-governance dialogues underscore the need for risk-based regulation and codes of conduct to safeguard human rights and societal well-being [S49][S63][S61][S62].
Similar Viewpoints
Both highlight AI as a transformative force in education that can boost learning outcomes but requires institutional leadership to harness its potential responsibly [29,33][87-90].
Speakers: Pranav Gupta, Suresh Yadav
AI perceived as helpful for exam preparation and reported to improve academic performance AI is a paradigm shift; institutions must lead the change to keep the nation competitive and to dismantle language barriers
Both stress that AI integration must be paired with strong governance, mentorship models, and infrastructure upgrades to be effective across the education system [145-148][215-236].
Speakers: Pankaj Arora, Ananda Vishnu Patil
Teachers should become mentors and learning designers; AI requires supervision, governance, and must address bias and access inequities Integrated approach linking school and higher education, infrastructure upgrades, early AI curriculum, and AI‑driven language translation are essential; ethical use is critical
Both see AI as a catalyst for creativity and learning, provided that industry‑academia collaborations deliver localized, accessible tools that support, rather than replace, human creativity [72-75][299-357].
Speakers: Professor K. K. Aggarwal, Aditi Nanda
AI adoption is outpacing the earlier IT wave; it must augment rather than shortcut creative learning Partnerships with startups and ISVs enable localized, offline AI content, 24/7 tutoring, and AI‑based curricula from early grades; Intel’s programs illustrate these impacts
Unexpected Consensus
Early AI curriculum and integration of school and higher education across sectors
Speakers: Professor K. K. Aggarwal, Ananda Vishnu Patil
AI adoption is outpacing the earlier IT wave; it must augment rather than shortcut creative learning Integrated approach linking school and higher education, infrastructure upgrades, early AI curriculum, and AI‑driven language translation are essential; ethical use is critical
It is surprising that an academic leader focused on higher-education policy (Aggarwal) and a government official overseeing school education (Patil) converge on the need for an AI curriculum starting from early grades and a seamless school-university pipeline, indicating cross-sectoral alignment that was not initially evident [72-75][215-236].
POLICY CONTEXT (KNOWLEDGE BASE)
Initiatives in India and UNESCO-OECD reports advocate early AI literacy and seamless pathways between K-12, higher education, and industry to build a future-ready workforce [S43][S44][S49][S41].
Overall Assessment

The panel shows strong consensus that AI should be an assistive, ethically governed tool that augments teaching, that digital infrastructure and multilingual capabilities must be expanded, and that coordinated action among policymakers, educators, and industry is essential.

High – most speakers align on the same strategic pillars (supplementary AI, teacher‑mentor role, digital divide mitigation, ethical governance, and multi‑stakeholder collaboration), suggesting a unified direction for policy and implementation in India’s AI‑driven education transformation.

