Empowering India & the Global South Through AI Literacy

20 Feb 2026 14:00h - 15:00h

Empowering India & the Global South Through AI Literacy

Session at a glanceSummary, keypoints, and speakers overview

Summary

The panel opened by highlighting the urgency of AI literacy for every student, parent and child in India as a foundation for active participation in AI development [1][4-5]. Moderator Bhanu framed the dialogue as a forward-looking effort to shape futures through AI literacy, noting that AI is already embedded in phones, homes and classrooms and that the debate now is how to use it productively [14-18].


Shabana explained that AI can transform education by delivering personalized learning-custom lessons, tailored pathways and individualized feedback-that mitigates the high student-teacher ratios common in the Global South [30-35][36-38]. For teachers, AI serves as an assistant that streamlines lesson-plan creation, diagnostic testing and assessment grading, thereby raising productivity and pedagogical quality [40-43]. Multilingual voice capabilities further lower barriers for underserved learners and enable parents to engage more meaningfully with their children’s education [45-47]. By aggregating data from assessments, attendance and programs, AI can generate actionable insights such as dropout risk and resource planning, underscoring the need for AI literacy across all stakeholder groups [48-50].


Tanushree illustrated the impact on learners with two government-school students: Shraddha moved from using AI for fun to cross-checking difficult subjects and gaining confidence, while Poonam shifted from viewing AI as a buzzword to using it for project ideas, reflecting a broader pattern of curiosity turning into confidence, language support, gap reduction and ethical awareness [74-80][84-86][82-86].


Chitra described teachers’ spectrum of awareness-from fear to hope-and how the AI Samarth curriculum builds both technical skill sets and a positive mindset, creating purposeful AI integration in classrooms [112-124][130-136]. She emphasized that teacher training must provide an emotionally safe environment, noting that the cascade model has already fostered polite, reflective classroom interactions and strengthened teachers’ confidence to translate AI literacy to students [198-207][210-212].


Krishnan concluded that the summit has begun to democratize AI, citing the Indian government’s policy to teach AI from class three onward and urging that AI education span all disciplines to prepare the next generation, while warning that AI is not a silver bullet but a tool that requires inclusive, responsible experimentation [229-236][242-246][242-244]. The panel agreed that coordinated AI-literacy programs are essential to ensure equitable, ethical and effective AI use in Indian and Global South education systems [155-158].


Keypoints

Major discussion points


AI literacy is essential for every education stakeholder – AI can personalize learning for students, assist teachers in lesson-planning and assessment, and lower barriers to quality education for underserved groups, while education bodies can use AI-driven data insights for planning and risk-identification[29-38][40-46].


Ground-level programmes (e.g., AI Samarth) are turning curiosity into confidence – Real-world stories from government schools in Odisha show students using AI as a learning companion, gaining confidence, bridging language gaps, reducing learning gaps, and receiving ethics training[70-86].


Teacher training must balance hope and fear and build confidence – Teachers’ preparedness involves both awareness of AI tools and their emotional mindset; programmes that create a safe, supportive environment help teachers move from anxiety to purposeful, confident use of AI in the classroom[112-124][130-138].


A structured AI-literacy curriculum is needed to embed foundational concepts and critical thinking – The AI Samarth curriculum focuses on four pillars: understanding AI and its applications, basic technical concepts (data, vision, NLP), societal and environmental impacts, and practical prompting skills; critical thinking is reinforced by teaching verification of AI outputs[169-190][193-194].


Policy and a broader inclusive vision are crucial for scaling AI education – National policy to teach AI from class 3 onward, combined with a push for AI awareness across all disciplines and regions of the Global South, is seen as a way to democratize AI and ensure no one is left behind[229-247].


Overall purpose / goal of the discussion


The panel aimed to articulate why AI literacy must become a universal foundation in Indian and Global-South education, to share concrete experiences from large-scale programmes, to outline how curricula and teacher-training can foster responsible, equitable AI use, and to align these efforts with national policy and a vision of inclusive, future-ready learning.


Overall tone and its evolution


– The conversation opens with a formal, optimistic introduction emphasizing the importance of AI literacy.


– It then shifts to anecdotal, hopeful storytelling (students’ experiences, teacher empowerment) that underscores tangible impact.


– Mid-discussion, speakers acknowledge challenges-fear, over-reliance, and the need for critical thinking-introducing a more cautious, reflective tone.


– The closing remarks adopt an inclusive, rally-calling tone, stressing democratization, policy support, and collective responsibility while maintaining optimism about AI’s potential.


Speakers

Shri S. Krishnan – Secretary, Ministry of Electronics and Information Technology (MeitY), Government of India. Expertise: technology policy, AI governance. [S1][S2]


Bhanu Potta – Moderator of the AI literacy panel; associated with Central Square Foundation. Expertise: AI literacy, education.


Tanushree Narain Sharma – Co-founder and CEO of Transform Schools. Expertise: education innovation, AI-enabled learning programs (AI Samarth).


Dr. Shabana Bhattacharya – Senior Project Scientist, Vardhani School of Data Science and AI, IIT Madras; post-PhD fellow. Expertise: AI research, ed-tech, AI curriculum design.


Chitra Ravi – Founder of Chrysalis, an education organization; experienced in ICT curriculum development. Expertise: teacher training, AI integration in schools.


Ramya Venkataraman – Associated with CENTA; former McKinsey consultant who bootstrapped the education practice for the region. Expertise: education strategy, AI in education, Global South. [S9]


Speaker 1 – Representative of Central Square Foundation, delivering the opening remarks and outlining the AI literacy initiative. Expertise: philanthropy in school education, AI literacy programs.


Additional speakers:


Gauri – Mentioned in the opening remarks; role not specified.


Full session reportComprehensive analysis and detailed insights

The session opened with Speaker 1 thanking the NDIA mission and summit for foregrounding AI literacy and introducing the Central Square Foundation (CSF), a philanthropy focused on school education and ed-tech in India. CSF has launched a large-scale AI-literacy programme called the AI Summit, developed with the Wadwani School of AI, with the explicit aim of equipping every student, parent and child in India to become active contributors to AI rather than passive users[1-7].


Moderator Bhanu Potta framed the dialogue as a forward-looking effort to “build futures through AI literacy for India and the Global South”. She stressed that AI is already embedded in phones, homes and classrooms, declaring that the debate over whether AI should be in schools is now moot and that the focus must shift to how it can be used productively[14-18]. She also highlighted the gender balance of the panel, noting that previous panels had been male-dominated and that she was privileged to moderate four distinguished women in education[10-13].


Dr Shabana Bhattacharya examined the “transformative bets” AI can place on education by analysing its impact on four stakeholder groups: learners, teachers, parents and education organisations. For learners, she argued that AI’s greatest value lies in personalisation – delivering customised lessons, tailored learning pathways, individualised assessments and feedback that can compensate for the high student-teacher ratios typical of the Global South[30-37]. Regarding teachers, she maintained that AI will act as an assistant, enhancing productivity and pedagogy through tools that help design lesson plans, run diagnostic tests and generate and evaluate assessments[40-44]. She further noted that AI’s voice-based and multilingual capabilities lower barriers to quality content for underserved classes and enable parents to engage more meaningfully with their children’s learning[45-47]. Finally, she described how AI can aggregate data from assessments, attendance and programme implementation to produce actionable insights such as dropout-risk identification and resource planning, underscoring the need for AI literacy across all stakeholder groups[48-50].


These points reinforced the panel’s shared conviction that AI literacy must be universal. Speaker 1 positioned AI literacy as a foundation for active participation[4-5], Dr Shabana highlighted that AI is already present in classrooms and that responsible use requires understanding its mechanisms[29-38][50-51], and Shri Krishnan later echoed the policy imperative that no one be left behind, citing the Indian government’s decision to teach AI from class 3 onward[229-244].


Bhanu introduced Shri S. Krishnan, who greeted the panel with a brief “Namaste Krishnan ji”, apologized for “photobombing” the session, and expressed pleasure at joining the discussion[228-229].


Tanushree Narain Sharma illustrated the impact of AI literacy on learners through two concrete stories from government schools in Odisha. Shraddha, a class-nine girl, described moving from using AI “just for fun” to employing it as a companion for cross-checking difficult subjects and seeking teacher clarification, a shift she characterised as “curiosity converting into confidence”[74-80]. Poonam, another class-nine student, recounted how AI moved from being a buzzword to a source of project ideas and preparation material, thereby reducing learning gaps, fostering ethical awareness about bias and responsible use, and supporting language development[82-86]. Tanushree summarised four overarching outcomes of the AI Samarth programme: curiosity → confidence, language support, reduction of learning gaps, and teaching ethics/bias[82-86].


Bhanu used these anecdotes to highlight three themes: the stakeholder groups touched by AI, the equity goal of reaching the “last child”, and the necessity of AI education for all actors involved[51]. She then turned to the perspective of government-school teachers, asking Tanushree how they were responding to AI in classrooms and homes[52-55].


Chitra Ravi responded by describing teachers’ preparedness as a spectrum of awareness and sentiment. On the awareness axis, teachers range from those who have never heard the term to those who are already “dabbling” with AI on platforms such as WhatsApp[115-117]. On the sentiment axis, emotions swing between hope (which can lead to over-stimulation) and fear (which can cause resistance)[121-124]. The AI Samarth curriculum, built with CSF and the Wadwani School, seeks to create an equilibrium by providing concrete skill-sets and fostering a positive mindset[125-138]. Chitra warned of a tendency toward over-utilisation, where teachers generate lesson plans with large language models (LLMs) without knowing how to validate them[144-145]. She also noted that the programme has already reached roughly 200 000 students and is on track to impact nine million, illustrating the scale of the effort[107-110][112-114].


Returning to curriculum design, Bhanu asked Dr Shabana to outline how the curriculum can ensure ethical judgement and critical thinking among children and teachers[166-168]. Dr Shabana explained that the AI Samarth curriculum rests on four pillars: (1) understanding what AI is and recognising its everyday applications; (2) grasping basic technical concepts such as data, computer vision and natural-language processing; (3) appreciating societal and environmental impacts, including bias, fairness and the computational footprint; and (4) developing practical prompting skills for generative tools like ChatGPT[169-179][180-190]. She stressed that critical thinking must be embedded by teaching learners to double-check AI outputs against reliable sources and to avoid blind reliance[193-194], a point later reinforced by Bhanu’s suggestion that students first attempt an answer independently, then use AI to review and improve it-a “critical-thinking loop”[194-195].


Chitra expanded on how teacher training operationalises these ideas. She argued that a safe, emotionally supportive environment is essential for teachers to move from anxiety to confidence, noting that many teachers now report increased politeness in classroom interactions, a subtle influence she attributes to LLM feedback that praises “brilliant questions”[198-207]. The cascade model-where trained teachers subsequently train their peers and students-has helped embed confidence and agency, allowing teachers to translate AI literacy into classroom practice while remaining cautious about the novelty of the skill set[210-212][216-222].


In his concluding remarks, Shri S. Krishnan positioned the summit as a historic step toward democratising AI. He praised the effort to bring diverse concerns into the room and reiterated that inclusive AI education is vital for enabling citizens to participate in and benefit from technology[228-236]. While acknowledging that AI is not a silver bullet and admitting “I’m not an expert on education”, he urged experimentation and stressed that AI should augment, not replace, teachers and other human resources[242-244]. He highlighted the Indian policy mandate to introduce AI from class 3 onward and called for AI education across all disciplines, arguing that the next generation must understand AI’s relevance to fields ranging from art history to engineering[242-246].


Key challenges identified


* Teachers may produce AI-generated lesson plans without proper validation, highlighting the need for systematic verification mechanisms[144-145].


* Scaling the AI Samarth programme to reach the “last child” confronts infrastructure gaps, as roughly 40 % of classrooms still lack computer labs[103-105].


* Aligning ambitious policy goals with on-the-ground capacity requires coordinated resource allocation and governance structures[229-244].


Key take-aways


* AI literacy must be universal, providing foundational concepts before role-specific skilling[4-5][170-179].


* AI-driven personalisation, multilingual delivery and data-analytics can act as equalisers, expanding quality education to low-resource and remote schools[30-38][45-47][70-86].


* Teachers experience a hope-fear spectrum; effective programmes create emotionally safe training environments that build confidence and agency while preserving the teacher’s facilitator role[112-124][130-138].


* A structured curriculum should cover AI fundamentals, data roles, societal/environmental impacts and practical prompting, with embedded ethics, bias awareness and critical-thinking loops[169-190][193-194].


