Conversation: 01

19 Feb 2026 10:30h - 11:15h

Session at a glanceSummary, keypoints, and speakers overview

Summary

The panel convened in New Delhi brought together ministers from the UAE, Costa Rica and a senior AI advisor from the United States to discuss how AI’s impact and diffusion can be shaped at national and global levels [7-8].


The U.S. representative outlined the Trump administration’s AI Action Plan, which centers on building infrastructure such as data centers and grid capacity, fostering innovation by reducing red tape, and sharing advanced chips and models with allies worldwide [11-13][15-20][21-25].


The UAE minister highlighted the country’s leading position in AI diffusion, noting that it ranks first globally in Microsoft’s AI diffusion report and that its domestic strategy prioritises quality-of-life improvements rather than purely economic or political gains [34-38]; he also emphasized the UAE’s role as a global convener, citing its participation in G20 AI dialogues and its commitment to inclusive, multilateral discussions that avoid silos [84-86].


Costa Rica’s minister described the challenges faced by a small economy, stressing the need for a diagnostic AI toolkit, the importance of 5G rollout, and the ambition to help other Latin American and Caribbean nations develop AI capabilities [44-47][50-56]; she argued that regional cooperation among like-minded countries, combined with cross-regional partnerships, is essential for small economies to gain visibility and support from more advanced nations [73-79].


When asked about future multilateralism, both the UAE and Costa Rica suggested hybrid models that blend regional groupings with broader global alliances, allowing countries of different sizes to negotiate collectively [68-72][73-80].


Regarding regulation, the UAE official explained a gradual, engagement-driven approach that initially embraces technologies such as ChatGPT and only introduces restrictions when negative impacts emerge, aiming for compatibility with other jurisdictions [119-126][127-134]; the U.S. advisor stressed the importance of coherent, predictable rules that avoid a patchwork of state-level regulations and protect children, IP, and bias while preserving innovation [189-199]; Costa Rica’s minister added that regulation must be tailored to each country’s reality, proposing that data governance and the value of data be addressed first, with innovation leading and regulation following [156-169].


All three speakers agreed that AI governance should be flexible, collaborative, and continuously reassessed to balance safety with the rapid pace of technological development [119-126][156-169][189-199].


The discussion concluded that coordinated international cooperation and adaptable regulatory frameworks are crucial for harnessing AI’s benefits while mitigating risks [119-126][156-169][189-199].


Keypoints


Major discussion points


National AI strategies and priorities – Each minister outlined their country’s core AI agenda: the United States (under the Trump administration) focuses on building infrastructure, fostering innovation, and sharing technology with allies [9-25]; the United Arab Emirates emphasizes AI-driven quality-of-life improvements, extensive diffusion across society, and regional capacity-building [30-38]; Costa Rica stresses the need for a diagnostic “AI-readiness” assessment, development of an AI toolkit, and linking AI progress to 5G deployment [44-58].


The role of multilateral cooperation and diffusion – The moderator asked how AI can be diffused globally and what forms of multilateralism might work; panelists highlighted regional groupings, cross-regional alliances, and the UAE’s ambition to act as a global convener for AI dialogue [26-29][61-72][73-82][84-86]. The U.S. referenced existing partnership mechanisms such as the AI Accelerator with the UAE and the “critical minerals” and “Paxilica” initiatives [87-105].


Approaches to AI regulation – Divergent regulatory philosophies were discussed: the UAE advocates a gradual, engagement-driven model that avoids outright bans and prefers incremental restrictions [119-136][139-146]; Costa Rica argues regulation must be tailored to each country’s reality, suggesting innovation first and then regulation, with a focus on data governance and value [156-169][170-178]; the United States stresses the need for coherent, predictable rules that protect children, IP, and bias while avoiding a patchwork of state-level regulations [189-199].


Impact and diffusion of AI as an economic and societal catalyst – The moderator framed the conversation around “impact and diffusion,” prompting panelists to describe how AI can empower citizens, improve quality of life, and act as a diagnostic tool for national development [7-8][30-38][44-58]. The discussion repeatedly linked AI diffusion to broader goals such as economic growth, regional equity, and global competitiveness.


Overall purpose or goal of the discussion


The panel was convened to explore how AI can be responsibly leveraged across nations, examining the meaning of “impact” and “diffusion,” the opportunities and challenges each country faces, the shape of future multilateral cooperation, and the balance between fostering innovation and instituting effective regulation. By sharing distinct national perspectives, the participants aimed to identify common ground and collaborative pathways for a globally inclusive AI ecosystem.


Tone of the discussion


Opening segment (0:00-0:53) – Formal and ceremonial, with polite introductions and gratitude.


Mid-section (0:53-8:00) – Optimistic and forward-looking; speakers highlighted achievements, ambitions, and the potential of AI to improve lives.


Cooperation & regulation segment (8:00-19:30) – Becomes more diplomatic and nuanced; participants acknowledge differing capacities, stress the need for inclusive dialogue, and present measured, pragmatic policy stances.


Closing segment (19:30-23:50) – Appreciative and hopeful, with the moderator and host summarizing the value of the exchange and expressing confidence in future collaboration.


Overall, the tone shifts from celebratory introductions to constructive, solution-oriented dialogue, culminating in a collegial and optimistic conclusion.


Speakers

Omar Al Olama – Area of expertise: Artificial Intelligence policy and governance. Role/Title: Minister of State for Artificial Intelligence, United Arab Emirates. [S1]


Sriram Krishnan – Area of expertise: AI policy, technology strategy and international AI partnerships. Role/Title: Senior Policy Advisor for AI, White House (Office of Science and Technology Policy). [S3]


Speaker 1 – Area of expertise: (not specified). Role/Title: Host/Opening speaker for the panel discussion.


Dr. Samir Saran – Area of expertise: International security, technology policy, and research think-tank leadership. Role/Title: President, Observer Research Foundation; Moderator of the panel. [S9]


Paula Bogantes Zamora – Area of expertise: Science, innovation, technology and telecommunications policy. Role/Title: Minister of Science, Innovation, Technology and Telecommunications, Costa Rica. [S12]


Additional speakers:


– Prime Minister Narendra Modi – Role/Title: Prime Minister of India. (mentioned in transcript)


– President Donald Trump – Role/Title: Former President of the United States. (mentioned in transcript)


– President Emmanuel Macron – Role/Title: President of France. (mentioned in transcript)


– Jacob Helberg – Role/Title: U.S. State Department official involved in AI partnership initiatives (e.g., PacSilica). (mentioned in transcript)


Full session reportComprehensive analysis and detailed insights

Opening & framing – Speaker 1 welcomed three panelists – the Minister of Science and Technology of Costa Rica, the Minister of State for AI of the United Arab Emirates, and a senior AI policy adviser from the White House – and introduced Dr Samir Saran, President of the Observer Research Foundation, as moderator. Dr Saran defined the debate’s twin lenses of “impact” and “diffusion” and asked each participant to explain these concepts from national and global standpoints [1-8].


U.S. AI Action Plan (Sriram Krishnan) – Krishnan outlined a three-pillar strategy.


1. Infrastructure – building physical and digital capacity (data-centres, grid upgrades) while keeping consumer energy costs low [11-13].


2. Innovation – cutting red-tape, highlighted by a recent executive order that limits onerous legislation [15-20].


3. International sharing – exporting advanced chips and AI models, exemplified by the AI Accelerator partnership with the UAE (created in May 2023 and being formalised today) [21-27][30-34]; the United States also mentioned a “critical-minerals group” and the “PaxSilica” supply-chain security programme [30-34][??].


Krishnan concluded by congratulating the “Sarvam team” on their recent launch [??].


UAE perspective (Omar Al Olama) – Al Olama noted that the UAE tops Microsoft’s AI-diffusion ranking [34-38] and that its AI agenda is driven primarily by quality-of-life improvements, which he expects to “cascade into every other domain” [33-38]. He described extensive domestic infrastructure-from data-centres to AI-literacy programmes across Africa and Latin America-and the country’s ambition to act as a global convener, citing participation in G20 AI meetings, the World Government Summit, and the “Hiroshima Accords” [84-86][??]. A light-hearted exchange revealed that the UAE was the world’s first AI ministry and that Al Olama became a minister before completing his military service [45-48][??]. He expressed disappointment that not every nation has appointed an AI minister by 2026 [40-42][115-117].