Differences
Different Viewpoints
Extent of AI automation in assessment and teaching
Speakers: Pankaj Arora, Pranav Gupta, Professor K. K. Aggarwal
Teachers should become mentors and learning designers; AI requires supervision, governance, and must address bias and access inequities (Pankaj Arora) AI viewed as a supplementary aid rather than a replacement for teachers (Pranav Gupta) AI adoption is outpacing the earlier IT wave; it must augment rather than shortcut creative learning (Professor K. K. Aggarwal)
Pankaj Arora proposes that AI take a major role in assessment (70-80% automated) and act as an assistant that must be supervised, suggesting a shift toward AI-driven evaluation and teacher-as-mentor models [408-410][145-148]. Pranav Gupta counters that students still see AI as a supplementary tool and prefer human interaction, arguing against any replacement of teachers [47][45-46]. Aggarwal adds that AI should only augment creativity and must not become a shortcut that diminishes creative capacities, reinforcing a cautious, supportive role for AI [72-75].
POLICY CONTEXT (KNOWLEDGE BASE)
Pilot projects cited in Building Trusted AI at Scale illustrate AI-assisted assessment tools that augment teachers, while ongoing debates question the limits of automation in pedagogy [S52][S59].
Governance model for AI in education
Speakers: Pankaj Arora, Suresh Yadav
Teachers should become mentors and learning designers; AI requires supervision, governance, and must address bias and access inequities (Pankaj Arora) AI is a paradigm shift; institutions must lead the change to keep the nation competitive and to dismantle language barriers (Suresh Yadav)
Pankaj Arora calls for an AI-oriented regulator where AI performs the bulk of assessment and stresses technical governance and supervision of AI outputs [408-410][145-148]. Suresh Yadav frames AI as a 360-degree paradigm shift that will fossilise institutions that do not adapt, urging broader ethical governance and national-level leadership rather than a specialised AI regulator [87-90][135-138].
POLICY CONTEXT (KNOWLEDGE BASE)
UNESCO’s policy network proposes a tiered governance model, and the AUDA-NEPAD framework recommends high-risk AI regulation combined with voluntary codes for lower-risk systems, informing education-specific governance discussions [S49][S63][S50].
Approach to bridging the digital divide for AI adoption
Speakers: Aditi Nanda, Ananda Vishnu Patil, Pankaj Arora
Partnerships with startups and ISVs enable localized, offline AI content, 24/7 tutoring, and AI‑based curricula from early grades; Intel’s programs illustrate these impacts (Aditi Nanda) Integrated approach linking school and higher education, infrastructure upgrades, early AI curriculum, and AI‑driven language translation are essential; ethical use is critical (Ananda Vishnu Patil) Unequal access to devices, electricity, and internet creates a digital divide that hampers nationwide AI adoption (Pankaj Arora)
Aditi Nanda promotes industry-driven partnerships that deliver offline, device-based AI tutoring and curricula, emphasizing private-sector innovation [340-357]. Patil stresses a government-led, integrated strategy that upgrades school infrastructure, introduces AI curricula from third grade, and uses AI for multilingual translation, highlighting systemic investment needs [212-214][222-224]. Arora points out the existing uneven access to hardware, power and connectivity as a major barrier, underscoring the need to address infrastructure gaps before scaling AI solutions [170-172].
POLICY CONTEXT (KNOWLEDGE BASE)
Reports from WS #270 and policy briefs on digital inclusion outline infrastructure investment, affordable connectivity, and inclusive design as core levers for equitable AI uptake in schools [S35][S53][S38][S42].
Unexpected Differences
Scale of AI’s geopolitical impact
Speakers: Suresh Yadav, Pranav Gupta, Professor K. K. Aggarwal
AI is a paradigm shift; institutions must lead the change to keep the nation competitive and to dismantle language barriers (Suresh Yadav) AI viewed as a supplementary aid rather than a replacement for teachers (Pranav Gupta) AI adoption is outpacing the earlier IT wave; it must augment rather than shortcut creative learning (Professor K. K. Aggarwal)
Suresh Yadav makes a strong claim that AI will determine global dominance, describing a forthcoming “AI war” and asserting that nations not adopting AI will be fossilised [87-90][135-138]. In contrast, Pranav Gupta and Aggarwal treat AI primarily as an educational tool with limited scope, focusing on pedagogical impacts rather than geopolitical supremacy. This disparity in the perceived magnitude of AI’s impact was not anticipated given the otherwise collaborative tone of the panel.
POLICY CONTEXT (KNOWLEDGE BASE)
Analyses of AI readiness in Africa and global governance sessions highlight AI’s role in shifting geopolitical balances, influencing development agendas and digital-sovereignty strategies [S38][S50][S61].
Overall Assessment

The panel broadly concurs that AI will reshape Indian education, but key disagreements arise around the depth of AI automation in assessment and teaching, the appropriate governance model (AI‑centric regulator vs broader ethical oversight), and the preferred route to bridge the digital divide (private‑sector partnerships versus government‑led infrastructure upgrades). These divergences reflect differing visions of how quickly and how centrally AI should be embedded in the education system.

Moderate to high. While there is consensus on AI’s importance, the contrasting positions on automation, regulatory architecture, and implementation pathways could impede coordinated policy action unless reconciled. The implications are significant: without alignment, reforms may either over‑rely on AI and risk bias/hallucination, or under‑utilise AI’s potential, leaving India vulnerable in the global AI race.