* Large-scale initiatives such as AI Samarth (targeting nine million students) and national policy mandating AI education from class 3 are essential for inclusive, future-ready learning across the Global South[107-110][228-244].


* Real-world stories, like those of Shraddha and Poonam, demonstrate how AI can transform curiosity into confidence, support language development, reduce learning gaps and teach ethics/bias mitigation[74-80][82-86].


Unresolved issues for further investigation


* Mechanisms for systematic validation of AI-generated educational content against curriculum standards and pedagogical quality[144-145].


* Strategies to prevent over-reliance on AI for tasks such as lesson-plan creation without adequate teacher verification[193-194].


* Resource allocation and infrastructure solutions needed to reach the “last child” in remote or under-connected regions, especially given that many schools still lack basic computer facilities[103-105].


* Governance models for ongoing ethics oversight, bias mitigation and monitoring of AI’s environmental impact in educational settings[180-186].


* Effective policies and accountability frameworks to ensure AI literacy reaches all intended stakeholders, aligning top-down mandates with grassroots implementation[229-244].


Follow-up questions


* How do teachers across the broader Global South perceive AI adoption?


* What is the measurable impact of AI Samarth on learning outcomes and gap reduction?


* How effective are multilingual AI tools for language learning?


* What safeguards can prevent over-utilisation of AI-generated materials?


* Which pedagogical frameworks best protect critical thinking?


* What are the environmental implications of scaling AI in schools?


* How does AI-mediated politeness affect classroom dynamics?


These insights collectively map a roadmap for scaling AI literacy in India and the Global South: align curriculum design with universal foundations and role-specific skilling; invest in teacher-training that balances hope and fear while fostering safe, ethical practice; leverage AI’s personalisation and multilingual strengths to reach underserved learners; and embed robust validation, governance and policy mechanisms to ensure equitable, responsible adoption, thereby advancing the summit’s overarching goal of inclusive AI education for the Global South.


Session transcriptComplete transcript of the session
Speaker 1

Good evening everyone it is indeed a pleasure to be here and thank you to the NDIA mission and the NDIA summit for acknowledging this as an important topic to include within the panel discussions scheduled during the NDIA summit I also would like to thank the panel for the summit, so maybe we should just close with a bang, and I see Bhanu sitting with five women, so good luck to them. But I am here on behalf of the Central Square Foundation. Central Square Foundation is a philanthropy working in school education in India, and one of the focus areas for us is edtech. And now that edtech is getting powered with AI, it becomes very important for us to ensure that we impart AI literacy to every student, parent, and child in India, so they are able to become active contributors to AI rather than just being passive recipients.

And that is the fundamental premise of this discussion. CSF has been working on a program, a large -scale program on AI literacy called AI Summit, and this is the first program with a curriculum for AI literacy that has been built in partnership with the Wadwan, the Wadwani School of AI, which is also represented on this panel. So with that I will hand over to Bhanu to take the proceedings forward. Thank you.

Bhanu Potta

Thank you Gauri. Good evening everybody. Like Gauri said we are in the last few panels of the summit and I have the distinguished privilege of moderating four stalwart women in the education space. I don’t think there’s any other, all other panels were the other way around where there were a lot of men and very few women. So it’s my privilege to moderate all of you. I will try to keep it as collogical as possible but you can also trouble yourself between with questions and stuff. So today’s dialogue is really about building futures through AI literacy for India and the Global South. AI is already in our hands. It’s in our phones, it is in our homes, it is in our classrooms whether we like it or not.

The conversation today is really about what features, futures do we want to build of the… tool which is coming into our hands, right? I think the discussion about should AI be in the classroom or should AI be a learning tool is already passed. It is going to be there and it is for us to figure out how to use it productively, right? So with that as a backdrop, we will move forward into the conversation and quickly talk about each one of you here. Shabana, senior project scientist from the Vardhani School of Data Science and AI, IIT Madras. Ramya, we all know Ramya, CENTA and a lot of other things as well before that. Tanushree, co -founder and CEO of Transform Schools and Chitra, founder of Chrysalis, right?

I would actually start the conversation with Shabana putting you on the spot, right? So your journey really in computer science really started with the trigger with your 11th grade computer science teacher. part in you in the classroom, right? In a rural school in the backwaters of Kerala, right? Nice place to be there. But from that time to now the role which you play as a post -PhD fellow in IT Madras, working in the ed tech space with all the things you do in AI, both on the usage side, design side, and the regulatory side, I would really like to ask you what, according to you, are the transformative bets AI can bring in

Dr. Shabana Bhattacharya

Okay. So if you want to analyze the transformative bets, the major transformation that AI can bring into the classroom, I feel that we should look at the impact that AI has on the key stakeholders in education, namely the students, the teachers, parents, and the education bodies and organizations at large. So if you look at learners, I think the biggest value add is in terms of personalization, right? Because research has already shown that one -on -one human tutoring results in better learning gains as compared to a traditional classroom -based learning. But we know that in India and also across the global south, the student -teacher ratios are quite large, which actually prevents personalization from happening. So this was the case before, but with AI in picture, this can change, and in fact this is changing.

Because AI can help students with personalized learning in terms of customized lessons that is tailored according to the student’s specific conceptual gaps or misconceptions. Or AI can also suggest tailored learning pathways. It can also provide individualized assessments and also tailored feedback pertaining to the performance of the students in the assessments. So that way AI can play a big role in adding quality to the learning process of the students, which definitely helps in bettering. So this was the case before, but with AI in picture, So this was the case before, but with AI in picture, this can change, and in fact this is changing. this can change, and in fact this is changing. this can change, and in fact this is changing.

Now coming to teachers, again, so we always say that, you know, AI is not going to replace teachers, but it is going to be a better assistant. Its role is going to be an assistant, which can help in better productivity, teaching productivity, as well as the quality of pedagogy is what it brings onto the table. So, for example, teachers can use AI -based tools to create better lesson plans, to run diagnostic tests that can help inform the misconceptions or learning gaps for students in the class and tailor instructions based on that. It can help in, you know, kind of producing required kind of assessments and also even evaluating them. So that way, the value add is in terms of improved productivity and also informed pedagogy.

And so another significant transformation that AI brings is that it lowers the barrier to quality education, especially for the underserved classes. So with the voice -based capabilities and the multilingual. capabilities of AI. Now, quality learning content is available in regional languages to learners, which in fact, you know, not only affects the teachers and learners, but it also affects the parents, in the sense that now parents can have a more engaged contribution to their child’s learning. So that way, it opens a lot of opportunities. And now coming to educational bodies or organizations at large, so we know that data is collected across multiple points. Including assessments, attendance systems, and program implementations, etc. Now with AI, it is possible to collect all of these data points, combine and analyze them to give actionable insights, such as, you know, identifying risks of dropouts, identifying high risk students, perform better resource planning, etc.

So that way, AI is already transforming education in a big way. And it is going to be, it has a lot of potential to, you know, play a greater role in education as a whole. now so this kind of emphasizes the need for AI literacy because you know AI is already a part of classroom and all the stakeholders are kind of already interacting with AI so there is the need for the for everybody right not just the students or teachers but even parents and generally for people to have a better understanding of the AI concepts how these tools work in order to use them responsibly

Bhanu Potta

thank you so I hear three things you said stakeholders student teacher and maybe even the parent like a teacher and the second thing you said is that getting AI to the last child in our population which is equity and accessibility the third thing which you said is for all the use cases which you talked about to be utilized there has to be AI education in the form of where it is right that brings us to the stakeholders, right? So Tanushree, you across the last seven plus years have impacted over 30 million students, right? So my question to you is, from the government school systems point of view, and when you go on the ground to students, right, especially the government schools primarily, right?

How are they responding to AI in and around them in the classrooms, be it at homes or wherever they’re interacting? What are you seeing on the ground?

Tanushree Narain Sharma

Thanks. Thanks for that question. And thank you for inviting transfer schools on this panel. So I think in past seven years, with our experience of working with the government schools, and as an organization, we work on improving learning and life outcomes. But with the program, which is AI Samarth, we have seen one emerging thing, that a child is able to learn and learn. And that is, we have seen that a child is able to learn and learn. And that is, we have seen that a child is able to learn and learn. And that is, we have seen that a child is able to learn and learn. And that is, we have seen that a child and learn.

And that is, we have seen that a child is able to learn and learn. And that is, we have seen that a child is able to learn and learn. And that is, we have seen that a child is able to learn and learn. And that is, we have seen that a child is able to learn and learn. And that is, we have seen that a child is able to learn and learn. And that is, we have seen that a child is able to learn and learn. And that is, we have And I have two great examples to share from our home state, which is Odisha. It’s from the class nine. They’re both from the class nine grades.

One, there’s a girl whose name is Shraddha. And so she, when we asked her that, you know, how’s her experience in a class where she’s getting these lessons from AI, Samarth. So she said that I used to use AI tool as something, you know, just in a fun way. But now I’m able to cross check my difficult subjects or the topics. And if I’m still facing any difficulties, I’m able to go back to my teachers and cross check again. So she’s using AI as a companion as well. So what I see here is that curiosity is converging. Converted into confidence. That is one big thing. There’s another child whose name is Poonam. she said that for us when we saw AI around us everybody was the AI was a buzzword you know we were everybody was talking about it but it was for all entertainment because we were saying that okay you can you can gamify it you can make a cartoon movie about it all of that but when I see AI now is that I can get my project ideas from it I can actually you know do my preparation from it so and it is very useful to see that because they are the first generation learners in a government school so it’s it’s a great I would say pleasure to see that happening in a government school and I mean AI with AI Samarth we are reaching the end of the world and we are reaching the end of the world and we are reaching the end of the world and we are reaching the end of the world and we are reaching the end of the world and we are reaching the end of the world and we are reaching the end of the world and we are talking about point talking about point talking about point nine million students in all and what we nine million students in all and what we nine million students in all and what we have seen as a pattern overall is three things.

One, which I mentioned earlier, is curiosity converting into confidence. Second, that AI is able to support learning, sorry, language, improving into languages. And second, reducing the learning gaps students have. And third is, which is the most important thing which AI Samarth does, is that teaching them about the ethics, the biases, and therefore it’s a responsible engagement. So that’s the

Bhanu Potta

Thanks, Tanushree. It’s lovely that you talk about the story of Shraddha and Poonam.

Tanushree Narain Sharma

Thank you.

Bhanu Potta

the journey from curiosity to confidence. And along the journey, being able to use digital tools in the form of AI and exercise their agency as a learner and not lose it.

Tanushree Narain Sharma

That’s correct.

Bhanu Potta

So that’s a beautiful story. And I think, you know, 0 .9 million Shraddhas and Poonams.

Tanushree Narain Sharma

Yes.

Bhanu Potta

Thank you. And onward, upward and onward. And more than that, right? So that moves me to another dimension, right? So, Chitra, you’ve been, you founded Chrysalis over 25 years back. And you founded it out of the pain of being a mother of two daughters and their disillusionment in the school system at that point in time.

Chitra Ravi

My disillusionment.

Bhanu Potta

Your disillusionment. They were too young to be disillusioned. And the interesting connection here is that you actually started off as a full stack ICT curriculum embed provider from grade 1 to grade 12 for CBN. and you have seen that whole wave, right? And we still have over 40 % of our classrooms which still don’t have computer labs. And now you’re at the start of another wave with AI, right? So I think you’re looking at the second wave in your own journey, Chrysalis, you and your team and other people working with you, right? So my question to you is how are teachers in the government schools and the low -fee private schools in particular, not the middle and upper, but the low -fee private schools, today, you know, transacting around integrating AI into their life, work, and fun?

Chitra Ravi

Yeah, thank you, Bhanu. That is a very important question to be thinking about. And I can speak from a pre -AI Samarth and a post -AI Samarth point of view. So very grateful to CSF and everybody who’s, you know, really pushed us into this wave with a very… Very, very… purposeful and meaningful work, and it’s giving us a lot of insights into this community of teachers and students. So if you look at preparedness when we entered, and I think we are now close to 200 ,000 students that we will be, you know, who would have been exposed to AI literacy, we are talking about the preparedness being, I look at preparedness from two points of view. One is awareness about AI, the skill sets, or whatever it means to handle a tool.