Costa Rica approach (Paula Bogantes Zamora) – Bogantes explained that, as a small nation of 5.2 million, Costa Rica must first diagnose its AI readiness. She is collaborating with the OECD on an AI-readiness toolkit that helps countries assess gaps and plan improvements [44-56]. She linked AI deployment to 5G rollout, noting that 70 % of the 190 + countries that have adopted 5G are already positioned to benefit from AI[45-47]. Bogantes highlighted that only 4 of the 33 Latin-American and Caribbean states have formal AI strategies, and called for a regional coalition of the 33 states (≈650 million people) that could later engage in cross-regional partnerships [73-80][70-78].


Multilateral cooperation – When asked about future multilateralism, Al Olama argued that the UAE should serve as a neutral platform that brings under-represented regions into the AI conversation [84-86]. Bogantes proposed a hybrid model that starts with strong regional blocs and then expands to cross-regional alliances to amplify shared challenges [73-82]. Krishnan reinforced the U.S. view that concrete partnership mechanisms-such as the AI Accelerator with the UAE and the PaxSilica programme-can serve as templates for broader cooperation [87-95][101-107].


Regulation philosophies


* UAE (Al Olama) – advocates a gradual, engagement-driven model: the UAE adopted ChatGPT immediately, encouraging widespread use, and would consider “gradual restriction” only if negative impacts emerged [96-108]; regulations should be compatible with other jurisdictions [135-138].


* Costa Rica (Bogantes) – argues regulation must be calibrated to each country’s economic reality; innovation should precede regulation, with primary focus on data privacy, governance, and the value of data [109-122]; she cited investment levels expressed as percentages of GDP (OECD 2.7 %, Costa Rica 0.30 %, Latin America 0.65 %) [??].


* United States (Krishnan) – calls for a coherent, predictable national framework that protects children, intellectual-property rights, and bias while avoiding a fragmented patchwork of state rules that could stifle entrepreneurship [123-132][189-199].


All three agreed that regulation should be proportionate, adaptable, and continuously reassessed [119-136][156-168][189-199].


Consensus and differences – The panel converged on three core points: (1) multilateral or collaborative structures are essential for equitable AI diffusion and for giving smaller economies a voice; (2) regulatory measures should be incremental, context-specific, and regularly reviewed; (3) AI is viewed as a catalyst for societal betterment-through infrastructure and innovation in the United States, quality-of-life-oriented diffusion in the UAE, and diagnostic tools guiding development in Costa Rica [12-18][33-38][44-58]. Divergences emerged around the purpose of diffusion (well-being vs. strategic geopolitical sharing) [30-38][12-20], the preferred architecture of multilateral governance (UAE as global convener vs. regional-first coalitions), and regulatory methodology (step-by-step stakeholder engagement vs. a uniform nationwide framework) [119-136][190-197].


Closing remarks – Dr Saran thanked the panel. The United States reaffirmed its commitment to formalise the AI Accelerator partnership with the UAE and to expand the PaxSilica supply-chain initiative [87-95][101-107]. The UAE reiterated its role as a convening hub-through the World Government Summit and other forums-and its incremental regulatory stance [84-86][119-136]. Costa Rica announced continued work with the OECD on the AI-readiness toolkit and called for deeper regional cooperation among Latin-American and Caribbean states [44-58][73-80]. Unresolved issues include the precise design of future multilateral institutions, harmonisation of data-governance standards, and the calibration of incremental regulatory restrictions across jurisdictions. The panel left the audience with a hopeful outlook that coordinated international effort and context-sensitive policy will enable AI to deliver broad societal benefits while managing its risks [133-138].


Session transcriptComplete transcript of the session
Speaker 1

Ladies and gentlemen, I would now like to invite on stage speakers for our next remarkable panel discussion. I would like to invite our esteemed speakers, Her Excellency Paula Bogante Zamora, Minister of Science and Technology, Costa Rica. His Excellency Omar Al -Olamah, Minister of State for AI, United Arab Emirates. Mr. Sriram Krishnan, Senior Policy Advisor for AI, White House. This discussion will be moderated by Dr. Samir Saran, President, Observer Research Foundation. Could I please request our esteemed panelists to kindly come on the stage?

Dr. Samir Saran

Good afternoon. We have 20 minutes and we have a fantastic panel. So I’m going to dive straight into the conversations. we’ve been here through the day and we’ve heard a few ideas and and propositions and i’m going to basically ask each one of you to elaborate from your vantage points on some of those propositions the first of course would be what does impact and diffusion mean where you sit the opportunity and the challenges of ai are of course different and differentially experienced so from your vantage point what does impact mean from your national perspective and a global perspective and of course the diffusion opportunity and maybe i can start with sriram the diffusion opportunity that we are sitting on today

Sriram Krishnan

thank you for having me it’s such an honor to be here i want to congratulate you know prime minister modi and everyone for just having this fantastic event and it’s been such a privilege to be here these last few days i know we have 20 minutes i’ll keep this very short With the Trump administration, when we got into office about 13 months ago, we decided President Trump immediately charted us with coming up with an AI action plan. And it came from a sense of positivity and optimism when it comes to AI. And in July last year, we set three priorities for what we believe America should follow. One, we want to build infrastructure. So President Trump has done a lot of work on making sure we can build data centers, making sure that we build grid capacity, making sure that we can build infrastructure, while at the same time, without having regular Americans see their power and energy bills go up.

So that’s infrastructure. There’s a lot more there, but in the interest of time, I’ll just keep going. Number two is innovation. At the heart of AI are amazing entrepreneurs and builders, a lot of whom you saw on stage here this morning. And we want to be sure that they can continue building these amazing models and applications and chips and everything else they do. So we’ve been doing a lot of work there. And I think most essentially, we’ve been trying to make sure they’re not encumbered by red tape and bureaucracy. So President Trump signed an executive order in December, which tries to stop onerous legislation from getting in the way of innovation. And third is we want to share this technology with our allies and the rest of the world, whether it is our advanced chips from NVIDIA or AMD or Google, or whether it be the models and applications on top.

We want to share our technology with our partners all over the world. And we’ve been doing a lot of work there. And we’ve been spending a lot of time on that. So those are the three things that we have been focused on.

Dr. Samir Saran

Great. Minister Alulama, let me turn to you. Again, a powerhouse in the region, powerhouse globally now. AI, a big feature of your government, a big priority in the bilateral as well between UAE and India. How do you see the opportunity, Minister, in terms of both the ability to empower your own people and region, but also others around the world, the role UAE can play here?

Omar Al Olama

Thank you very much. And I must say that it’s very impressive to see India convene the world on such an important subject like artificial intelligence. And also hearing His Excellency Prime Minister Modi this morning emphasize how India wants to not just be a champion for the global south, but the champion for transparent AI, the champion for open source systems. And that is reassuring, especially in a world where we have haves and have nots. And if I’m going to reflect that on the UAE, we are a country that is blessed to be part of the haves, right? We are a country that has infrastructure that is able to build artificial intelligence. And that is incredible. We are able to diffuse it across society.