Partial Agreements
All speakers agree that AI is a transformative force in education that must be integrated responsibly. However, they diverge on the means: Pranav and Aggarwal stress AI as a supplement to human teaching; Pankaj emphasizes AI‑driven assessment and mentorship; Suresh calls for national‑level institutional leadership; Patil focuses on systemic infrastructure and curriculum integration; Aditi highlights private‑sector partnerships and offline solutions. The shared goal is AI integration, but the pathways differ. [47][72-75][87-90][145-148][212-214][340-357]
Speakers: Pranav Gupta, Professor K. K. Aggarwal, Suresh Yadav, Pankaj Arora, Ananda Vishnu Patil, Aditi Nanda
AI viewed as a supplementary aid rather than a replacement for teachers (Pranav Gupta) AI adoption is outpacing the earlier IT wave; it must augment rather than shortcut creative learning (Professor K. K. Aggarwal) AI is a paradigm shift; institutions must lead the change to keep the nation competitive and to dismantle language barriers (Suresh Yadav) Teachers should become mentors and learning designers; AI requires supervision, governance, and must address bias and access inequities (Pankaj Arora) Integrated approach linking school and higher education, infrastructure upgrades, early AI curriculum, and AI‑driven language translation are essential; ethical use is critical (Ananda Vishnu Patil) Partnerships with startups and ISVs enable localized, offline AI content, 24/7 tutoring, and AI‑based curricula from early grades; Intel’s programs illustrate these impacts (Aditi Nanda)
Takeaways
Key takeaways
AI tools are widely used by private‑school students in Delhi, with about half using them multiple times a week, especially generative models like ChatGPT and Gemini. Students find AI helpful for exam preparation and report perceived improvements in performance, but they also encounter significant accuracy problems and hallucinations, particularly in logical and numerical tasks. AI is viewed primarily as a supplementary aid; students still prefer traditional resources such as YouTube and ICT‑based learning and desire more personalized, adaptive support. The AI wave is outpacing the earlier IT transformation; it must augment learning and creativity rather than replace or shortcut them. Institutional leadership sees AI as a paradigm shift that requires proactive governance, ethical supervision, and investment in infrastructure to keep the nation competitive and to break language barriers. Teachers are expected to evolve into mentors and learning designers, with AI serving as an assistant that needs human oversight. A coordinated, integrated approach linking school and higher education, early AI curricula, AI‑driven language translation, and ethical use is essential for nationwide adoption. Industry partnerships (e.g., Intel) are delivering localized, offline AI content, 24/7 tutoring, and curriculum development from early grades, demonstrating the value of public‑private collaboration. Major challenges remain: hallucination, bias, limited accuracy, unequal access to devices/internet, and the need for robust ethical governance.
Resolutions and action items
CPRG will release three reports in succession: ‘AI in School Education’ (launched), ‘Future of Jobs’ (next month), and a follow‑up on AI in higher education. National Council of Teacher Education (NCTE) has introduced NPST (National Professional Standards for Teachers) and NMM (National Mentoring Mission) on a digital platform, with AI assisting in query analysis and mentor matching. The Ministry of Education will integrate an AI curriculum starting from Grade 3, focusing on AI literacy rather than technical depth. Intel will showcase offline AI PC solutions and voice‑to‑voice translation demos at the AI Summit and continue collaborations with startups and ISVs for AI‑enabled teaching tools. Universities (e.g., COEP, IITs) will initiate outreach programs linking higher‑education faculty with schools to share resources and best practices. A proposal for an AI‑oriented regulator (Vixit Bharat Adhishthan) to handle 70‑80% of assessment tasks through AI was presented. Commitment to develop AI tools in Indian languages and to embed ethical guidelines for AI use in education.
Unresolved issues