And the other is, I think, the sentiment and mindset that every teacher or every student has, right? So from an awareness point of view, again, the spectrum is, I don’t even, I just hear this buzzword, and I don’t even want to go near it on one side. And on the other side, yeah, I’m dabbling with it all the time on my WhatsApp. I know it. And then there’s always this confusion between the thin line that AI and, you know, an algorithmic. provides. So I think AI Samad has really empowered them on certain skill sets that has gotten them to understand what is AI and how I can be putting that to use. That’s from a skill set point of view.

But for me, I think more interesting is the sentiment and mindset point of view. If you look at that, it’s a spectrum between hope and fear. And hope leading to over, you know, stimulation, right? And fear, resistance and not really getting there. So I think that’s a very important spectrum. And I think a program like AI literacy and Samad kind of brings in an equilibrium. I think that’s very important because, and I completely, you know, I can relate to what Tanushree was saying, we see so many children and so many teachers who are now us, hey, you know what? I thought everything was bad about AI. Like I was so fearful. I thought it’s going to replace me as a teacher.

I now understand that if I hold the agency and I know what is what, and it’s not rocket science. I think that’s the first demystifying thing, right? I mean, it’s not anything that I cannot be conversant with. And we are talking about government teachers, affordable private school teachers who have found a confidence like she was mentioning. And that has made them approach AI in a very purposeful way, right? They are integrating it. I think the way we built the curriculum, thanks to the Wadwani school and CSF, and we’ve also made some meaningful contribution to that curriculum and content development. We are seeing that the use cases we build in, there is a very, very high relevance to what the teacher is doing, which is very important.

It’s not just literacy about what is what. but how it can be purposefully used by the teacher. So that’s a big winner for us. The second, when it comes to sentiments, we’ve heard children, actually children and teachers in particular, tell us that, you know, I had a negative approach and today I walk in with so much positivity. I know this can be engaging. This can be purposefully done. And even that over, I don’t know what to call it, but I think over -utilization, you know, where they would just generate lesson plans because somebody asked the coordinator or the, you know, educational officer asked them. They just go and dabble with the LLM, CHAP, GPTA and then churn out lesson plans, not even knowing what to validate, how to validate.

And that has also been kind of equalized. So I think it’s a beautiful, in my opinion, an equalizer. And of course, over a period of time, it will become a leveler. I look at it from that point of view. And there’s much more. work to be done, but I think it’s a beautiful start where there are so many positive stories in the field that’s giving us a lot of hope. I think even for players like us, you know, organizations like us, I wouldn’t say we were not in that spectrum between hope and fear. It’s not only about the teachers. We are all in this phase of, you know, is it going to be the thing tomorrow or is it going to be, you know, what is our position in this world?

And I think this is kind of now getting to some equilibrium. That’s what I would say.

Bhanu Potta

What I hear you say is that, you know, tens of thousands of teachers are finding their balance in the classroom with confidence and agency, right? And I think that’s a good state to be in. And we have a lot more work to do. India is a big country and Global South is even bigger, right? That brings me to Tanushree. Sorry, Ramya. So Ramya, your journey really started off with the time you spent in McKinsey and you are actually kind of bootstrap the education practice for this region in McKinsey. And then from that horizontal view, you actually became a falcon and then you dove into teachers and the problem of teachers and there comes CENTA, right?

So over the past few years, like 11 years in CENTA, from across 100 countries, 100 plus countries, teachers have engaged with you. And now you’re at a place where you’re seeing AI come into the mix, right? So I would ask you to kind of be that falcon, fly back out of India and look at the global south and kind of talk about what are you seeing, what are you hearing from teachers in AI, not just from India and what you’re doing with AI but also in other countries where there isn’t any such thing happening.

Ramya Venkataraman

I mean like in a remote part of Jharkhand we’ve had a teacher saying that I was worried that my students are getting into this world faster than I am and now with this literacy I’m able to catch up with my students which is a very nice thing of her to say but those are some of the perspectives to start with I don’t know if I answered because I was not sure what I was supposed to do as a falcon coming out

Bhanu Potta

Thank you, thank you Ramya I think good conversations, three things to pick right, one is the stakeholders being touched and their journey from curiosity to confidence for some actors and then for a lot of other actors finding the balance between the hope and fear spectrum, right, so I would like to kind of take the conversation a little bit down into the implementation and design of all of what we’re working, right, I mean that’s where the rubber really meets the road right, so I would go back to Dr. Shabana and Shabana you have been a part of the curriculum design and the curriculum review and the endless debates of how should we help a rural school student in Orissa understand computer vision and what metaphor would we use that and those are fascinating conversations we had in those times.

But now looking back at the journey and looking back at what we’re hearing from the field, not just ASM, but there are a lot of other literacy programs happening. But I would really like you to kind of, you know, focus a little bit on moving towards what is it that you would like to see in the design, which kind of ensures ethical judgment and critical thinking among all the stakeholders, the child as well as the teacher.

Dr. Shabana Bhattacharya

Dr. Shabana Bhattacharya Okay. So first, I think we should start with the child. Dr. Shabana Bhattacharya Yes. so when we look at the available AI literacy curriculums around the world we see that many of them deal with foundational AI literacy along with AI skilling but AI skilling is more about how to practically use AI which is more role or context dependent so for example AI skill for a software engineer could be different from what AI skilling would be for a teacher but AI literacy refers to the foundational set of AI concepts that is kind of universal that is something that everybody should know about so as a part of the AI Samad curriculum so we collaborated together the Badwani school and CSF collaborated together to come up with a wonderful curriculum which I feel is like very grounded and it kind of focuses on the key AI foundational concepts that everybody should be aware of and later you could build on top of it to do further skilling which is more tailored towards each role So to talk about the AI Samarth curriculum, we have four key pillars.

The first being understanding what is AI and what are the applications of AI, like looking at, you know, the everyday applications and identifying the AI component, because we all interact with AI in some form or the other without realizing that, you know, it is a form of intelligence that we are interacting with. So understanding that is very important. Understanding what is AI is important. And, you know, also, you know, kind of having an awareness about some of the key technical aspects, like what is data? What is the role of data in training an AI system? And, you know, about vision, about NLP. So these are the basic AI concepts, the technical concepts that, you know, students and teachers and universally everybody should be aware of.

And then once we have an idea about the software. The role of data in training AI systems, that naturally leads us to understand about the societal impacts, the environmental impacts, et cetera. So, for example, so we. we know about the issues of bias and fairness in AI systems, right? So we know that, okay, an AI system is trained based on the data. So depending upon the kind of data that was used to train the systems, we can have, you know, these issues. And these arise whenever the systems are used in practice. So the third pillar is definitely about the societal impact, the environmental impacts, what happens when we require the computations at scale. And finally, about how to practically interact with these systems, right?

How to write effective prompts, because we all interact with, almost all of us interact with generative AI tools such as the chat GPT, right? So then how to actually frame an effective prompt to get the desired result. So that is also very important. So I feel that these kind of cover the basic fundamental AI concepts that is universal, that everybody should be aware of,

Bhanu Potta

So just one more. One minute on. how do we in all of this safeguard critical thinking

Dr. Shabana Bhattacharya

okay so coming to critical thinking so so when we know that an AI system is trained using data we know that you know the kind of research that we would get on a query would depend on the kind of data that the system has seen so which would make a student or a teacher or any user you know be vigilant about using the AI the the results from the AI tools directly so we have to be careful about double -checking cross -checking with valid sources and not trusting the result you know directly and also coming to the critical thinking part it is more about you know not over relying on AI tools and using your judgment to kind of validate the results to verify like I said with verified sources whether the results are you know valid or not so which is also important

Bhanu Potta

I think just correcting all the results is a very important thing to do and I think on that there was also a lot of exercise which was done across the curriculum to sprinkle various good ways of using AI where we basically kind of said it’s not about asking the AI for the answer but actually doing your own exercise and submitting your answer and then asking AI to review and improve which is that critical thinking loop which we reinforced across multiple places. So I’d move forward a little bit to Chitra now. So Chitra, I would like to take you down into a teacher training scenario where your team has trained a lot of teachers on AI literacy via the curriculum and then they were cascading forward, right?

So at that level, right, what is it that you and your team have done in terms of building confidence for the teachers who are in the training program to carry that back into their classrooms and deliver it to the children?

Chitra Ravi

I think we… always believed that teacher training is more about building an emotionally safe environment whatever topic we are training teachers on and with AI the hope and fear spectrum, this becomes even more relevant. So I think both in the curriculum the way we’ve done it and in the way we facilitate and train the teachers

Bhanu Potta

Namaste Krishnan ji Pleasure to have you here We welcome Shri Krishnan ji from MIT Thank you for joining us today sir

Chitra Ravi

Chitra So I think we definitely need to look at how the confidence is built. In a light hearted way I also want to say a lot of teachers have now started saying we are becoming more polite and classroom Any other questions? idea why? It’s nothing to do with the training but to do with LLMs. Because chat GPT always tells them, hey, you’ve asked a brilliant question. So that is becoming contagious. And the teachers are today like, you know, we’ve seen that happen. So that is why I wanted to bring that was there is a lot of role modeling that happens when there is a cascading, right? And I’m simply saying an LLM cascading also is bringing that politeness.

I hope we don’t become artificially polite, but then I’m hoping that some of these things rubs off in the language of teachers. So I think that hope and confidence is what trainers are modeling. And that I think is being carried on by the teachers when they do the cascading to those students. And one other thing in the literacy, I mean the Samarth model, I feel is the capacity we are building in the teachers is actually strong because there is the responsibility of the teacher to go back and train the teacher. And see, they are all teachers. You know, when we analyze why teachers resist training, it’s because they think that they are the deliverers and then to receive becomes difficult for us.

So I think I love this AI Samarth model, the literacy model we have built, thanks to CSF and, you know, the whole think tank there, is that yes, I’m going to learn and some of us are actually going to translate it to the students. And so that rub off is really, really working well. So I think the preparedness or I would say the teachers are very gently handling this whole thing because for them it is a new topic. It’s not like I’ve done math teaching for 25 years and I’ve found all my children getting into IIT and all of that. This is a new topic, this is a new skill, and they are very, very careful when they are doing it.

So there’s a lot of deep respect that they have in terms of translating this into their own training, Banu. So I think in many ways this has been an eye -opener into how usual teacher training and how this AI literacy teacher training is bringing very new insights into how teacher training can happen. So I think that’s very, very critical.

Bhanu Potta

Thank you, Chitra. We would now request Shri Krishnanji to kind of address us, Secretary Mighty.

Shri S. Krishnan

I’m sorry to literally photobomb this session. It was not my intention. Ram is a very old friend. And when she asked if I could stop by, I just thought I would. Primarily, more than anything else, to thank all of you for participating. in probably a historic summit, one that finally democratized AI. In that sense, I think what we have managed to do is to actually bring people into the room. And more than even people, we have managed to bring people’s concerns into the room. And I think it’s very fitting that we are talking about education today, which is so critical in every sense of the word. Partly because I think if we have to achieve anything we need to achieve, we need people to do it and people who have the skills and who have the abilities and who have the competencies to actually do what needs to be done with technology and make sure that it works for them and make sure also that they’re able to participate and they’re able to actually take advantage of it.

The other part of it is, of course, while we are making them capable, to what extent can we use technology? I think it’s nobody’s case that we have enough teachers or teachers’ assistants or we have the kind of technology that we need. We need the kind of resources. we want for education. If technology helps us to multiply that rather than substitute it and if technology helps us to actually enable our teachers to deliver better, nothing like it. And I think those are the kind of applications that we seriously need to look for. The Expo is replete with those examples. Incidentally it’s open tomorrow and it’s extended up to 8pm today so if you haven’t gone and taken a look at it, let me make a pitch.

Please do go take a look. I think a huge number of social applications of what technology can do and how it can work for people. I think all of that is something which would interest many of you but more than anything else I’m not an expert on education and I would be the last one to suggest that we should, I mean this is a silver bullet and it will solve all the problems. It may, it may not. But I think we need to sort of experiment. with it but more than anything else I think one thing I do know that students of all ages and students in all disciplines need to be aware of the potential of the technology and see what it can do for them and I that in itself I think would be significant the government of India has already made a policy call that they would teach about AI from class three onwards and I’m sure that many states would also do the same thing and that would form part of the curriculum and likewise in practically every institute or every university I think AI needs to be taught across all disciplines I mean not necessarily only to the computer science people in the IITs but to just about everybody because again the jobs in AI are not just of the guys who build the models I mean those are the nerdy PhDs there are probably about 300 of them across the world who’ll do it the rest of us are not going to do that the rest of us are not going to be Sam Altman or Peria Amadei or Dennis none of those I mean, all of them we saw yesterday.