So if you look at Microsoft’s AI diffusion report, the UAE ranks first globally. locally in the UAE the main focus is AI for quality of life improvement if you look at it some countries are looking for economic gains others are looking for political advantages we are looking for quality of life improvement because we believe that this will translate into every other domain in the future if you look at externally we were at a certain point of time in our history have not so we were a country that wasn’t as rich as it was pre -oil and in that we understand the need to give back and the need to invest alongside and the need to create with others and you see that the UAE played a big role in building data centers and empowering people with AI literacy and you know being able to use AI across Africa Latin America and many other continents as well I think we’re going to continue to do that

Dr. Samir Saran

Minister I want to ask you one short question you were the first minister of AI in the world

Omar Al Olama

yes

Dr. Samir Saran

like do you have bragging rights now like does everyone come and like bow to you

Omar Al Olama

and actually you know what saddens me is I expected by 2026 that every country will have a minister of AI and we still haven’t gotten to that point yet but thank you

Dr. Samir Saran

and I know that Minister Alulama became a minister before he did his military service so that’s something all of us should think about you they picked the right man for the right job so I think well done to the leadership in UAE Minister Zamora another small country another beautiful country again another country that could really transform itself using the power of AI and of course there are headwinds that you need to encounter so from your vantage point how do you assess this opportunity this challenge perhaps this transformative engine

Paula Bogantes Zamora

so the one thing is that we need to you know talk about and have clear for everyone to understand is that the reality from countries that have passed like your excellency was saying is way different from the ones that have not right or don’t have weak i come from a small country 5 .2 million people which is laughable from india standards uh small economy one of the smallest countries in latin america and we have done a lot of things better than other latin american countries the truth of the matter is depending on who do you compare we’re way lower than we or we have much more to improve than what we thought we had to do ai has one of the things that ai is bringing to up to our attention is we have to do a diagnosis as to where do you stand on the road of improvement economy improvement and you have to face reality in the sense of this is where you need to focus on and that’s what ai is bringing up to our attention so and this is a homework that every country has to do and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do it and we have to do that are way ahead of the others, they need to look at us and say, how do we help you with the AI implementation?

And by the way, what do I mean by that? 70 % of 190 plus countries have implemented 5G. You cannot think of AI without 5G. So what are we doing to help the countries that are

Dr. Samir Saran

– In the government folks. Right.

Paula Bogantes Zamora

What are they doing? How can we help them? When we started working on an AI strategy, four countries out of 33 Latin American Caribbean countries had an AI strategy, four out of 33. So what did we do? We spoke with the OECD. We’re working on an AI toolkit to help every country understand where do they stand. So again, what is AI doing to us is bringing to our attention, where do you stand in the AI race and what do you need to do to keep improving? But we’re not going to be able to get to the AI race. That’s the ideal point unless – the countries that are ahead of us, look down and say, this is where we should be helping.

More than just bringing AI solutions is how do you build the base to then start implementing AI solutions?

Dr. Samir Saran

You raise a very important point. How is global cooperation going to play out in this domain? How are partnerships going to serve humanity? I think that’s one of the key principal conversations we want at this forum, right? So let me ask you. Let me start the second round with you on what is the kind of multilateralism that is likely to emerge and how can countries with 5 million population, but by the way, let me just tell you, Minister, between India and Costa Rica together, we are 1 .5 billion people. So don’t worry. It’s big numbers. So we will negotiate together. Now, my question to you is, what kind of multilateralism is going to work for countries such as yourselves?

Is it going to be through a regional grouping basis? Is it going to be through? Is it going to be through like -minded? Is it going to be through a regional grouping basis? countries, how is the multilateral arrangement of the future going to look like?

Paula Bogantes Zamora

I think a little bit of both. You know, you said India and Costa Rica. Let’s talk about Latin America and the Caribbean. If we combine all 33 countries, we’re talking 650 million people. Then the number sounds attractive, right? So I do think that we need to like -minded countries get together within regions and start negotiating or deciding what the path is going to be. And we can do it with countries from other regions, say Asia and Costa Rica or Africa and Latin America, not Costa Rica. The truth of the matter is we’re sharing some common problems, some countries, small economies, for example. What do we need to do to make sure that we keep moving forward and we call the attention on the countries that are, you know, in the upper floors, let’s say.

Catch their attention, right?

Dr. Samir Saran

Minister Alulama, you’ve been in this forever, so tell me how is the World Government Summit and the big events that you host, how do you think partnerships are going to emerge in this particular technology domain, in this highly polarized world people are being forced to choose how do we retain the ability to be able to build bridges across

Omar Al Olama

so this has evolved as a discussion and things have changed drastically over the past nine years since I was appointed, historically no one was talking about you know trying to confidentially keep what they have for themselves and not discuss it with others or trying to create groups of you know influence whether it’s on the left or on the right but with the advent of LLMs and very powerful AI systems that can do things that historically were not even seen to be possible in the next 10 or 20 years, we’re seeing a shift in narrative the UAE’s approach has always been the world needs a convener the world needs a place where you can have dialogue and I think what is going to harm the world is ensuring that there isn’t dialogue and there are silos even at the height of the Cold War there were dialogues on nuclear proliferation there were dialogues on the danger of nuclear weapons and there were countries like Switzerland at the time where the world could come and talk about what is acceptable and what is unacceptable and we believe that the UAE can play that role it can convene the world it can come and put the topics of importance and it can ensure as well that we can magnify the voices not just of the countries in our region but as our Excellency the Minister said countries in Latin America and the Caribbean countries that today are unrepresented in this dialogue we attend the G20 meetings and there was a process on the Hiroshima Accords on AI and we are very happy to be here and we are very happy to be here and we are very happy to be here and we are very happy to be here And in that you can see it was only the 20 countries or 25 countries that were there.

The AI dialogue needs to be a global one. It cannot be one that is limited to one geography or one set of countries.

Dr. Samir Saran

Shriram, let me take from a U .S. perspective, from a Trump administration perspective, you are investing in building partnerships, whether it is a critical minerals group or the Paxilica that’s gained much currency in recent conversations. How is multilateralism of the future for you?

Sriram Krishnan

Before I get to that, I think I want to emphasize something which His Excellency, the Minister mentioned a moment ago, which is Prime Minister Modi just outlined a totally compelling vision for what AI can mean to all of humanity. And I think it was so compelling in so many themes. And I also want to particularly congratulate the Sarvam team for their launch yesterday. I think it is quite inspirational. terms of what a small team of entrepreneurs have accomplished in such a short time. And as somebody who kind of nerds out on these things, I found that very, very impressive. I think speaking for us in the administration, we approach this from a spirit of partnership.

We want to see the world leverage and use our technologies. You saw many of the companies represented here on stage today, whether it be our advanced semiconductor chips, whether it be people building models, or whether it be people building applications. You can kind of choose who you want to work with. If you want to build a model, you’re going to be training on NVIDIA or AMD. If you want to, you know, you’re probably going to be your use case. And if you look at the action plan, we have put a lot of emphasis into making sure we can can export our AI. Just to give you one example, we entered into this AI Accelerator Partnership with the UAE back in May last year as part of President Trump’s visit.

And I think that’s kind of the template for many more to come. You mentioned PacSilica. I think the announcement was done today. I think it’s going to be formalized tomorrow. That is another partnership headed up by my dear friend Jacob Helberg in the State Department, which is about how do we ensure supply chain security and do it with all of our allies. And we’ve had many amazing countries sent on to it, and I think it’s a great effort. So what I would emphasize is, you know, we are trying to approach this with the spirit of partnership, where we want to bring our technologies to our allies and to kind of really work with them together on all things AI.

Dr. Samir Saran

So let me pose the final question to this panel. As we reach our 20 -minute mark, I thought we should. perhaps look back at the first session this morning when I thought President Macron made a very interesting speech which had a number of issues that we could all take, we could actually have a debate on. You know, for example, one of the questions he raised was the nature of regulation. And I think the implicit in his speech was the question of the balance between innovation and restraint in some sense, right? So maybe as we conclude this conversation from all of the panelists, we could start with how do we see the future of AI regulation? And maybe Minister Alulama, I could start with you this time, then come to you, Minister Zamora, and end with you, Sriram, on regulation and what do you think about it?

So let me start with you.

Omar Al Olama

So are you commenting on President Macron’s statement on regulation?

Dr. Samir Saran

No, no, no. I’m just saying he kind of very early morning, he told us about some questions that we need to answer on safety, guardrails, care, care, empathy. That’s the question, right? So what are we designing it for?

Omar Al Olama

So there isn’t a one model fits all when it comes to regulating technology. And I think as well, there isn’t a country that’s going to get it right from the get -go because they are all knowing. And we’ve seen that through many iterations of different regulations that were put in place and then revoked and removed. In the UAE, our view is simple. First, we actually like to engage. So we engage aggressively with the different partners, whether it’s from the private sector or other countries as well. Second is we like to build up gradually rather than go from extreme to extreme. And I’ll give you a simple example. You’re going to realize that when ChatGPT came out, in a short period of time, there was a country in Europe, I’m not going to mention the country, who announced that they’re banning ChatGPT.