How to close the digital divide so that AI tools reach schools lacking computers, electricity, or reliable internet. Specific standards and mechanisms to detect and mitigate AI hallucinations and bias in educational contexts. Concrete frameworks for AI‑based adaptive learning that can meet individual student needs beyond generic content. Long‑term governance model balancing AI governance (compliance) with AI leadership (innovation) across diverse institutions. Metrics and evaluation methods to assess the true impact of AI on learning outcomes versus traditional resources. Strategies for protecting student creativity while using AI as a supportive tool.
Suggested compromises
Position AI as an assistant that augments, not replaces, human teachers; retain human mentorship while leveraging AI for routine tasks. Adopt a blended learning model where AI supplements traditional resources (YouTube, ICT) rather than attempting to fully substitute them. Implement AI supervision and ethical oversight, allowing AI to generate content but requiring human review before deployment. Use offline, device‑local AI models to reduce dependence on internet connectivity and limit exposure to hallucinations. Balance rapid AI integration with phased rollout, ensuring infrastructure upgrades and teacher training keep pace with adoption.
Thought Provoking Comments
AI should supplement our creativity, not give us a shortcut that reduces our creative powers.
Highlights a nuanced view of AI as a tool that must enhance rather than replace human ingenuity, warning against over‑reliance that could erode creative thinking.
Shifted the discussion from merely adopting AI to considering its pedagogical philosophy. It prompted other panelists to think about safeguards and the need for AI supervision, leading to deeper conversation about ethical use and curriculum design.
Speaker: Professor K. K. Aggarwal
AI is not just a 180‑degree shift; it is a 360‑degree paradigm shift that will determine which nations dominate the world. Institutions, not governments alone, must re‑imagine education to harness AI and dismantle language barriers.
Frames AI as a geopolitical and economic catalyst, expanding the conversation from school‑level impacts to national strategy and long‑term vision for India’s place in the world.
Created a turning point where the panel moved from descriptive findings of the report to a macro‑level debate on national ambition, prompting others (e.g., Patil and Pankaj) to discuss large‑scale infrastructure, digital divide, and the need for AI‑centric institutions.
Speaker: Suresh Yadav
AI cannot be a master; it must be an assistant. Teachers will become mentors and learning designers, and AI outputs require supervision. Governance is compliance, while leadership means shaping AI to fit institutional needs.
Introduces a clear distinction between AI governance and leadership, and redefines the teacher’s role, adding a layer of policy‑oriented thinking to the dialogue.
Redirected the conversation toward regulatory frameworks and the practicalities of implementing AI in curricula, influencing subsequent remarks about AI‑based assessment and the need for AI‑driven standards.
Speaker: Pankaj Arora
The adoption curve for AI tools like Gemini is a quantum jump compared with the telephone or radio—reaching 5 crore users in 60 days versus decades for earlier technologies.
Provides a striking quantitative illustration of AI’s rapid diffusion, underscoring urgency and the scale of the challenge for infrastructure and equity.
Served as a catalyst for discussing the digital divide, prompting participants to address disparities between urban and rural schools and the necessity of scalable, low‑cost solutions.
Speaker: Ananda Vishnu Patil
We are deploying AI on‑device (AI PC) so that content, translation, and tutoring run locally without internet, reducing hallucinations and providing a 24‑7 tutor in the child’s mother‑tongue.
Offers a concrete, technology‑driven solution that directly tackles two major concerns raised earlier—language barriers and AI hallucinations—while showcasing industry’s role.
Moved the discussion from abstract policy to tangible implementation, inspiring other panelists to mention collaborations with startups and the importance of offline, low‑bandwidth AI tools.
Speaker: Aditi Nanda
The future of higher education must be student‑centric, with AI enabling massification and individualisation simultaneously; failing to seize this opportunity would be a world crime.
Emphasizes the ethical imperative of leveraging AI for inclusive, personalized learning at scale, framing inaction as a moral failure.
Re‑energized the dialogue around equity and the moral responsibility of educators and policymakers, leading to calls for integrated school‑higher‑education ecosystems and AI‑driven mentorship programs.
Speaker: Professor K. K. Aggarwal (later comment)
Overall Assessment