The rest of us are going to be more journeymen, more people who will actually figure out ways in which this technology will affect us so that people need to know, people need to understand, even in an area like art history, what is it that the technology can do to their own discipline and how they can sort of leverage it. So if the Central Scale Foundation and educationists and everybody focuses on this area and is able to actually train the next generation to do this, train the next generation to figure out what jobs can work for them, that’s going to make all the difference. I or none of us are in an age group where, I mean, Rom and I are probably about, we are contemporaries, so we are too gray and too old now for this to make a huge difference for us.

But this is a technology for the next generation, and they should not be lost in this. And that is something which, I think we need to keep a sense of what is going on. to the message and the whole message of this summit is inclusion and bringing everyone in and we have to also ensure through the education process that no one is left behind so thank you very much for having me and i wish you all the best again a plug for the expo try and take a look and thank you all for joining us here today thanks thank you you you

Related ResourcesKnowledge base sources related to the discussion topics (34)
Factual NotesClaims verified against the Diplo knowledge base (5)
Confirmedhigh

“Speaker 1 introduced the Central Square Foundation (CSF), a philanthropy focused on school education and ed‑tech in India.”

The knowledge base lists Speaker 1 as a Central Square Foundation representative, confirming CSF’s role as a philanthropy working on school education and educational technology in India [S2].

Confirmedhigh

“Moderator Bhanu Potta highlighted the gender balance of the panel, noting previous panels had been male‑dominated and that she was moderating four distinguished women in education.”

Gender-balanced panels are specifically highlighted in the knowledge base, which notes the importance of gender balance in such discussions [S107].

Additional Contextmedium

“AI is already embedded in phones, homes and classrooms, making the debate over whether AI should be in schools moot.”

The knowledge base remarks that AI is not limited to the classroom and is present in many everyday spaces, underscoring its pervasive integration beyond formal education settings [S18].

Additional Contexthigh

“AI’s greatest value for learners lies in personalisation – delivering customised lessons, tailored learning pathways, individualised assessments and feedback that can compensate for the high student‑teacher ratios typical of the Global South.”

AI is described as capable of providing personalised learning experiences tailored to individual students’ needs, pace and language, which is especially valuable for supporting overwhelmed teachers and high student-teacher ratios in the Global South [S66].

Additional Contextmedium

“AI will act as an assistant for teachers, enhancing productivity and pedagogy through tools that help design lesson plans, run diagnostic tests and generate and evaluate assessments.”

The knowledge base emphasizes the need for teachers to acquire AI literacy and professional development to effectively use AI tools in lesson planning, diagnostics and assessment, confirming the assistant role described [S15] and [S112].