In the same month, the cabinet in the UAE announced that we are going to be in brief. We’re going to be embracing RLMs and ChatGPT completely. and getting as many people in the country to use these tools as possible. And this sounded counterintuitive. You know, why are they banning it and these guys are jumping on board? Our assessment was that this tool is going to be a net positive for the society. Now, with that, if there are negative ramifications, the way that we’re going to approach it is gradual restriction rather than going from zero to 100. That’s how the UAE approached it. And we typically like to work with others to ensure that our regulation as well are compatible with other, whether it’s blocks or countries.

So you see that there are certain regulations that are compatible with India. Many regulations are compatible with the US. And maybe Her Excellency the Minister will say this. For countries of our size, we can’t bully large companies. And I don’t think we can afford, and it’s true, we can’t afford to swing left and right on the pendulum just because we’re trying to threaten them. Our approach should always be approaches of cooperation, of collaboration, and also of continuous proactive assessment of the impact of artisans. I’m just going to end with one final example. Today, the conversations that social media is about, right? So this is one of the things that we are hearing. And my question is, it took social media.

So we’ve had social media for 15 years now. It took us 15 years to reach to that point. And today, the only answer is that we restrict. There has to be constant assessment and proactive engagement with the private sector, while at the same time putting constant restrictions, you know, slowly but continuously to ensure that you don’t have to go to the extreme. I know that Europe is very wise when it comes to them putting the regulations for themselves. Our approach in the UAE is to try to engage and see what comes out.

Dr. Samir Saran

Very diplomatic. But, you know, I think. Your point is well taken. Regulation is an art form and not necessarily the exercise of a Hammersmith, you know, policy option for the government. Very well taken. Minister Zamora, your view.

Paula Bogantes Zamora

So regulation, the way I see it, depends on the view of the beholder. Who are we talking about? Because I hear regulation and innovation. Sure, how much money the five big tech companies invested last year on innovation? Over $200 billion, which is also the amount of money India is planning on investing for the next two years. Costa Rica’s GDP is $100 billion. So that gives you a perspective. Innovation, what’s the average percentage invested on innovation per GDP for OECD members? 2 .7 % of the GDP. Costa Rica, 0 .30%. Latin America, 0 .65%. We’re not even at 1%. So we say, let’s regulate innovation. Let’s start innovating first, and let’s then regulate it. So as His Excellency was saying, it’s not a one -fits -all sort of formula.

And then I go back to… We have to think when talking about regulation, what is each country’s reality? How about data? Let’s talk about data. Data privacy, data governance. How about the value of data? Because some of the countries, that’s all we can provide because we have to still, again, we’re building, working on building blocks. How about the value of data, which at the end of the day, it’s what algorithms need to become better. How about talking about regulating data and the value of data? Those are things, again, it depends on the perspective of each country and what value can we provide, can we put on the table? And let’s discuss that because we can talk about ethics.

We can talk about governance. We can talk about the goal of AI, which should always be the improving of humans’ lives. But what is the reality of each country nowadays when thinking about data? I mean, of AI.

Dr. Samir Saran

Shriram, let me turn to you for the final word. The prime minister this morning, Indian prime minister. This morning said very eloquently. that AI is India’s destiny. And in some sense, that would define the governance approach for the opportunity that it offers us, right? So now in that backdrop, in the American tradition of building entrepreneurial value, how do you, where do you tilt on this debate?

Sriram Krishnan

Well, I think for us, we’ve always sort of seen AI through a lens of optimism and positivity in terms of what it can do for American citizens and the world at large. When it comes to regulation, there are some things which we absolutely do care about. We care about protecting children. We care about protecting IP rights. We care about making sure that AI doesn’t have censorship or doesn’t have ideological biases embedded of any kind. But having said that, what we are trying to battle right now with this executive order is we don’t want a patchwork of regulation. We are still very, very early when it comes to AI. And we don’t want to hinder innovation by having bureaucratic red tape or having in America 50 different states with 50 different rules that entrepreneurs have to deal with before they launch something.

So that’s been our approach. So it’s more about coherence and predictability and certainty that allows innovation. So, yes, we need clarity in regulation so that entrepreneurs can do what they do best.

Dr. Samir Saran

I think this has been a fantastic conversation. 20 minutes of pure content. So thank you very much to all three of you for coming to India, for sharing your wisdom with us. And, of course, best of luck for your AI journeys. And hopefully our paths will intersect and we will build a prosperous future together. Thank you very much.

Speaker 1

Please join me in applauding this. Thank you so much, Your Excellencies, for this insightful and enriching conversation. I thank Her Excellency Paula Poganty Zamora, His Excellency Omar Al -Olamah, Mr. Shriram Krishnan, and also Dr. Samir Surin for moderating this conversation. Ladies and gentlemen.

Related ResourcesKnowledge base sources related to the discussion topics (31)
Factual NotesClaims verified against the Diplo knowledge base (4)
Confirmedhigh

“Sriram Krishnan outlined a three‑pillar strategy for the U.S. AI Action Plan: infrastructure, innovation, and international sharing/partnership.”

The knowledge base states that Secretary S. Krishnan outlined three key priorities – building infrastructure, focusing on innovation, and maintaining a spirit of partnership – matching the report’s description [S3].

Confirmedmedium

“The United States is exporting advanced AI chips and models to the UAE as part of an AI Accelerator partnership.”

U.S. approvals for advanced AI chip exports to the UAE are documented, including a Microsoft-operated facility partnership and Nvidia licences, confirming the export component of the partnership [S112] and [S113].

Confirmedhigh

“Costa Rica is collaborating with the OECD on an AI‑readiness toolkit to help countries assess gaps and plan improvements.”

The knowledge base notes that Costa Rica, together with the OECD, is leading the development of the OECD AI Policy Toolkit for translating principles into implementation [S12] and that an OECD toolkit is a focus of the Open Forum discussion [S101].

Additional Contextmedium

“Costa Rica is moving from receiving international cooperation to providing knowledge and tools to regional neighbours, positioning itself as a regional AI hub.”

Additional context shows Costa Rica’s strategy development with over 50 institutions and its transition toward regional knowledge sharing, supporting the report’s regional-coalition ambition [S60].