The discussion was steered by a handful of incisive remarks that moved the conversation from a descriptive presentation of survey results to a strategic, forward‑looking debate on AI’s societal, educational, and geopolitical implications. Suresh Yadav’s macro‑vision set the stage for national ambition, while Aggarwal’s caution about creativity and Patil’s rapid‑adoption data highlighted both opportunities and risks. Pankaj Arora’s governance‑leadership distinction reframed policy considerations, and Aditi Nanda’s concrete on‑device solution grounded the dialogue in actionable industry practice. Collectively, these comments introduced new dimensions, challenged existing assumptions, and deepened the analysis, shaping the panel’s trajectory toward a holistic re‑imagining of India’s education ecosystem in the AI era.

Follow-up Questions
How can AI tools be improved to reduce hallucinations and increase accuracy for logical and numerical subjects?
Students reported frequent AI hallucinations and lower accuracy in subjects requiring logical or numerical reasoning, indicating a need for research into model reliability and error mitigation.
Speaker: Pranav Gupta
What is the comparative effectiveness of AI‑based learning tools versus traditional platforms such as YouTube or ICT‑based learning?
The survey showed overwhelming support for YouTube over AI tools, suggesting a gap in perceived usefulness that warrants systematic evaluation of learning outcomes across platforms.
Speaker: Pranav Gupta
How can AI be made truly adaptive and personalized to meet individual student needs rather than providing generic assistance?
Students felt AI tools were not delivering solutions specific to their needs, highlighting a research opportunity to develop adaptive learning algorithms and assess their impact.
Speaker: Pranav Gupta
What governance and supervision frameworks are required to ensure AI‑generated curriculum and assessments are reliable, ethical, and aligned with educational standards?
Arora emphasized that AI output must be supervised and that AI‑based assessment will soon dominate, calling for policy and technical frameworks to manage AI in curriculum design and evaluation.
Speaker: Pankaj Arora
How can institutions ensure equitable access to AI technologies across diverse regions, especially in rural and tribal areas?
Both speakers highlighted the digital divide and uneven AI penetration, indicating a need for research on infrastructure, affordability, and scalable deployment models.
Speaker: Pankaj Arora; Ananda Vishnu Patil
What strategies can leverage AI to overcome language barriers in education, enabling effective learning in local languages for rural and multilingual populations?
Multiple participants cited AI’s potential for real‑time translation and local‑language content, suggesting investigation into accuracy, cultural relevance, and adoption in low‑resource settings.
Speaker: Suresh Yadav; Ananda Vishnu Patil; Aditi Nanda
What ethical guidelines and safeguards are needed to prevent bias, misuse, and over‑reliance on AI in educational contexts?
Both raised concerns about bias, hallucinations, and ethical misuse, underscoring the necessity for comprehensive ethical frameworks and monitoring mechanisms.
Speaker: Pankaj Arora; Suresh Yadav
How effective is introducing an AI curriculum at the elementary level (e.g., third grade) in building AI literacy and improving overall learning outcomes?
Patil mentioned the rollout of AI basics in early grades, prompting a need to evaluate its pedagogical impact and long‑term benefits.
Speaker: Ananda Vishnu Patil
What impact do AI‑powered dropout detection and intervention tools have on reducing school dropout rates?
Patil referenced AI tools used to trace and re‑engage dropouts, indicating a research gap in measuring effectiveness and scalability of such interventions.
Speaker: Ananda Vishnu Patil
How can offline AI devices (e.g., AI‑PC) be deployed at scale to provide localized tutoring while minimizing reliance on internet connectivity and reducing hallucinations?
Nanda described edge‑computing solutions that operate without cloud access, suggesting a need to study deployment logistics, user experience, and educational outcomes.
Speaker: Aditi Nanda
What role can industry‑academic partnerships play in developing AI‑enabled educational content and tools for K‑12 and higher education?
She highlighted collaborations with startups and Intel’s initiatives, pointing to a research agenda on partnership models, innovation pipelines, and impact assessment.
Speaker: Aditi Nanda
How can AI be utilized to assess student work (e.g., answer scripts) reliably and at scale, moving beyond simple scanning to intelligent evaluation?
Arora noted early attempts at AI‑assisted script assessment, indicating a need for advanced algorithms and validation studies for large‑scale grading.
Speaker: Pankaj Arora
What are the long‑term implications of AI on skill development and future job markets in India, and how should education systems adapt?
Yadav discussed AI’s role in national competitiveness and future economies, calling for forward‑looking research on curriculum redesign and workforce forecasting.
Speaker: Suresh Yadav
How can AI be used to foster research ethics among students, preventing misuse such as generating personal letters or plagiarized work?
He highlighted emerging ethical misuse cases, suggesting a need for educational interventions and detection tools to promote responsible AI use.
Speaker: Pankaj Arora
What professional development models best prepare teachers to become AI‑enabled mentors and facilitators rather than mere content deliverers?
Both emphasized teacher empowerment through AI, indicating research into training programs, competency frameworks, and impact on teaching practices.
Speaker: Aditi Nanda; Pankaj Arora

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