External Sources (112)
S1
AI-Powered Chips and Skills Shaping Indias Next-Gen Workforce — -S. Krishnan- Role/Title: Secretary of METI (Ministry of Electronics and Information Technology)
S2
Empowering India & the Global South Through AI Literacy — -Shri S. Krishnan: Secretary, Ministry of Electronics and Information Technology (MeitY), Government of India
S3
Panel Discussion AI & Cybersecurity _ India AI Impact Summit — Sorry, could I make a quick announcement to have all the panelists and the speakers on the stage for a quick photo? Mr. …
S4
Empowering India & the Global South Through AI Literacy — – Bhanu Potta- Dr. Shabana Bhattacharya – Dr. Shabana Bhattacharya- Tanushree Narain Sharma- Bhanu Potta – Tanushree N…
S5
Empowering India & the Global South Through AI Literacy — – Dr. Shabana Bhattacharya- Tanushree Narain Sharma – Dr. Shabana Bhattacharya- Tanushree Narain Sharma- Bhanu Potta -…
S6
https://dig.watch/event/india-ai-impact-summit-2026/empowering-india-the-global-south-through-ai-literacy — And so another significant transformation that AI brings is that it lowers the barrier to quality education, especially …
S7
Empowering India & the Global South Through AI Literacy — Dr. Shabana Bhattacharya Okay. So first, I think we should start with the child. Dr. Shabana Bhattacharya Yes. so when …
S8
Empowering India & the Global South Through AI Literacy — – Dr. Shabana Bhattacharya- Chitra Ravi
S9
Empowering India & the Global South Through AI Literacy — -Ramya Venkataraman: Associated with CENTA; previously worked at McKinsey where she bootstrapped the education practice …
S10
https://dig.watch/event/india-ai-impact-summit-2026/empowering-india-the-global-south-through-ai-literacy — The conversation today is really about what features, futures do we want to build of the… tool which is coming into ou…
S11
Keynote-Martin Schroeter — -Speaker 1: Role/Title: Not specified, Area of expertise: Not specified (appears to be an event moderator or host introd…
S12
Responsible AI for Children Safe Playful and Empowering Learning — -Speaker 1: Role/title not specified – appears to be a student or child participant in educational videos/demonstrations…
S13
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Vijay Shekar Sharma Paytm — -Speaker 1: Role/Title: Not mentioned, Area of expertise: Not mentioned (appears to be an event host or moderator introd…
S14
We are the AI Generation — Doreen Bogdan Martin: Thank you. Good morning and welcome to Geneva for the AI for Good Global Summit 2025. I want to th…
S15
Driving Enterprise Impact Through Scalable AI Adoption — Yeah, I think I’m interested to hear your answer. But from my side, I think it’s a tool like a calculator. I think also …
S16
IGF 2024 Global Youth Summit — Umut Pajaro Velasquez: Okay. everyone on good day or good evening wherever you are. When it comes to decisions on how …
S17
Comprehensive Report: China’s AI Plus Economy Initiative – A Strategic Discussion on Artificial Intelligence Development and Implementation — Yeah, I think I just want to add some echo to Professor Gong’s comments. I think it’s not necessarily a negative effect,…
S18
Education meets AI — Additionally, the speakers emphasized the need for personalized learning and adaptive teaching methods. They discussed t…
S19
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…
S20
AI for Bharat’s Health_ Addressing a Billion Clinical Realities — “It can deal with multilinguality and voice.”[51]. “There’s firstly a lot of opportunity to bridge some of these inequit…
S21
Panel Discussion AI in Healthcare India AI Impact Summit — “One of the big barriers is multilingual.”[1]. “Maybe use cases, and I briefly hit on this before, but I think certainly…
S22
Building Public Interest AI Catalytic Funding for Equitable Compute Access — “computer capability collaboration connectivity compliance and context”[3]. “From these discussions, there were six foun…
S23
AI That Empowers Safety Growth and Social Inclusion in Action — “So we’ve engaged with member states and different stakeholders about their priorities, and let me bring to your attenti…
S24
AI and Human Connection: Navigating Trust and Reality in a Fragmented World — He advocates for always validating everything AI produces and encourages experimental use of AI technology to understand…
S25
WS #110 AI Innovation Responsible Development Ethical Imperatives — Ricardo Israel Robles Pelayo: Thank you very much. Good afternoon, everyone. It is an honor to be here and share a refle…
S26
9821st meeting — Malta:Thank you, President. I begin by thanking you for convening and chairing this high-level briefing on this highly t…
S27
Operationalizing data free flow with trust | IGF 2023 WS #197 — Addressing these challenges requires collaboration between policymakers and stakeholders. Working together, we can devel…
S28
Leaders TalkX: Ethical Dimensions of the Information Society — An ethical framework must incorporate diverse cultural insights and encourage participation from all societal sectors. T…
S29
WSIS Action Lines C4 and C7:E-employment: Emerging technologies in the world of work: Addressing challenges through digital skills — Structured frameworks are essential for defining what AI literacy means and how it should be implemented in educational …
S30
Open Forum #58 Collaborating for Trustworthy AI an Oecd Toolkit and Spotlight on AI in Government — ### Country Experiences and Perspectives ### Country Implementation Examples **India – Community-Driven Development** …
S31
AI for Safer Workplaces & Smarter Industries Transforming Risk into Real-Time Intelligence — Piyush advocates for a shift from traditional learning-focused education to one that emphasizes creation and practical a…
S32
AI (and) education: Convergences between Chinese and European pedagogical practices — ### Critical Thinking and Human-Centered Skills Norman Sze: Thank you for introduction. It’s my honor to join this foru…
S33
Artificial General Intelligence and the Future of Responsible Governance — Satunas highlights that education and public critical‑thinking skills are as essential as compute investments for prepar…
S34
Artificial intelligence (AI) and cyber diplomacy — The conversation expanded to highlight the universal need for digital literacy and capacity building in AI, urging gover…
S35
Policy Network on Artificial Intelligence | IGF 2023 — The importance of providing education to a diverse range of demographics, from school children to the elderly, was also …
S36
Building Scalable AI Through Global South Partnerships — And the third key aspect is putting humans at the center of this process to make sure that this is a technology that wor…
S37
Democratizing AI: Open foundations and shared resources for global impact — The speakers called for international participation in their initiatives, mentioning online forums and collaboration opp…
S38
Open Forum: A Primer on AI — In summary, the widespread adoption of AI presents opportunities and challenges. While it can boost equality, address cl…
S39
Inclusive AI For A Better World, Through Cross-Cultural And Multi-Generational Dialogue — Key to this trajectory are collaborative and inclusive policy governance, culturally attuned ethical frameworks, and bro…
S40
WSIS Action Lines C4 and C7:E-employment: Emerging technologies in the world of work: Addressing challenges through digital skills — The strong consensus on key principles—particularly the need for partnerships, human-centred AI integration, and adaptiv…
S41
Leveraging AI to Support Gender Inclusivity | IGF 2023 WS #235 — Another important point emphasized in the analysis is the significance of involving users and technical experts in the p…
S42
Empowering India & the Global South Through AI Literacy — One, which I mentioned earlier, is curiosity converting into confidence. Second, that AI is able to support learning, so…
S43
Education, Inclusion, Literacy: Musts for Positive AI Future | IGF 2023 Launch / Award Event #27 — A focus for education should be familiarity with media and information so that people don’t have the feeling there’s a h…
S44
How to ensure cultural and linguistic diversity in the digital and AI worlds? — Xianhong Hu:Thank you very much Mr. Ambassador. Good morning everyone. First of all please allow me, I’d like to be able…
S45
AI (and) education: Convergences between Chinese and European pedagogical practices — Norman Sze: Thank you for introduction. It’s my honor to join this forum and share insight from perspective of professio…
S46
Developing capacities for bottom-up AI in the Global South: What role for the international community? — **Amandeep Singh Gill**, UN Tech Envoy, provided the institutional perspective and outlined the Secretary-General’s upco…
S47
Open Forum #76 Digital Literacy As a Precondition for Achieving Universal a — Policymakers should adopt a tiered approach that starts with foundational skills through community-based programs and pr…
S48
AI for Social Empowerment_ Driving Change and Inclusion — Education and Skills System Overhaul:Investment requires fundamental reimagining rather than incremental improvement. Cu…
S49
Education meets AI — Another important point highlighted is the need for research and investment in education, similar to the approach taken …
S50
Why apprenticeship and storytelling are the future of learning in the AI Era — AI, through approaches such as apprenticeship models and storytelling, can help swing the ‘learning pendulum’ back. It c…
S51
WS #110 AI Innovation Responsible Development Ethical Imperatives — Ricardo Israel Robles Pelayo: Thank you very much. Good afternoon, everyone. It is an honor to be here and share a refle…
S52
WS #288 An AI Policy Research Roadmap for Evidence-Based AI Policy — The roadmap is built upon core principles including “human and planetary welfare, accountability and transparency, inclu…
S53
Open Forum #33 Building an International AI Cooperation Ecosystem — Ricardo Pelayo: Hi, good afternoon. It’s an honor to share with you this reflection on building an ecosystem of innovati…
S54
Keynote ‘I’ to the Power of AI An 8-Year-Old on Aspiring India Impacting the World — “Thanks to the full stack AI sovereign model now in place, Sarvam AI, I’m able to translate my book into 22 different In…
S56
Open Forum #17 AI Regulation Insights From Parliaments — AI governance requires ongoing education for all stakeholders – politicians, policymakers, and the general public. This …
S57
AI for Good Impact Initiative — Education sector needs proactive involvement from all stakeholders
S58
AI & Child Rights: Implementing UNICEF Policy Guidance | IGF 2023 WS #469 — Joy Nakhayenze:Thank you. The most important aspect for us is the funding of such projects. First, the government should…
S59
Pre 8: IGF Youth Track: AI empowering education through dialogue to implementation – Follow-up to the AI Action Summit declaration from youth — Multi-stakeholder approach must include all education stakeholders from design phase, especially youth, teachers, and pa…
S60
WS #214 AI Readiness in Africa in a Shifting Geopolitical Landscape — ### Infrastructure and Capacity Constraints Despite progress in policy development, the question of how to operationali…
S61
WS #294 AI Sandboxes Responsible Innovation in Developing Countries — Jai Ganesh Udayasankaran: Thanks, Sophie. I just wanted to quickly add what was shared by the speaker from data sphere. …
S62
AI Impact Summit 2026: Global Ministerial Discussions on Inclusive AI Development — And that’s what we’re doing. And that’s what we’re doing. And that’s what we’re doing. And that’s what we’re doing. prio…
S63
Building the Next Wave of AI_ Responsible Frameworks & Standards — What is interesting is India is uniquely positioned in this global AI discourse. Most global AI frameworks are designed …
S64
Education, Inclusion, Literacy: Musts for Positive AI Future | IGF 2023 Launch / Award Event #27 — Despite the concerns raised, chat GPT emerges as a promising tool for learning. It has the potential to save time by gen…
S65
IGF 2024 Global Youth Summit — AI has the potential to tailor education to each student’s specific requirements. This personalization can enhance the l…
S66
High Level Session 3: AI & the Future of Work — Education and Skills Development Moorosi argues that AI can address educational challenges by providing personalized le…
S67
Responsible AI for Children Safe Playful and Empowering Learning — All right, colleagues, we need to come to a close because people need to move to the next session. We’re designing for s…
S68
Empowering India & the Global South Through AI Literacy — I hope we don’t become artificially polite, but then I’m hoping that some of these things rubs off in the language of te…
S69
Launch / Award Event #52 Intelligent Society Development & Governance Research — Development | Sociocultural | Online education The research documents real-world applications of AI across multiple sec…
S70
https://dig.watch/event/india-ai-impact-summit-2026/empowering-india-the-global-south-through-ai-literacy — One, which I mentioned earlier, is curiosity converting into confidence. Second, that AI is able to support learning, so…
S71
Education meets AI — In conclusion, the analysis provides a comprehensive overview of the key points related to digital and AI skills in educ…
S72
AI for Safer Workplaces & Smarter Industries Transforming Risk into Real-Time Intelligence — Piyush advocates for a shift from traditional learning-focused education to one that emphasizes creation and practical a…
S73
AI (and) education: Convergences between Chinese and European pedagogical practices — ### Critical Thinking and Human-Centered Skills Norman Sze: Thank you for introduction. It’s my honor to join this foru…
S74
WS #232 Innovative Approaches to Teaching AI Fairness & Governance — Tayma argues that educators need to adapt their teaching goals in the AI era. She suggests focusing on developing critic…
S75
Artificial General Intelligence and the Future of Responsible Governance — Satunas highlights that education and public critical‑thinking skills are as essential as compute investments for prepar…
S76
Driving Enterprise Impact Through Scalable AI Adoption — Educational institutions need to adapt curricula to emphasize critical thinking, question-asking, and evaluation skills …
S77
From principles to practice: Governing advanced AI in action — Multi-signal approach, both at the national and the global level, to ensure that no one will be left behind
S78
Comprehensive Report: China’s AI Plus Economy Initiative – A Strategic Discussion on Artificial Intelligence Development and Implementation — This comment expanded the education discussion beyond formal systems to include organic, curiosity-driven learning. It r…
S79
Building Scalable AI Through Global South Partnerships — And the third key aspect is putting humans at the center of this process to make sure that this is a technology that wor…
S80
WS #100 Integrating the Global South in Global AI Governance — Jill: Thank you, for the opportunity and also for the question, by the way. So, IEEE, as you say, is a standards organi…
S81
Defying Cognitive Atrophy in the Age of AI: A World Economic Forum Stakeholder Dialogue — The discussion began with a cautiously optimistic tone, acknowledging both opportunities and risks. However, the tone be…
S82
Opening address of the co-chairs of the AI Governance Dialogue — The tone is consistently formal, diplomatic, and optimistic throughout. It maintains a ceremonial quality appropriate fo…
S83
Opening — The overall tone was formal yet optimistic. Speakers acknowledged the serious challenges posed by rapid technological ch…
S84
How Multilingual AI Bridges the Gap to Inclusive Access — The tone was consistently collaborative, optimistic, and mission-driven throughout the conversation. Speakers demonstrat…
S85
Empowering education through connectivity ( Giga – UNICEF and ITU joint initiative) — Cooperation and partnerships between international organizations were commended, with one speaker referring to a project…
S86
Fostering hybrid curriculum for inclusive learning environments — The COVID-19 pandemic precipitated a significant educational crisis, resulting in the unprecedented closure of schools g…
S87
How to believe in the future? — This provides an opportunity for authentic, credible impact stories
S88
Open Forum #68 WSIS+20 Review and SDGs: A Collaborative Global Dialogue — This reframing is profound because it shifts the evaluation criteria from policy rhetoric to tangible human impact. The …
S89
Engineering Accountable AI Agents in a Global Arms Race: A Panel Discussion Report — The discussion maintained a thoughtful but somewhat cautious tone throughout, with speakers acknowledging both opportuni…
S90
Webinar session — The discussion maintained a diplomatic and constructive tone throughout, with participants demonstrating nuanced thinkin…
S91
Strengthening Corporate Accountability on Inclusive, Trustworthy, and Rights-based Approach to Ethical Digital Transformation — The discussion maintained a professional, collaborative tone throughout, with speakers demonstrating expertise while ack…
S92
Ensuring Safe AI_ Monitoring Agents to Bridge the Global Assurance Gap — The tone was collaborative and solution-oriented throughout, with participants acknowledging both the urgency and comple…
S93
When Code and Creativity Collide: AI’s Transformation of Music and Creative Expression — The tone was thoughtful and forward-looking, with both speakers showing cautious optimism rather than fear. Harvey Mason…
S94
Welfare for All Ensuring Equitable AI in the Worlds Democracies — The conversation maintained an optimistic and collaborative tone throughout, with participants sharing practical solutio…
S95
AI for Democracy_ Reimagining Governance in the Age of Intelligence — The discussion maintained a consistently thoughtful and cautiously optimistic tone throughout. Speakers acknowledged ser…
S96
Bridging the AI innovation gap — The tone is consistently inspirational and collaborative throughout. The speaker maintains an optimistic, forward-lookin…
S97
Safeguarding Children with Responsible AI — The discussion maintained a tone of “measured optimism” throughout. It began with urgency and concern (particularly in B…
S98
Session — – Stephanie: Participant mentioning civil society organizations Jovan Kurbalija: Thank you. Happy New Year. Good. L…
S99
Artificial intelligence (AI) – UN Security Council — The global focus on Artificial Intelligence (AI) capacity-building efforts has been a significant topic of discussion am…
S100
Powering AI Global Leaders Session AI Impact Summit India — “And, you know, this is literacy in the sense of, you know, reading and writing and arithmetic and AI literacy.”[33]. “S…
S101
Fireside Chat Intel Tata Electronics CDAC & Asia Group _ India AI Impact Summit — “And then there will be a mass -scale deployment of AI across the board.”[6]. “that will make a large scale impact on th…
S102
Responsible AI in India Leadership Ethics & Global Impact part1_2 — The tone was professional, collaborative, and pragmatically optimistic throughout. Speakers maintained a solution-orient…
S103
Building Indias Digital and Industrial Future with AI — The discussion maintained a collaborative and forward-looking tone throughout, with industry experts, regulators, and po…
S104
How the Global South Is Accelerating AI Adoption_ Finance Sector Insights — The tone was consistently optimistic and collaborative throughout the discussion. Panelists demonstrated mutual respect …
S105
AI in schools: The reality is messier than the solutions — As the school year is in full swing, the issue of AI in schools and education keeps coming up everywhere. Teachers share…
S106
Knowledge in the Age of AI: World Economic Forum Town Hall Discussion — And so it certainly should exist as part of the classroom and as part of schooling. But like I said, it can become a cru…
S107
Digital Public Infrastructure, Policy Harmonisation, and Digital Cooperation – AI, Data Governance,and Innovation for Development — The discussion was moderated by Chris Odu and featured panellists including Binty Mansaray (digital security auditor), A…
S108
Celebrating 20 Years of Multistakeholder Engagement: WSIS Forum, IGF, and the Road Ahead — Contri highlights the persistent gender imbalance in internet governance forums, noting that panels are still predominan…
S109
The WSIS welcome Part I: Meet the Movers Behind It — Noteworthy observations from the session included an acknowledgment of the gender imbalance on the panel, which was reco…
S110
Towards Parity in Power / DAVOS 2025 — Alicia Bárcena Ibarra: I mean, it was very difficult. Actually, she got the majority of votes, 35 million votes, whic…
S111
Teachers see AI as an educational tool — Teachers have longworriedabout ChatGPT enabling students to cheat, with its ability to produce essays and solve problems…
S112
Rethinking learning: Hope, solutions, and wisdom with AI in the classroom — But teachers need support. They need professional development around AI literacy, reasonable class sizes that allow for …
Speakers Analysis
Detailed breakdown of each speaker’s arguments and positions
S
Speaker 1
1 argument28 words per minute227 words479 seconds
Argument 1
AI literacy as a foundation for students, parents, and teachers to become active contributors rather than passive recipients (Speaker 1)
EXPLANATION
Speaker 1 stresses that as edtech becomes AI‑driven, every learner, parent and teacher must acquire AI literacy so they can shape and use the technology rather than merely consume it. This framing sets the premise for the whole discussion.
EVIDENCE
She explains that because edtech is now powered by AI, it is crucial to impart AI literacy to every student, parent, and child in India so they become active contributors instead of passive recipients [4].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The need to teach AI as a core tool and empower all stakeholders is echoed in discussions about AI as a calculator-like tool for education [S15] and the broader call for empowerment and equity in AI initiatives [S12]; foundational knowledge for future workforces is also highlighted in [S1].
MAJOR DISCUSSION POINT
Need for AI Literacy Across All Stakeholders
AGREED WITH
Dr. Shabana Bhattacharya
D
Dr. Shabana Bhattacharya
8 arguments169 words per minute1327 words470 seconds
Argument 1
AI is already embedded in classrooms; understanding its workings is essential for responsible use (Dr. Shabana Bhattacharya)
EXPLANATION
Dr Bhattacharya points out that AI is already present in everyday devices and learning environments, making it unavoidable for educators and learners. Therefore, understanding how AI works is a prerequisite for its responsible deployment.
EVIDENCE
She notes that AI is in our phones, homes and classrooms, whether we like it or not, and that the debate about whether AI should be in the classroom is already settled, shifting focus to productive use [16-19].
MAJOR DISCUSSION POINT
Need for AI Literacy Across All Stakeholders
AGREED WITH
Speaker 1, Shri S. Krishnan
Argument 2
Foundational AI concepts must be taught universally before role‑specific skilling (Dr. Shabana Bhattacharya)
EXPLANATION
She distinguishes AI literacy – a set of universal foundational concepts – from AI skilling, which varies by role. The curriculum therefore starts with core AI ideas that everyone should know before moving to specialised training.
EVIDENCE
She explains that AI literacy refers to a universal set of foundational concepts that everybody should be aware of, whereas AI skilling is role-specific, and the curriculum is built around this distinction [170-179].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Analyses of AI literacy curricula distinguish universal foundational concepts from role-specific skilling, supporting this view [S2].
MAJOR DISCUSSION POINT
Need for AI Literacy Across All Stakeholders
AGREED WITH
Speaker 1
Argument 3
AI enables personalized lessons, tailored pathways, and individualized feedback, improving learning outcomes (Dr. Shabana Bhattacharya)
EXPLANATION