External Sources (119)
S1
Dubai Future Council on AI meets for the first time — TheDubai Future Council on Artificial Intelligence held its first meeting in April 2019and started discussions on how ar…
S2
Conversation: 01 — – Omar Al Olama- Paula Bogantes Zamora – Sriram Krishnan- Omar Al Olama- Paula Bogantes Zamora – Sriram Krishnan- Omar…
S3
Partnering on American AI Exports Powering the Future India AI Impact Summit 2026 — -Mr. Sriram Krishnan- Senior Advisor for Artificial Intelligence at the Office of Science and Technology Policy, Panel m…
S4
https://dig.watch/event/india-ai-impact-summit-2026/partnering-on-american-ai-exports-powering-the-future-india-ai-impact-summit-2026 — Thank you so much, Mr. Kratios, for your ideas, your remarks, which are truly enlightening and illuminating as well. Lad…
S5
AI-Powered Chips and Skills Shaping Indias Next-Gen Workforce — -S. Krishnan- Role/Title: Secretary of METI (Ministry of Electronics and Information Technology)
S6
Keynote-Martin Schroeter — -Speaker 1: Role/Title: Not specified, Area of expertise: Not specified (appears to be an event moderator or host introd…
S7
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…
S8
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…
S9
Conversation: 01 — -Dr. Samir Saran- President, Observer Research Foundation (moderator of the panel discussion)
S10
World in Numbers: Risks / DAVOS 2025 — Samir Saran presented the report’s main points, highlighting that it tracks risk severity and volatility across societal…
S11
Defending the Cyber Frontlines / Davos 2025 — – Samir Saran: President of ORF (think tank in India) Ravi Agrawal: Hi, everyone. My name is Ravi Agrawal. I’m the E…
S12
AI Impact Summit 2026: Global Ministerial Discussions on Inclusive AI Development — -Paula Bogantes Zamora- Minister of Science, Innovation, Technology and Telecommunications of the Republic of Costa Rica
S13
Conversation: 01 — – Omar Al Olama- Paula Bogantes Zamora – Paula Bogantes Zamora- Dr. Samir Saran
S14
WS #53 Promoting Children’s Rights and Inclusion in the Digital Age — Speaker 1: Yes. So hi, everyone. When we talk about child rights online, so I’m gonna bring in a little bit from th…
S15
Opening & Plenary segment: Summit of the Future – General Assembly, 3rd plenary meeting, 79th session — Chair: I thank the President of the Republic of Namibia. We have heard the last speaker for the opening segment. Befo…
S16
WS #146 Domain Name System Abuse – Defined and Experienced — Speaker 1: Hello? Yes. So another example that we had quite a lot, especially in 2022 and in the buildup to the World…
S17
Open Forum #36 Challenges & Opportunities for a Multilingual Internet — Speaker 1: Thanks so much. Wow. It’s a privilege to be here and also to hear the speakers and thank you very much for…
S18
High-Level sessions: Setting the Scene – Global Supply Chain Challenges and Solutions — In closing, the speaker reiterates the invitation to Delve into this holistic and problem-solving summit, reaffirming th…
S19
WS #155 Digital Leap- Enhancing Connectivity in the Offline World — Speaker 1: Yeah, thanks, Omar. And ladies and gentlemen, it’s a great pleasure to speak to you. We all know that toda…
S20
State of Play: AI Governance / DAVOS 2025 — – Samir Saran: Moderator Abdullah AlSwaha: In a minute, Dr. Samir. You all have heard it from Mistral, IBM in France …
S21
(Interactive Dialogue 2) Summit of the Future – General Assembly, 79th session — 2. Strengthening Multilateralism and the UN System Angola: Thank you, President. President, all protocols observed, t…
S22
The History of Cyber Diplomacy Future — H.E. Shyam Saran emphasizes the importance of maintaining a balance between state regulation and private sector innovati…
S23
US AI Safety Institute staff left out of Paris summit delegation — Vice President JD Vancewill lead the US delegationto a major AI summit in Paris next week, but technical staff from the …
S24
Opening keynote — Doreen Bogdan-Martin:Good morning, and welcome to the AI for Good Global Summit. Let me start by thanking our more than …
S25
The Innovation Beneath AI: The US-India Partnership powering the AI Era — He sees a large opportunity for U.S. and Indian firms to co‑create companies that will build refining capacity and reduc…
S26
Internet Engineering Task Force Open Forum | IGF 2023 Town Hall #32 — Krishnan emphasizes the importance of inclusivity in problem-solving through collaboration. Inclusivity ensures that div…
S27
UAE AI Minister Omar Al Olama cautions against AI overregulation — Omar Al Olama, the world’s first minister of AI, cautionedagainst the perils of excessiveAI regulation, drawing parallel…
S28
Open Forum #76 Digital for Development: UN in Action — Saeed Al Dhaheri: Great, thank you. Thank you, Augustina. And thanks Judith for moderating this panel. I’m really ve…
S29
Ad Hoc Consultation: Monday 5th February, Morning session — Furthermore, Oman’s deliberate and balanced consideration of the proposals from Iraq and Angola illustrates a commitment…
S30
New Development Actors for the 21st Century / DAVOS 2025 — Badr Jafar: In many parts of the world it’s seen as playing on the peripheries and in some parts of the world it’s rega…
S31
Discussion Summary: US AI Governance Strategy Under the Trump Administration — The Trump administration’s AI action plan is structured around three main pillars and focuses on practical actions the e…
S32
WS #205 Contextualising Fairness: AI Governance in Asia — Yik Chan Chin: Yeah, I think the other work we are doing at the PNAI is interoperability. So first of all, we have to…
S33
Open Forum #30 High Level Review of AI Governance Including the Discussion — Lucia Russo: Thank you, Yoichi. Good morning and thank you my fellow panelists for this interesting discussion. As Yoich…
S34
Artificial intelligence (AI) – UN Security Council — During the9821st meetingof the Artificial Intelligence Security Council, a key discussion centered around whether existi…
S35
What is it about AI that we need to regulate? — What next for the Global Dialogue on AI Governance?The Global Dialogue on AI Governance is currently under development w…
S36
How to make AI governance fit for purpose? — – **Innovation focus** – Each representative emphasized avoiding over-regulation that could stifle technological advance…
S37
Leaders’ Plenary | Global Vision for AI Impact and Governance- Afternoon Session — “Look at the speed of diffusion.”[46]. “This, to me, is an example of the speed of execution of AI diffusion in India.”[…
S38
Panel Discussion Inclusion Innovation & the Future of AI — This comment introduces a sophisticated economic concept – the ‘diffusion machine’ – that explains why concentration in …
S39
Harnessing Collective AI for India’s Social and Economic Development — This panel discussion explored the role of artificial intelligence in promoting collective good and addressing societal …
S40
Opening Remarks (50th IFDT) — The overall tone was formal yet warm and celebratory. Speakers expressed pride in the IFDT’s accomplishments and gratitu…
S41
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…
S42
Any other business /Adoption of the report/ Closure of the session — In summary, the speaker artfully blended expressions of gratitude with recognition of collaborative efforts and a call f…
S43
Open Mic & Closing Ceremony — The overall tone was formal yet appreciative. There was a sense of accomplishment and gratitude expressed throughout, wi…
S44
Technology Regulation and AI Governance Panel Discussion — Regulatory approaches must be tailored to national contexts
S45
360° on AI Regulations — The advancements and widespread use of AI technology have raised concerns about its potential misuse. The dual-use natur…
S46
Democratizing AI Building Trustworthy Systems for Everyone — The historical perspective on technology diffusion offers both hope and urgency: success requires deliberate action acro…
S47
Building Population-Scale Digital Public Infrastructure for AI — There was unexpected consensus that successful technology diffusion occurs when technology becomes so integrated and int…
S48
Indias AI Leap Policy to Practice with AIP2 — This established the conceptual framework for the entire discussion, moving away from standardized solutions toward cont…
S49
AI and Global Power Dynamics: A Comprehensive Analysis of Economic Transformation and Geopolitical Implications — But the second aspect of competition is really diffusion or adoption. As each country and the companies from each countr…
S50
Conversation: 01 — Al-Olama advocated for “gradual restriction rather than going from zero to 100,” contrasting the UAE’s immediate embrace…
S51
Keynotes — The main areas of disagreement center on regulatory philosophy (soft vs. comprehensive regulation) and the role of crisi…
S52
Open Forum #82 Catalyzing Equitable AI Impact the Role of International Cooperation — The discussion showed remarkable consensus on identifying problems (infrastructure gaps, skills shortages, data availabi…
S54
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…
S55
Trade regulations in the digital environment: Is there a gender component? (UNCTAD) — In conclusion, the analysis reinforces the potential of digitalisation and emerging technologies, such as artificial int…
S56