Dr Bhattacharya argues that AI can overcome large student‑teacher ratios by delivering customized content, adaptive learning pathways and real‑time feedback, thereby raising learning gains. Personalisation is presented as a key transformation for learners.
EVIDENCE
She cites research showing one-on-one tutoring outperforms traditional classrooms, and explains that AI can provide customized lessons, tailored pathways, individualized assessments and feedback to improve learning quality [30-37].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Reports on AI-driven personalized and adaptive learning describe these benefits and challenges, confirming the claim [S18]; further discussion of the impact of personalized AI learning appears in [S19].
MAJOR DISCUSSION POINT
AI‑Driven Personalization and Equity in Learning
AGREED WITH
Tanushree Narain Sharma
Argument 4
Multilingual and voice‑based AI lowers barriers, bringing quality content to underserved learners (Dr. Shabana Bhattacharya)
EXPLANATION
She highlights that AI’s voice and multilingual capabilities make high‑quality learning material accessible in regional languages, expanding reach to students and parents who previously lacked such resources. This reduces equity gaps in education.
EVIDENCE
She states that voice-based and multilingual AI makes quality learning content available in regional languages, enabling greater parental engagement and broader access for underserved learners [45-47].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Evidence that multilingual and voice capabilities can bridge equity gaps in education is provided in [S20] and [S21]; similar observations about voice-based AI lowering barriers are noted in the curriculum overview [S2].
MAJOR DISCUSSION POINT
AI‑Driven Personalization and Equity in Learning
AGREED WITH
Tanushree Narain Sharma, Chitra Ravi, Shri S. Krishnan
Argument 5
AI assists teachers in lesson planning, diagnostics, and assessment, boosting productivity and pedagogy (Dr. Shabana Bhattacharya)
EXPLANATION
According to Dr Bhattacharya, AI functions as a teaching assistant, helping educators design lesson plans, run diagnostic tests, create and evaluate assessments, which enhances both efficiency and instructional quality.
EVIDENCE
She gives examples of teachers using AI-based tools to create lesson plans, run diagnostic tests to identify misconceptions, and produce as well as evaluate assessments, thereby improving productivity and pedagogy [41-44].
MAJOR DISCUSSION POINT
Teacher Preparedness, Confidence, and the Hope‑Fear Spectrum
Argument 6
Curriculum built on four pillars: AI fundamentals, data role, societal/environmental impact, and effective prompting (Dr. Shabana Bhattacharya)
EXPLANATION
She outlines the AI Samarth curriculum’s four pillars: understanding AI and its applications, grasping data’s role in training models, appreciating societal and environmental implications, and learning effective prompting for generative tools. This structure aims to provide a comprehensive foundation.
EVIDENCE
She describes the four pillars-what AI is and its applications, the role of data, societal and environmental impacts, and how to write effective prompts for generative AI-forming the backbone of the curriculum [170-190].
MAJOR DISCUSSION POINT
Designing AI Literacy Curriculum with Ethics and Critical Thinking
Argument 7
Critical thinking is fostered by encouraging verification of AI outputs against reliable sources and using AI as a reviewer rather than a source of answers (Dr. Shabana Bhattacharya)
EXPLANATION
She stresses that learners must not accept AI‑generated answers at face value; instead they should cross‑check with trusted sources and use AI to review their own work, cultivating a critical mindset.
EVIDENCE
She advises users to double-check AI results with valid sources, avoid over-reliance, and use AI as a reviewer rather than a primary answer provider, thereby reinforcing critical thinking [193-194].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Guidelines urging users to validate AI-generated content and keep a human in the loop align with this recommendation [S24].
MAJOR DISCUSSION POINT
Designing AI Literacy Curriculum with Ethics and Critical Thinking
AGREED WITH
Chitra Ravi
Argument 8
Embedding ethics, bias awareness, and responsible engagement is essential for all stakeholders (Dr. Shabana Bhattacharya)
EXPLANATION
Dr Bhattacharya notes that AI systems can inherit bias from training data, leading to fairness and societal concerns. Hence, ethics and bias awareness must be integral to AI literacy for students, teachers and parents.
EVIDENCE
She discusses how AI trained on particular data can exhibit bias and fairness issues, and stresses the need to understand these societal impacts as part of AI education [181-185].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Calls for safe, trustworthy AI systems and inclusive ethical frameworks reinforce the importance of ethics and bias awareness in AI education [S23] and [S28].
MAJOR DISCUSSION POINT
Designing AI Literacy Curriculum with Ethics and Critical Thinking
T
Tanushree Narain Sharma
5 arguments209 words per minute661 words189 seconds
Argument 1
AI Samarth converts student curiosity into confidence, reduces learning gaps, and supports language development (Tanushree Narain Sharma)
EXPLANATION
Tanushree describes how the AI Samarth programme turns students’ initial curiosity into confidence, helps bridge learning gaps and improves language skills, especially in government schools. She presents this as a key transformative outcome.
EVIDENCE
She shares observations from Odisha where students like Shraddha and Poonam use AI to check difficult topics, generate project ideas and gain confidence, summarising three patterns: curiosity to confidence, language improvement, and reduced learning gaps [70-85].
MAJOR DISCUSSION POINT
AI‑Driven Personalization and Equity in Learning
AGREED WITH
Dr. Shabana Bhattacharya, Chitra Ravi, Shri S. Krishnan
Argument 2
Teachers experience a spectrum from anxiety to optimism; AI literacy programs help balance this (Tanushree Narain Sharma)
EXPLANATION
She notes that teachers initially feel fear or anxiety about AI but, through exposure to AI Samarth, move toward optimism and confidence, illustrating the hope‑fear spectrum.
EVIDENCE
She remarks that the program converts curiosity into confidence and that teachers shift from apprehension to a positive stance, indicating a movement along the hope-fear spectrum [82-85].
MAJOR DISCUSSION POINT
Teacher Preparedness, Confidence, and the Hope‑Fear Spectrum
AGREED WITH
Chitra Ravi
Argument 3
Student Shraddha uses AI as a learning companion, turning curiosity into confidence (Tanushree Narain Sharma)
EXPLANATION
Tanushree recounts Shraddha’s experience of initially using AI for fun, then relying on it to clarify difficult subjects and verify with teachers, which boosted her confidence.
EVIDENCE
She describes Shraddha saying she first used AI for fun, later to cross-check difficult topics and seek teacher help, turning curiosity into confidence [73-79].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
A field note describing Shraddha’s shift from casual to purposeful AI use and the confidence it generated directly supports this story [S6].
MAJOR DISCUSSION POINT
Real‑World Impact Stories and Student Empowerment
Argument 4
Student Poonam leverages AI for project ideas and preparation, illustrating practical benefits (Tanushree Narain Sharma)
EXPLANATION
Poonam’s story shows a government‑school student moving from seeing AI as a buzzword to using it for concrete academic tasks like generating project ideas and preparing coursework, demonstrating real‑world utility.
EVIDENCE
She reports Poonam explaining that AI helped her generate project ideas and prepare, shifting her perception from entertainment to a useful learning tool [80-86].
MAJOR DISCUSSION POINT
Real‑World Impact Stories and Student Empowerment
Argument 5
AI Samarth program aims to reach nine million students, demonstrating large‑scale impact (Tanushree Narain Sharma)
EXPLANATION
Tanushree mentions the scale ambition of the AI Samarth initiative, targeting nine million learners, underscoring the programme’s breadth and potential national impact.
EVIDENCE
She states that the programme is reaching “nine million students” and outlines the pattern of outcomes observed across that scale [71-84].
MAJOR DISCUSSION POINT
Real‑World Impact Stories and Student Empowerment
C
Chitra Ravi
4 arguments158 words per minute1304 words495 seconds
Argument 1
AI acts as an equalizer, expanding access to quality education for low‑resource schools (Chitra Ravi)
EXPLANATION
Chitra argues that AI serves as an equalizer, providing high‑quality, relevant content to teachers and students in low‑fee private and government schools that lack traditional resources, thereby narrowing the education gap.
EVIDENCE
She notes that AI Samarth has empowered teachers with relevant use-cases, that AI is an equalizer and will become a leveler for low-resource classrooms, and references the 40 % of classrooms still lacking computer labs [108-112][146-148].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Research highlighting multilingual, voice-driven AI as a means to close equity gaps in education corroborates this equalizer role [S20]; broader equity goals are also discussed in [S12].
MAJOR DISCUSSION POINT
AI‑Driven Personalization and Equity in Learning
AGREED WITH
Dr. Shabana Bhattacharya, Tanushree Narain Sharma, Shri S. Krishnan
Argument 2
Teachers transition from fear of replacement to hopeful, purposeful use of AI, gaining confidence and agency (Chitra Ravi)
EXPLANATION
Chitra describes a spectrum of teacher sentiment from fear to hope, explaining how AI literacy demystifies the technology, builds confidence and encourages purposeful integration in teaching practice.
EVIDENCE
She outlines the hope-fear spectrum, recounts teachers moving from fear of replacement to confidence after understanding AI, and emphasizes the importance of agency and purposeful use [120-130].
MAJOR DISCUSSION POINT
Teacher Preparedness, Confidence, and the Hope‑Fear Spectrum
AGREED WITH
Tanushree Narain Sharma
Argument 3
Teacher training creates an emotionally safe environment, modeling confidence and ethical use of AI (Chitra Ravi)
EXPLANATION
She stresses that effective AI teacher training must provide an emotionally safe space, allowing educators to explore AI without anxiety and to model ethical, confident usage for their students.
EVIDENCE
She states that teacher training is about building an emotionally safe environment, especially given the hope-fear spectrum, and that this approach helps teachers gain confidence and model ethical AI use [198-199][200-203].
MAJOR DISCUSSION POINT
Designing AI Literacy Curriculum with Ethics and Critical Thinking
AGREED WITH
Dr. Shabana Bhattacharya
Argument 4
Teachers report increased politeness and positive classroom interactions after engaging with LLMs (Chitra Ravi)
EXPLANATION
Chitra observes that interaction with large language models has made teachers more polite and courteous in the classroom, suggesting subtle behavioural shifts stemming from AI exposure.
EVIDENCE
She notes that many teachers now say they are becoming more polite because LLMs like ChatGPT compliment their questions, and this politeness is spreading among teachers [202-205].
MAJOR DISCUSSION POINT
Real‑World Impact Stories and Student Empowerment
R
Ramya Venkataraman
2 arguments175 words per minute85 words29 seconds
Argument 1
In remote Jharkhand, teachers felt they were falling behind but regained confidence through AI literacy (Ramya Venkataraman)
EXPLANATION
Ramya shares a concrete example from a remote Jharkhand school where a teacher feared students were advancing faster than she was, but AI literacy helped her catch up, illustrating the confidence boost AI training can provide.
EVIDENCE
She recounts a teacher saying she was worried her students were moving ahead faster than she was, and that AI literacy enabled her to catch up [165].
MAJOR DISCUSSION POINT
Teacher Preparedness, Confidence, and the Hope‑Fear Spectrum
Argument 2
AI literacy initiatives are being observed across 100+ countries, highlighting diverse teacher experiences in the Global South (Ramya Venkataraman)
EXPLANATION
Ramya notes that through her work with CENTA, teachers from over a hundred countries are engaging with AI, underscoring the global reach and varied contexts of AI literacy efforts.
EVIDENCE
She mentions that over the past years, teachers from 100 + countries have engaged with AI through CENTA, indicating a broad international footprint [164-166].
MAJOR DISCUSSION POINT
Scaling AI Literacy in the Global South and Policy Support
S
Shri S. Krishnan
3 arguments162 words per minute861 words317 seconds
Argument 1
Inclusive AI education is critical to ensure no one is left behind, as highlighted by national policy (Shri S. Krishnan)
EXPLANATION
Shri Krishnan emphasizes that democratizing AI through education is essential for inclusion, and cites the Indian government’s policy to teach AI from Class 3 onward as a concrete step toward that goal.
EVIDENCE
He remarks that the summit is democratizing AI, bringing concerns into the room, and cites the government’s policy to introduce AI education from Class 3 across states, aiming for inclusive participation [229-232][242-244].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Policy-level calls for empowering teachers, learners, and parents through AI literacy echo this inclusive stance [S12] and the duty of education systems to teach AI tools [S15]; foundational AI knowledge for inclusive growth is noted in [S1].
MAJOR DISCUSSION POINT
Need for AI Literacy Across All Stakeholders
AGREED WITH
Dr. Shabana Bhattacharya, Tanushree Narain Sharma, Chitra Ravi
Argument 2
Indian government policy mandates AI education from Class 3 onward, aiming for nationwide inclusion (Shri S. Krishnan)
EXPLANATION
He points out the official policy decision that AI will be part of the curriculum starting in the third grade, reinforcing the commitment to embed AI literacy at the foundational level of schooling.
EVIDENCE
He states that the government of India has already made a policy call to teach AI from Class 3 onward, which will be incorporated into state curricula [242-244].
MAJOR DISCUSSION POINT
Scaling AI Literacy in the Global South and Policy Support
Argument 3
Democratizing AI through education ensures a skilled future workforce across disciplines, not just computer science (Shri S. Krishnan)
EXPLANATION
He argues that AI knowledge should be spread across all academic streams, because future jobs will require AI awareness beyond technical fields, and this broad-based education will empower the next generation.
EVIDENCE
He explains that AI needs to be taught in every discipline, not only computer science, so that a wide range of professionals can understand and leverage the technology, highlighting the need for a skilled workforce across domains [232-246].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Analyses of AI’s impact on the next-generation workforce stress the need for broad AI education beyond technical fields [S1]; the view of AI as an essential tool for all learners is also reflected in discussions of AI as a calculator-like educational tool [S15].
MAJOR DISCUSSION POINT
Scaling AI Literacy in the Global South and Policy Support
Agreements
Agreement Points
AI literacy is essential for all stakeholders (students, teachers, parents, and the broader society)
Speakers: Speaker 1, Dr. Shabana Bhattacharya, Shri S. Krishnan
AI literacy as a foundation for students, parents, and teachers to become active contributors rather than passive recipients (Speaker 1) AI is already embedded in classrooms; understanding its workings is essential for responsible use (Dr. Shabana Bhattacharya) Inclusive AI education is critical to ensure no one is left behind, as highlighted by national policy (Shri S. Krishnan)
All three speakers stress that AI literacy must be provided to every learner, parent and educator so that they can actively shape and use AI rather than merely consume it, noting that AI is already present in everyday learning environments and that inclusive education is needed to avoid anyone being left behind [4][50-51][229-244].
POLICY CONTEXT (KNOWLEDGE BASE)
Multiple policy briefs stress universal AI education as a prerequisite for responsible adoption, highlighting the need for broad-based information dissemination and capacity building across society [S38][S39][S56][S57][S59].
AI can act as an equalizer, improving equity and reaching underserved learners
Speakers: Dr. Shabana Bhattacharya, Tanushree Narain Sharma, Chitra Ravi, Shri S. Krishnan
Multilingual and voice‑based AI lowers barriers, bringing quality content to underserved learners (Dr. Shabana Bhattacharya) AI Samarth converts student curiosity into confidence, reduces learning gaps, and supports language development (Tanushree Narain Sharma) AI acts as an equalizer, expanding access to quality education for low‑resource schools (Chitra Ravi) Inclusive AI education is critical to ensure no one is left behind, as highlighted by national policy (Shri S. Krishnan)
The speakers highlight that AI’s multilingual, voice-based, and adaptive capabilities can bring high-quality learning resources to remote, low-resource, and multilingual contexts, thereby narrowing digital and educational divides and fostering inclusive participation [45-47][82-85][108-112][146-148][229-232].
POLICY CONTEXT (KNOWLEDGE BASE)
Inclusive AI frameworks call for reaching underserved populations and promoting gender and geographic equity, echoing WSIS Action Lines and inclusive development agendas [S39][S40][S48][S62].
AI enables personalized learning and improves educational outcomes
Speakers: Dr. Shabana Bhattacharya, Tanushree Narain Sharma
AI enables personalized lessons, tailored pathways, and individualized feedback, improving learning outcomes (Dr. Shabana Bhattacharya) AI Samarth reduces learning gaps and supports language development (Tanushree Narain Sharma)
Both speakers argue that AI-driven personalization-through customized lessons, adaptive pathways, and feedback-helps overcome large student-teacher ratios and closes learning gaps, leading to better learning gains [30-37][82-85].
POLICY CONTEXT (KNOWLEDGE BASE)
Research on AI-driven apprenticeship and storytelling models highlights personalised pathways and outcome gains, while language-support initiatives demonstrate concrete learning improvements [S50][S42][S49].
Critical thinking, verification, and ethics must be embedded in AI literacy
Speakers: Dr. Shabana Bhattacharya, Chitra Ravi
Critical thinking is fostered by encouraging verification of AI outputs against reliable sources and using AI as a reviewer rather than a source of answers (Dr. Shabana Bhattacharya) Teacher training creates an emotionally safe environment, modeling confidence and ethical use of AI (Chitra Ravi)
Both emphasize that AI education should teach learners to double-check AI-generated information, avoid over-reliance, and engage with AI ethically within a supportive, emotionally safe training environment [193-194][198-203].
POLICY CONTEXT (KNOWLEDGE BASE)
Policy discussions repeatedly flag bias mitigation, verification of AI-generated content, and ethical safeguards as core curriculum components [S38][S51][S43][S50].
Teachers move along a hope‑fear spectrum; AI literacy builds confidence and agency
Speakers: Tanushree Narain Sharma, Chitra Ravi
Teachers experience a spectrum from anxiety to optimism; AI literacy programs help balance this (Tanushree Narain Sharma) Teachers transition from fear of replacement to hopeful, purposeful use of AI, gaining confidence and agency (Chitra Ravi)
Both note that educators initially fear AI but, through exposure to AI literacy programmes, shift toward optimism, confidence, and purposeful integration in their teaching practice [82-85][120-130].
POLICY CONTEXT (KNOWLEDGE BASE)
Initiatives in the Global South describe a transition from curiosity to confidence for educators, and national policy alignments aim to boost teacher agency through AI training [S42][S55][S56].
AI literacy curricula should start with universal foundational concepts before role‑specific skilling
Speakers: Speaker 1, Dr. Shabana Bhattacharya
AI literacy as a foundation for students, parents, and teachers to become active contributors rather than passive recipients (Speaker 1) Foundational AI concepts must be taught universally before role‑specific skilling (Dr. Shabana Bhattacharya)
Both stress that AI education must begin with core, universal AI concepts for all learners before moving to specialised, role-based skill development [4][170-179].
POLICY CONTEXT (KNOWLEDGE BASE)
Tiered digital-literacy models advocate beginning with universal foundations before advancing to specialised skills, a view echoed in capacity-building roadmaps for the Global South [S47][S42][S48].
Similar Viewpoints
Both argue that AI literacy should be universal and foundational, providing a base for all stakeholders before any specialised training [4][170-179].
Speakers: Speaker 1, Dr. Shabana Bhattacharya
AI literacy as a foundation for students, parents, and teachers to become active contributors rather than passive recipients (Speaker 1) Foundational AI concepts must be taught universally before role‑specific skilling (Dr. Shabana Bhattacharya)
Both highlight AI’s role in improving equity by delivering content in regional languages and closing learning gaps for disadvantaged students [45-47][82-85].
Speakers: Dr. Shabana Bhattacharya, Tanushree Narain Sharma
Multilingual and voice‑based AI lowers barriers, bringing quality content to underserved learners (Dr. Shabana Bhattacharya) AI Samarth reduces learning gaps, supports language development and builds confidence (Tanushree Narain Sharma)
Both describe a hope‑fear continuum among teachers that AI literacy helps shift toward confidence and purposeful adoption [82-85][120-130].
Speakers: Tanushree Narain Sharma, Chitra Ravi
Teachers experience a spectrum from anxiety to optimism; AI literacy programs help balance this (Tanushree Narain Sharma) Teachers transition from fear of replacement to hopeful, purposeful use of AI, gaining confidence and agency (Chitra Ravi)
Both stress that AI education must embed ethical practice, critical verification, and a safe learning environment for teachers and students [193-194][198-203].
Speakers: Dr. Shabana Bhattacharya, Chitra Ravi
Critical thinking is fostered by encouraging verification of AI outputs against reliable sources and using AI as a reviewer rather than a source of answers (Dr. Shabana Bhattacharya) Teacher training creates an emotionally safe environment, modeling confidence and ethical use of AI (Chitra Ravi)
Both underline the necessity of inclusive, widespread AI education to prevent exclusion of any group, aligning philanthropic and policy perspectives [4][229-244].
Speakers: Shri S. Krishnan, Speaker 1
Inclusive AI education is critical to ensure no one is left behind, as highlighted by national policy (Shri S. Krishnan) AI literacy as a foundation for students, parents, and teachers to become active contributors rather than passive recipients (Speaker 1)
Unexpected Consensus
Alignment between national policy (AI from Class 3) and philanthropic emphasis on universal AI literacy
Speakers: Shri S. Krishnan, Speaker 1
Inclusive AI education is critical to ensure no one is left behind, as highlighted by national policy (Shri S. Krishnan) AI literacy as a foundation for students, parents, and teachers to become active contributors rather than passive recipients (Speaker 1)
It is notable that a government policy mandating AI education from the third grade aligns directly with a civil-society organization’s call for AI literacy for all stakeholders, showing cross-sector consensus on early, inclusive AI education [4][242-244].
POLICY CONTEXT (KNOWLEDGE BASE)
National AI strategies that embed AI education from early grades are explicitly aligned with philanthropic calls for universal literacy, as reflected in policy roadmaps and capacity-building recommendations [S55][S52][S56].
Overall Assessment

The participants show strong consensus that AI literacy must be universal, foundational, and inclusive, serving as an equalizer that personalizes learning, reduces gaps, and empowers teachers and students alike. They also agree on embedding critical thinking, ethics, and a supportive training environment, while recognizing the emotional journey of teachers from fear to confidence.

High consensus across speakers, indicating a coordinated vision that can facilitate policy alignment, large‑scale programme design, and resource mobilisation for AI‑enabled education in the Global South.

Differences
Different Viewpoints
Approach to AI-generated teaching materials – over‑utilisation without validation versus emphasis on critical verification
Speakers: Chitra Ravi, Dr. Shabana Bhattacharya
Teachers may churn out lesson plans using LLMs without knowing how to validate them (Chitra Ravi) Users must double‑check AI outputs with reliable sources and avoid over‑reliance (Dr. Shabana Bhattacharya)
Chitra observes that teachers sometimes generate lesson plans by simply prompting an LLM and lack validation skills [144-145], while Dr. Shabana stresses the need for learners to cross-check AI results with trusted sources and not accept answers at face value [193-194]. This reflects a disagreement on how AI tools should be used in classroom preparation.
POLICY CONTEXT (KNOWLEDGE BASE)
Guidelines warn against unverified AI content and stress ethical verification processes before classroom deployment [S38][S51][S50].
Design of AI literacy programmes – foundational universal curriculum versus curiosity‑to‑confidence, language and gap‑reduction focus
Speakers: Dr. Shabana Bhattacharya, Tanushree Narain Sharma
AI literacy should start with universal foundational concepts before role‑specific skilling (Dr. Shabana Bhattacharya) AI Samarth converts curiosity into confidence, improves language skills and reduces learning gaps (Tanushree Narain Sharma)
Dr. Shabana outlines a curriculum built on four universal pillars covering AI basics, data, societal impact and prompting [170-179], whereas Tanushree highlights outcomes such as curiosity turning into confidence, language support and gap reduction without detailing a foundational curriculum [70-85]. Both aim for AI literacy but differ on the primary design emphasis.
POLICY CONTEXT (KNOWLEDGE BASE)
Debates contrast a universal, tiered curriculum with models that prioritize curiosity-driven confidence, multilingual support, and learning-gap reduction, as discussed in AI-literacy pilots for the Global South [S42][S44][S47].
Readiness for AI integration – policy‑driven inclusion versus on‑ground resource constraints
Speakers: Shri S. Krishnan, Chitra Ravi
National policy mandates AI education from Class 3 to ensure inclusive participation (Shri S. Krishnan) 40 % of classrooms still lack computer labs, indicating significant infrastructure gaps (Chitra Ravi)
Shri Krishnan cites government policy to teach AI from Class 3 onward as a step toward inclusive AI education [242-244], while Chitra points out that many schools still lack basic computer infrastructure, limiting immediate AI deployment [103-105]. This creates tension between policy aspirations and practical implementation capacity.
POLICY CONTEXT (KNOWLEDGE BASE)
While policies promote inclusive AI adoption, on-the-ground reports highlight infrastructure gaps, limited funding, and capacity constraints that impede implementation [S60][S58][S40].
Unexpected Differences
Perception of AI’s inevitability versus its limitations
Speakers: Bhanu Potta, Shri S. Krishnan
AI is already in our hands and the debate about its presence in classrooms is settled (Bhanu Potta) AI is not a silver bullet and may not solve all problems; experimentation is needed (Shri S. Krishnan)
Bhanu asserts that AI’s presence in phones, homes and classrooms makes the question of ‘should AI be in the classroom’ moot [15-19], while Shri Krishnan cautions that AI is not a panacea and its impact is uncertain, urging experimentation [242-244]. This contrast between inevitability and caution was not anticipated given the overall consensus on AI’s importance.
POLICY CONTEXT (KNOWLEDGE BASE)
Policy dialogues acknowledge AI’s transformative potential but also stress its technical, ethical, and societal limits, urging balanced narratives rather than deterministic views [S38][S51][S52].
Overall Assessment

The panel largely concurs on the importance of AI literacy and its potential to personalize learning, lower equity gaps and empower teachers. Disagreements surface around implementation details: how to balance AI‑generated content with critical verification, whether curricula should start with universal foundations or outcome‑driven pathways, and the gap between policy ambitions and on‑ground infrastructure. An unexpected tension appears between viewing AI as an unavoidable, already‑present tool and treating it as a technology that still requires careful experimentation.