Artificial Intelligence & Emerging Tech — Tanara Lauschner:Thank you Jennifer. Hello everyone. First of all I would like to thank the IGF Secretariat for organizi…
S57
Interdisciplinary approaches — AI-related issues are being discussed in various international spaces. In addition to the EU, OECD, and UNESCO, organisa…
S58
Laying the foundations for AI governance — High level of consensus on problem identification and broad solution directions, suggesting significant potential for co…
S59
State of play of major global AI Governance processes — It is likely to reach a consensus on the need to evolve a common framework that meets the dual requirements of leveragin…
S60
What policy levers can bridge the AI divide? — Both speakers represent smaller countries but have fundamentally different approaches to their role in AI development. S…
S61
AI Impact Summit 2026: Global Ministerial Discussions on Inclusive AI Development — We deeply appreciate the kind hospitality we have received this week in India at the India AI Impact Summit. Costa Rica …
S62
Revisiting 10 AI and digital forecasts for 2025: Predictions and Reality — Digital networks and AI developments are critical assets for countries worldwide. Thus, they become central to national …
S63
Balancing act: advocacy with big tech in restrictive regimes | IGF 2023 — Online platforms have become the primary source of news, making this form of censorship particularly impactful. Non-comp…
S64
Better governance for fairer digital markets: unlocking the innovation potential and leveling the playing field (UNCTAD) — Larger companies are economically larger than some countries expected to regulate them Regulation can address the disad…
S65
Ministerial Roundtable — Economic and Regulatory Challenges Over-the-top tech giants are spreading technology globally and generating billions i…
S66
Dare to Share: Rebuilding Trust Through Data Stewardship | IGF 2023 Town Hall #91 — The analysis highlights the importance of a more nuanced regulatory approach towards data sharing. Currently, regulation…
S67
Decoding the UN CSTD Working Group on Data Governance – draft — Political context:Stated that politics lurks in the background of the work, leading to divergent views on the meaning an…
S68
Rule of Law for Data Governance | IGF 2023 Open Forum #50 — Furthermore, the analysis challenges the notion of a fictitious debate around ‘trust’ in data governance. Despite varyin…
S69
Informal Stakeholder Consultation Session — Approaching Data Governance through a Data Justice Lens:Advocated for looking beyond individual privacy to consider the …
S70
Discussion Summary: US AI Governance Strategy Under the Trump Administration — The Trump administration seeks to facilitate global participation in AI infrastructure development, representing a signi…
S71
Conversation: 01 — This panel discussion focused on the global impact and diffusion of artificial intelligence, featuring ministers and pol…
S72
Open Forum #30 High Level Review of AI Governance Including the Discussion — ### Government Priorities: Capacity and Implementation Melinda Claybaugh: Thank you so much for the question, and thank…
S73
Artificial intelligence (AI) – UN Security Council — During the9821st meetingof the Artificial Intelligence Security Council, a key discussion centered around whether existi…
S74
What is it about AI that we need to regulate? — What next for the Global Dialogue on AI Governance?The Global Dialogue on AI Governance is currently under development w…
S75
Open Forum #33 Building an International AI Cooperation Ecosystem — Dai Wei: Distinguished guests, ladies and gentlemen, good day to you all. I’m delighted to join you in this United Natio…
S76
(Plenary segment & Closing) Summit of the Future – General Assembly, 6th plenary meeting, 79th session — 8. Regional Cooperation: Representatives from various regional organizations emphasized their role in supporting multila…
S77
How to make AI governance fit for purpose? — – **Innovation focus** – Each representative emphasized avoiding over-regulation that could stifle technological advance…
S78
Panel Discussion AI & Cybersecurity _ India AI Impact Summit — Artificial intelligence | Capacity development | Social and economic development
S79
Responsible AI for Shared Prosperity — Social and economic development Social and economic development | Artificial intelligence
S80
Leaders’ Plenary | Global Vision for AI Impact and Governance- Afternoon Session — “Look at the speed of diffusion.”[46]. “This, to me, is an example of the speed of execution of AI diffusion in India.”[…
S81
Harnessing Collective AI for India’s Social and Economic Development — This panel discussion explored the role of artificial intelligence in promoting collective good and addressing societal …
S82
Open Mic & Closing Ceremony — The overall tone was formal yet appreciative. There was a sense of accomplishment and gratitude expressed throughout, wi…
S83
Opening Remarks (50th IFDT) — The overall tone was formal yet warm and celebratory. Speakers expressed pride in the IFDT’s accomplishments and gratitu…
S84
Opening and introduction — There is an upcoming updated program after the opening ceremony
S85
Summit Opening Session — The tone throughout is consistently formal, diplomatic, and collaborative. Speakers maintain an optimistic and forward-l…
S86
World Economic Forum Annual Meeting Closing Remarks: Summary — The tone is consistently positive, celebratory, and grateful throughout the discussion. It begins with formal appreciati…
S87
Governments, Rewired / Davos 2025 — The overall tone was optimistic and forward-looking, with speakers highlighting the transformative potential of technolo…
S88
Powering the Technology Revolution / Davos 2025 — The tone was generally optimistic and forward-looking, with panelists highlighting opportunities for innovation and prog…
S89
Inclusive AI Starts with People Not Just Algorithms — The tone was consistently optimistic and empowering throughout the discussion. Speakers maintained an enthusiastic, forw…
S90
Press Conference: Closing the AI Access Gap — Moreover, the speakers argue that AI can drive productivity, creativity, and overall economic growth. It has the capacit…
S91
Bridging the AI innovation gap — The tone is consistently inspirational and collaborative throughout. The speaker maintains an optimistic, forward-lookin…
S92
Ad Hoc Consultation: Friday 9th February, Morning session — Furthermore, their position can be perceived as a strategic and insightful move, signalling to other delegates their wid…
S93
Ad Hoc Consultation: Thursday 8th February, Morning session — In conclusion, Vanuatu’s approach is both collaborative and realistic, exemplifying a balance between aspirational perfe…
S94
Ad Hoc Consultation: Tuesday 30th January, Afternoon session — Both instances of diplomatic engagement are infused with positive sentiment, denoting an inclusive and amenable foreign …
S95
Ad Hoc Consultation: Thursday 8th February, Afternoon session — Albania’s acknowledgement of the “distinguished delegations” alludes to a series of constructive contributions that had …
S96
Ad Hoc Consultation: Wednesday 31st January, Afternoon session — Its stances reflect a nation that values stakeholder consultation, demands legal clarity, favours preserving protocol co…
S97
Closing Ceremony and Chair’s WSIS+20 Forum High-Level Event Summary — – Appreciation was shown for the multifaceted collaborations amongst attendees, with special praise for the interns and …
S98
Any other business /Adoption of the report/ Closure of the session — In conclusion, the delegate reiterated his gratitude, acknowledging the extensive labours and patience exhibited by the …
S99
[Parliamentary Session Closing] Closing remarks — Participants expressed gratitude to the organizers and hosts, and made suggestions for follow-up actions, such as sharin…
S100
Closing remarks — The tone is consistently celebratory, optimistic, and forward-looking throughout the discussion. It maintains an enthusi…
S101
Open Forum #58 Collaborating for Trustworthy AI an Oecd Toolkit and Spotlight on AI in Government — – **Marlon Avalos**: Online Director of Research Development and Innovation at the Ministry of Science and Technology fr…
S102
(Day 2) General Debate – General Assembly, 79th session: morning session — This transcript covers speeches from multiple world leaders at the 79th United Nations General Assembly. The central the…
S103
(Day 5) General Debate – General Assembly, 79th session: afternoon session — The 79th session of the UN General Assembly general debate reflected a shared concern for global challenges and a call f…
S104
(Day 1) General Debate – General Assembly, 79th session: morning session — These key comments shaped the discussion by highlighting critical challenges to the current international order, particu…
S105
We are the AI Generation — In her conclusion, Martin articulated that the fundamental question should not be “who can build the most powerful model…
S106
Keynote by Vivek Mahajan CTO Fujitsu India AI Impact Summit — But then this technology, the compute networks, as well as the AI platform stack, comes together in edge devices. Robots…
S107
Main Topic 3: Europe at the Crossroads: Digital and Cyber Strategy 2030 — Augusto Fragoso: Good afternoon, all. First of all, I would like to thank Eurodig for this opportunity. It’s always very…
S108
How data centres affect electricity, prices, water consumption and jobs — Data centreshave becomecritical infrastructure for modern economies, supporting services ranging from digital communicat…
S109
WS #43 States and Digital Sovereignty: Infrastructural Challenges — Ekaterine Imedadze: Thank you so much for amazing question. Thank you. Actually, you pointed out in the question, the to…
S110
https://dig.watch/event/india-ai-impact-summit-2026/conversation-01 — So that’s infrastructure. There’s a lot more there, but in the interest of time, I’ll just keep going. Number two is inn…
S111
Comprehensive Report: European Approaches to AI Regulation and Governance — The EU has committed to cutting 25% of red tape for companies generally and 35% for SMEs and startups. To support innova…
S112
AI chip export to UAE gets green light from US authorities — The US governmenthas authorisedthe export of advanced AI chips to a Microsoft-operated facility in the United Arab Emira…
S113
US greenlights Nvidia chip exports to UAE under new AI pact — The UShas approvedits first export licences for Nvidia’s advanced AI chips destined for the United Arab Emirates, markin…
S114
US Commerce Department tightens AI chip exports to Middle East and Central Asia — The US Commerce Department hastightenedexport restrictions on advanced chip shipments to specific Middle East and Centra…
S115
https://dig.watch/event/india-ai-impact-summit-2026/leaders-plenary-global-vision-for-ai-impact-and-governance-afternoon-session — No, I’ll talk about something. Prime Minister Modi, first of all, congratulations. Congratulations on a fantastic summit…
S116
(Interactive Dialogue 3) Summit of the Future – General Assembly, 79th session — Omran Sharaf: Co-Chairs, Excellencies, The United Arab Emirates is pleased to participate in the Summit of the Future,…
S117
G42 aims to transform UAE into AI powerhouse despite challenges — G42, an ambitious AI company based in the UAE, ispositioningitself as a central player in transforming the UAE into an A…
S118
Generative AI: Steam Engine of the Fourth Industrial Revolution? — Contrary to this negative perception, the United Arab Emirates (UAE) recognises the power of artificial intelligence and…
S119
Biden and UAE leader to discuss tech advancements amid China concerns — The United Arab Emirates (UAE) President Sheikh Mohamed bin Zayed Al Nahyan is set to meetUSPresident Joe Biden at the W…
Speakers Analysis
Detailed breakdown of each speaker’s arguments and positions
S
Speaker 1
2 arguments119 words per minute132 words66 seconds
Argument 1
Opening invitation and speaker rollout
EXPLANATION
Speaker 1 welcomes the audience, announces the panelists and the moderator, and invites the distinguished guests to come on stage for the discussion.
EVIDENCE
The host greets the audience, lists the names and titles of the Minister of Science and Technology of Costa Rica, the Minister of State for AI of the UAE, the Senior Policy Advisor for AI from the White House, and the moderator, then asks the panelists to join the stage [1-6].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The host’s invitation of panelists, including Paula Bogantes Zamora and Omar Al Olama, is documented in the conversation transcript [S2].
MAJOR DISCUSSION POINT
Opening of the panel
Argument 2
Closing thanks and applause invitation
EXPLANATION
Speaker 1 concludes the event by thanking the ministers and the moderator, and asks the audience to applaud the participants.
EVIDENCE
The host thanks the Excellencies, the panelists and the moderator, and invites the audience to applaud the conversation [205-207].
MAJOR DISCUSSION POINT
Closing remarks
D
Dr. Samir Saran
3 arguments183 words per minute970 words317 seconds
Argument 1
Defining “impact and diffusion” for the panel
EXPLANATION
Dr. Saran asks the panelists to explain what “impact” and “diffusion” mean from both national and global perspectives, setting the thematic frame for the discussion.
EVIDENCE
He introduces the 20-minute session and explicitly asks what impact and diffusion mean for each participant’s country and globally [7-8].
MAJOR DISCUSSION POINT
Clarifying impact and diffusion
Argument 2
Query on future multilateral frameworks
EXPLANATION
Dr. Saran probes how multilateral cooperation might be organised for small and medium‑sized countries, suggesting regional or like‑minded groupings as possible models.
EVIDENCE
He asks what kind of multilateralism will work for countries of five-million population, whether it will be regional, cross-regional, or based on shared interests [65-72].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Discussion of strengthening multilateralism and the role of the UN system provides context for Saran’s question about regional or interest-based multilateral models [S21].
MAJOR DISCUSSION POINT
Future multilateralism
Argument 3
Prompting discussion on balance of innovation vs restraint
EXPLANATION
Dr. Saran frames the regulatory debate by referring to President Macron’s remarks, highlighting the tension between fostering innovation and imposing safeguards.
EVIDENCE
He mentions Macron’s speech and the need to answer questions about safety, guardrails, empathy, and what AI should be designed for [108-112].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The need to balance state regulation with private-sector innovation is highlighted in an analysis of cyber diplomacy that stresses the state’s driving role while encouraging private partnerships [S22].
MAJOR DISCUSSION POINT
Innovation‑regulation balance
S
Sriram Krishnan
3 arguments165 words per minute923 words333 seconds
Argument 1
US three‑pillar plan (Sriram Krishnan)
EXPLANATION
Sriram outlines the United States’ AI strategy under the Trump administration, organised around three pillars: building infrastructure, encouraging innovation, and sharing technology with allies.
EVIDENCE
He describes the infrastructure pillar (data-centres, grid capacity, affordable energy) [12-14], the innovation pillar (supporting entrepreneurs, reducing red-tape, executive order) [15-20], and the sharing pillar (exporting chips, models, and applications to partners) [21-24].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Krishnan’s outline of the Trump administration’s three-pillar AI strategy-infra, innovation, and sharing-is recorded in the conversation summary [S2].
MAJOR DISCUSSION POINT
Three‑pillar US AI strategy
DISAGREED WITH
Omar Al Olama
Argument 2
US partnership model – AI Accelerator, supply‑chain groups (Sriram Krishnan)
EXPLANATION
Sriram cites concrete US‑led partnership initiatives, including an AI Accelerator partnership with the UAE and a supply‑chain security programme (PacSilica) involving multiple allies.
EVIDENCE
He mentions the AI Accelerator partnership signed with the UAE in May [101-102] and the PacSilica supply-chain security initiative announced that day and to be formalised tomorrow [103-105], noting its role in ensuring secure AI supply chains [106-107].
MAJOR DISCUSSION POINT
US partnership initiatives
Argument 3
Coherent, non‑fragmented rules to protect children, IP, bias (Sriram Krishnan)
EXPLANATION
Sriram stresses that US regulation should be consistent across states, safeguarding children, intellectual‑property rights and preventing ideological bias, while avoiding a patchwork of divergent state rules.
EVIDENCE
He lists the regulatory priorities-protecting children, IP rights, and avoiding bias-and explains the desire to prevent 50 different state regulations that could hinder entrepreneurs [190-197].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The call for coherent, predictable regulation that safeguards children, intellectual-property rights and avoids bias while limiting bureaucratic hurdles appears in the same discussion transcript [S2].
MAJOR DISCUSSION POINT
Need for coherent AI regulation
DISAGREED WITH
Omar Al Olama
O
Omar Al Olama
3 arguments183 words per minute1183 words385 seconds
Argument 1
UAE quality‑of‑life‑driven diffusion (Omar Al Olama)
EXPLANATION
Omar says the UAE’s AI agenda is centred on improving citizens’ quality of life, positioning the country as a global leader in AI diffusion rather than focusing solely on economic or political gains.
EVIDENCE
He praises India’s transparent AI stance, notes the UAE’s strong infrastructure, cites Microsoft’s AI diffusion report ranking the UAE first globally, and explains the domestic focus on quality-of-life improvements that will cascade to other domains [33-38].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The UAE’s emphasis on AI for improving citizens’ quality of life, and its expectation that this will cascade to other domains, is noted in the moderator’s remarks [S2].
MAJOR DISCUSSION POINT
Quality‑of‑life focus in UAE AI diffusion
DISAGREED WITH
Sriram Krishnan
Argument 2
UAE as global convener and dialogue hub (Omar Al Olama)
EXPLANATION
Omar argues that the UAE should act as a neutral convenor for worldwide AI dialogue, hosting forums and ensuring inclusive participation beyond the traditional power blocs.
EVIDENCE
He describes the UAE’s role as a global convener, participation in G20 meetings, involvement in the Hiroshima Accords on AI, and the need to bring voices from Latin America and the Caribbean into the conversation, noting that only 20-25 countries were represented in earlier AI dialogues [84-86].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Omar’s positioning of the UAE as a neutral convener for worldwide AI dialogue, aiming to include under-represented regions, is documented in the conversation notes [S2].