Moderate – while there is strong shared vision, the divergences concern practical approaches and readiness, implying that coordinated policy, resource investment, and clear pedagogical guidelines are needed to translate consensus into effective action.

Partial Agreements
All three agree on the necessity of AI literacy for all stakeholders, but differ on delivery: Speaker 1 promotes a large‑scale programme (AI Summit) [4-7], Dr. Shabana proposes a curriculum with four pillars [170-179], and Shri Krishnan emphasizes top‑down policy mandates from Class 3 onward [242-244].
Speakers: Speaker 1, Dr. Shabana Bhattacharya, Shri S. Krishnan
AI literacy is essential for students, parents and teachers (Speaker 1) AI literacy provides foundational concepts for responsible use (Dr. Shabana Bhattacharya) Inclusive AI education is critical to avoid anyone being left behind (Shri S. Krishnan)
All agree that AI should boost confidence and effectiveness of teachers and learners, yet their methods vary: Chitra stresses emotionally safe teacher training [198-199], Tanushree focuses on curiosity‑to‑confidence pathways [70-85], and Dr. Shabana highlights AI tools for lesson planning and diagnostics [41-44].
Speakers: Chitra Ravi, Tanushree Narain Sharma, Dr. Shabana Bhattacharya
Building teacher confidence and agency through AI (Chitra Ravi) Transforming student curiosity into confidence and reducing gaps (Tanushree Narain Sharma) AI as a teaching assistant improving productivity and pedagogy (Dr. Shabana Bhattacharya)
Takeaways
Key takeaways
AI literacy must be universal – students, teachers, parents and broader education stakeholders need foundational AI knowledge to become active contributors rather than passive users. AI can deliver personalized learning, multilingual content and data‑driven insights, acting as an equalizer that expands quality education to underserved and low‑resource schools. Teachers experience a hope‑fear spectrum; effective AI literacy programs shift sentiment toward confidence and purposeful agency while preserving the teacher’s role as a facilitator. A well‑structured curriculum should cover four pillars – AI fundamentals, the role of data, societal/environmental impacts and effective prompting – with embedded ethics, bias awareness and critical‑thinking practices. Scaling initiatives such as AI Samarth (targeting millions of students) and national policy mandating AI education from Class 3 are critical for inclusive, future‑ready learning across the Global South. Real‑world stories (e.g., students Shraddha and Poonam) illustrate how AI transforms curiosity into confidence, supports language development and aids project work.
Resolutions and action items
Continue and expand the AI Samarth program to reach its goal of nine million students, with ongoing teacher‑training cascades. CSF and the Wadwani School of AI will maintain collaboration to refine and disseminate the AI literacy curriculum across government and low‑fee private schools. Incorporate explicit critical‑thinking exercises into the curriculum – e.g., students first answer independently, then use AI for review and improvement. Develop teacher‑training modules that create an emotionally safe environment and address the hope‑fear spectrum, emphasizing AI as an assistant not a replacement. Encourage schools to adopt the four‑pillar curriculum framework and integrate AI concepts from Class 3 onward, aligning with Indian government policy. Monitor and share best‑practice case studies (like Shraddha and Poonam) to demonstrate impact and guide further rollout.
Unresolved issues
Specific mechanisms for large‑scale validation of AI‑generated content and systematic cross‑checking against reliable sources were not defined. How to prevent over‑reliance on AI for tasks such as lesson‑plan generation without adequate teacher verification remains an open concern. Details on resource allocation, infrastructure needs (e.g., internet, devices) for remote schools, especially in regions like Jharkhand, were not fully addressed. A clear governance model for ongoing ethics oversight, bias mitigation and environmental impact monitoring across the diverse implementations was not established. The role of policy enforcement and accountability mechanisms to ensure AI literacy reaches all intended stakeholders was not concretely outlined.
Suggested compromises
Balancing the hope‑fear spectrum by providing an equilibrium – offering enough AI exposure to build confidence while maintaining safeguards against over‑use. Positioning AI as a supportive assistant for teachers rather than a replacement, thereby addressing teacher anxieties while leveraging productivity gains. Encouraging responsible AI use through a blend of empowerment (skill building) and caution (critical‑thinking loops), mitigating both under‑utilization and over‑utilization. Adopting a phased rollout that combines immediate curriculum deployment with ongoing teacher training and feedback loops to adjust content based on field experience.
Thought Provoking Comments
AI is already in our hands… The conversation today is really about what futures we want to build with the tool that is coming into our hands. I think the discussion about whether AI should be in the classroom or be a learning tool is already passed.
Sets the premise that AI integration in education is inevitable, shifting the debate from ‘if’ to ‘how’ we use it, thereby framing the entire discussion around purposeful design rather than resistance.
This comment pivoted the conversation from debating AI’s presence to exploring its purposeful implementation, prompting panelists to discuss concrete use‑cases, equity, and curriculum design.
Speaker: Bhanu Potta
Personalization is the biggest value add… AI can provide customized lessons, tailored learning pathways, individualized assessments and feedback, and it can lower the barrier to quality education for underserved classes through voice‑based and multilingual capabilities.
Highlights AI’s potential to address systemic challenges in Indian education—large student‑teacher ratios and language diversity—linking technology to equity and inclusion.
Her points steered the dialogue toward equity and the need for AI literacy across all stakeholders (students, teachers, parents), influencing subsequent remarks about reaching the ‘last child’ and the importance of multilingual content.
Speaker: Dr. Shabana Bhattacharya
We saw a child named Shraddha who moved from using AI just for fun to using it as a companion to cross‑check difficult subjects, and another child Poonam who now gets project ideas and preparation help from AI. This shows curiosity converting into confidence, and AI Samarth also teaches ethics and bias.
Provides concrete, relatable examples that illustrate how AI can transform learner agency and embed ethical awareness, moving the conversation from abstract benefits to lived experiences.
Her anecdotes humanized the discussion, prompting the panel to explore the journey from curiosity to confidence and reinforcing the need for ethical AI literacy in curricula.
Speaker: Tanushree Narain Sharma
There is a spectrum between hope and fear among teachers. AI literacy brings an equilibrium, but there is a risk of over‑utilization where teachers generate lesson plans with LLMs without validating them.
Introduces the nuanced emotional landscape of teachers, acknowledging both optimism and anxiety, and flags a practical pitfall of uncritical reliance on AI outputs.
This comment deepened the conversation about teacher training, leading to discussions on building confidence, establishing safe learning environments, and embedding critical thinking safeguards.
Speaker: Chitra Ravi
AI should be taught from class three onwards and across all disciplines, not just to computer‑science students. It’s not a silver bullet, but we must experiment and ensure inclusion so no one is left behind.
Offers a policy‑level perspective, advocating for early, interdisciplinary AI education and emphasizing inclusion, thereby broadening the scope beyond K‑12 to higher education and workforce readiness.
His remarks expanded the dialogue to national policy and systemic implementation, reinforcing earlier points about universal AI literacy and prompting the panel to consider long‑term, cross‑sector strategies.
Speaker: Shri S. Krishnan
We should not ask AI for the answer outright; instead, do our own exercise, submit the answer, and then ask AI to review and improve – a critical‑thinking loop embedded in the curriculum.
Proposes a concrete pedagogical method that embeds critical thinking into AI use, addressing concerns about over‑reliance and ensuring students develop verification skills.
This suggestion guided the later part of the discussion toward curriculum design specifics, influencing how panelists described their training approaches and the emphasis on validation and critical engagement.
Speaker: Bhanu Potta
Overall Assessment

The discussion was shaped by a series of pivotal remarks that moved the conversation from abstract acceptance of AI to concrete strategies for equitable, ethical, and effective integration. Bhanu’s framing of AI’s inevitability set the stage, while Dr. Shabana’s focus on personalization and equity highlighted systemic opportunities. Tanushree’s student stories personalized the impact, and Chitra’s articulation of the hope‑fear spectrum introduced the emotional and practical challenges teachers face. Shri Krishnan’s policy‑level call for early, interdisciplinary AI education broadened the vision to national scale. Finally, Bhanu’s concrete pedagogical loop reinforced the need for critical thinking. Together, these comments redirected the dialogue toward actionable curriculum design, teacher training, and inclusive policy, deepening the analysis and steering the panel toward a shared vision of responsible AI literacy across the Global South.

Follow-up Questions
What are teachers’ experiences and perspectives on AI adoption in classrooms across the broader Global South beyond India?
Ramya’s brief response indicated uncertainty, highlighting a need for deeper insight into diverse regional contexts to inform scalable AI literacy initiatives.
Speaker: Ramya Venkataraman
How effective are AI literacy programs like AI Samarth in improving student learning outcomes, confidence, and reducing learning gaps?
Both highlighted observed shifts from curiosity to confidence and noted reductions in learning gaps, suggesting a need for systematic impact evaluation.
Speaker: Tanushree Narain Sharma; Chitra Ravi
What is the effectiveness of AI tools in delivering multilingual educational content and supporting language learning for underserved students?
Discussion of AI’s multilingual capabilities and language improvement points to a research gap in measuring efficacy across languages.
Speaker: Dr. Shabana Bhattacharya; Tanushree Narain Sharma
How can the risk of over‑utilization of AI (e.g., teachers generating lesson plans without validation) be mitigated?
Chitra warned about teachers producing AI‑generated lesson plans without proper validation, indicating a need for guidelines and safeguards.
Speaker: Chitra Ravi
What frameworks or pedagogical strategies best safeguard critical thinking when students and teachers interact with generative AI?
Both emphasized the importance of cross‑checking AI outputs and avoiding blind trust, calling for structured critical‑thinking curricula.
Speaker: Dr. Shabana Bhattacharya; Bhanu Potta
What are the environmental impacts of scaling AI usage in education, and how can they be minimized?
She noted AI’s computational and environmental costs, suggesting research into sustainable AI deployment in schools.
Speaker: Dr. Shabana Bhattacharya
How can teacher‑training programs balance the hope‑fear spectrum and create emotionally safe environments for AI adoption?
Chitra highlighted the emotional dimensions of AI adoption, indicating a need to study effective training approaches that address teacher anxieties.
Speaker: Chitra Ravi
How does AI literacy influence career pathways and job readiness across non‑technical disciplines?
Krishnan stressed AI education for all fields, implying research on its impact on diverse career trajectories.
Speaker: Shri S. Krishnan
How should AI literacy curricula be differentiated for various stakeholder roles (students, teachers, administrators) while preserving core foundational concepts?
She distinguished between foundational AI literacy and role‑specific AI skilling, suggesting a need for adaptable curriculum design.
Speaker: Dr. Shabana Bhattacharya
What validation mechanisms are needed to ensure AI‑generated educational content aligns with curriculum standards and pedagogical quality?
Concern about unvalidated AI lesson plans points to a requirement for systematic content review processes.
Speaker: Chitra Ravi
What are the social effects of AI‑mediated politeness (e.g., LLM feedback) on teacher communication styles and classroom dynamics?
She observed teachers becoming more polite due to AI interactions, indicating a novel area for sociolinguistic research.
Speaker: Chitra Ravi
What strategies can effectively reach the “last child” in remote or infrastructure‑limited areas to ensure equitable AI literacy?
Both discussed equity and scaling challenges, highlighting the need for solutions addressing connectivity and resource constraints.
Speaker: Dr. Shabana Bhattacharya; Chitra Ravi
How can AI analytics on assessment, attendance, and other school data be used to predict and prevent student dropouts?
She mentioned AI’s potential for risk identification, suggesting research into predictive models and intervention frameworks.
Speaker: Dr. Shabana Bhattacharya
What policies and safeguards are required to protect student data privacy and ethical use of AI in classrooms?
Discussion of data collection and ethical concerns indicates a need for comprehensive policy research on privacy and responsible AI use.
Speaker: Dr. Shabana Bhattacharya; Shri S. Krishnan

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