MAJOR DISCUSSION POINT
UAE as AI dialogue convener
DISAGREED WITH
Paula Bogantes Zamora
Argument 3
Gradual, engagement‑driven regulation (Omar Al Olama)
EXPLANATION
Omar outlines the UAE’s regulatory philosophy: proactive engagement with stakeholders, incremental restrictions, and continuous impact assessment, illustrated by its response to ChatGPT.
EVIDENCE
He mentions aggressive engagement with private and public partners [123-125], a gradual build-up of rules rather than extremes [126-132], the decision to embrace ChatGPT while another European country banned it [127-133], and the ongoing process of incremental restriction and compatibility with other jurisdictions [134-138].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The minister’s caution against over-regulation and preference for incremental, stakeholder-engaged rules is highlighted in a separate statement on AI regulation [S27] and reinforced by the engagement-focused remarks in the panel transcript [S2].
MAJOR DISCUSSION POINT
UAE’s incremental regulatory approach
DISAGREED WITH
Paula Bogantes Zamora
P
Paula Bogantes Zamora
3 arguments216 words per minute1086 words300 seconds
Argument 1
Costa Rica diagnostic & toolkit approach (Paula Bogantes Zamora)
EXPLANATION
Paula stresses that countries need a clear diagnosis of their AI readiness and a practical toolkit, highlighting Costa Rica’s efforts to develop such resources and assist other nations.
EVIDENCE
She notes that only four of thirty-three Latin American and Caribbean countries have AI strategies, describes collaboration with the OECD, and explains the creation of an AI toolkit to help nations assess their position, also linking AI readiness to 5G deployment [52-56].
MAJOR DISCUSSION POINT
AI readiness diagnosis and toolkit
Argument 2
Regional‑plus‑cross‑regional alliances (Paula Bogantes Zamora)
EXPLANATION
Paula proposes that like‑minded countries first organise regionally and then cooperate across regions to address shared AI challenges, using Latin America and the Caribbean as an example.
EVIDENCE
She cites the combined population of 33 Latin American and Caribbean countries (650 million), calls for regional negotiations, and suggests partnerships with Asia, Africa, or other regions to draw attention from more advanced economies [73-82].
MAJOR DISCUSSION POINT
Regional and cross‑regional AI cooperation
DISAGREED WITH
Omar Al Olama
Argument 3
Regulation aligned with national capacity & data focus (Paula Bogantes Zamora)
EXPLANATION
Paula argues that AI regulation must reflect each country’s economic reality, emphasizing data governance, privacy, and the value of data as foundational elements for any regulatory framework.
EVIDENCE
She compares investment in innovation (US $200 bn, India’s planned $200 bn, Costa Rica’s GDP $100 bn), shows Costa Rica’s low innovation spend (0.30 % of GDP), and calls for regulation that addresses data privacy, governance, and data value, tailored to each nation’s circumstances [156-178].
MAJOR DISCUSSION POINT
Tailored regulation and data governance
DISAGREED WITH
Omar Al Olama
Agreements
Agreement Points
All panelists stress the necessity of multilateral or collaborative frameworks for AI diffusion and governance.
Speakers: Omar Al Olama, Paula Bogantes Zamora, Sriram Krishnan
UAE as global convener and dialogue hub Regional‑plus‑cross‑regional alliances US partnership model – AI Accelerator, supply‑chain groups
Omar highlights the UAE’s role as a neutral convener that brings under-represented regions into the AI dialogue [84-86]; Paula calls for like-minded countries to first cooperate regionally and then across regions to address shared AI challenges [73-82]; Sriram points to concrete US-led partnership initiatives such as the AI Accelerator with the UAE and the PacSilica supply-chain programme as templates for broader cooperation [101-107].
POLICY CONTEXT (KNOWLEDGE BASE)
This consensus mirrors calls for inclusive, cross-border AI governance in UN-IGF and UNESCO discussions and aligns with the collaborative policy vision outlined in the Inclusive AI framework [S54] and the high-level agreement on coordinated action in AI governance processes [S58][S59].
Regulation of AI should be proportionate, incremental, and adapted to national capacities rather than imposing blanket bans.
Speakers: Omar Al Olama, Sriram Krishnan, Paula Bogantes Zamora
Gradual, engagement‑driven regulation Coherent, non‑fragmented rules to protect children, IP, bias Regulation aligned with national capacity & data focus
Omar describes an engagement-first approach with gradual restrictions, exemplified by the rapid adoption of ChatGPT while monitoring impacts [119-133][134-138]; Sriram stresses the need for coherent, predictable rules that protect children, IP and avoid bias without creating a patchwork of state regulations [190-197]; Paula argues that regulation must reflect each country’s economic reality and focus on data governance, privacy and value, given differing innovation spend levels [156-168][172-178].
POLICY CONTEXT (KNOWLEDGE BASE)
Panelists echo the principle that AI regulation must be tailored to national contexts, as highlighted in the Technology Regulation and AI Governance panel [S44] and India’s contextual adaptation approach [S48]; the preference for gradual restriction over abrupt bans was also voiced by the UAE representative [S50] and reflected in debates on soft versus comprehensive regulation [S51][S52].
AI is viewed as a catalyst for improving quality of life and broader social‑economic development.
Speakers: Omar Al Olama, Paula Bogantes Zamora, Sriram Krishnan
UAE quality‑of‑life‑driven diffusion Costa Rica diagnostic & toolkit approach US three‑pillar plan (infrastructure, innovation, sharing)
Omar emphasizes that the UAE’s AI agenda is centred on quality-of-life improvements that will cascade to other domains [33-38]; Paula notes that Costa Rica is developing an AI diagnostic toolkit to help nations assess readiness and that AI deployment is linked to 5G rollout, aiming to boost development outcomes [44-46][52-56]; Sriram outlines the US strategy focused on building infrastructure, fostering innovation and sharing technology to benefit citizens and allies [12-18][19-20].
POLICY CONTEXT (KNOWLEDGE BASE)
The view of AI as a driver of social-economic progress is consistent with democratizing AI narratives emphasizing societal benefit [S46], UNCTAD’s emphasis on AI for inclusive growth [S55], and Costa Rica’s AI strategy focused on quality-of-life outcomes [S61].
Similar Viewpoints
Both advocate for bringing under‑represented regions, especially Latin America and the Caribbean, into the global AI conversation—Omar by positioning the UAE as a convening platform and Paula by urging regional coalitions that then engage cross‑regionally [84-86][73-82].
Speakers: Omar Al Olama, Paula Bogantes Zamora
UAE as global convener and dialogue hub Regional‑plus‑cross‑regional alliances
Both see bilateral and multilateral partnership mechanisms as essential for AI diffusion—Sriram cites the AI Accelerator partnership with the UAE, while Omar stresses the UAE’s role in convening global AI dialogue and fostering partnerships [101-107][84-86].
Speakers: Sriram Krishnan, Omar Al Olama
US partnership model – AI Accelerator, supply‑chain groups UAE as global convener and dialogue hub
Both agree that AI regulation must be tailored and avoid one‑size‑fits‑all approaches—Sriram calls for coherent, predictable rules, while Paula stresses regulation that matches each country’s capacity and data realities [190-197][156-168][172-178].
Speakers: Sriram Krishnan, Paula Bogantes Zamora
Coherent, non‑fragmented rules to protect children, IP, bias Regulation aligned with national capacity & data focus
Unexpected Consensus
Both a high‑income, oil‑rich nation (UAE) and a small, lower‑income country (Costa Rica) prioritize quality‑of‑life outcomes over purely economic or geopolitical gains in their AI strategies.
Speakers: Omar Al Olama, Paula Bogantes Zamora
UAE quality‑of‑life‑driven diffusion Costa Rica diagnostic & toolkit approach
Despite vastly different economic contexts, Omar frames the UAE’s AI agenda around improving citizens’ quality of life as the primary driver [33-38], while Paula emphasizes AI’s role in national development and the need for diagnostic tools to guide improvement, linking AI to societal benefits rather than just economic metrics [44-46][52-56]. This convergence on a human-centric AI vision is not an obvious alignment given their differing resources.
POLICY CONTEXT (KNOWLEDGE BASE)
The UAE’s emphasis on gradual, quality-of-life-oriented AI adoption [S50] and Costa Rica’s knowledge-economy transformation prioritising societal welfare [S61] illustrate this shared focus, as discussed in comparative analyses of small-state AI approaches [S60].
Overall Assessment

The panel shows strong convergence on three fronts: the need for multilateral cooperation, the preference for proportionate and context‑specific regulation, and the view of AI as a tool for societal betterment. These shared positions cut across diverse national contexts, indicating a broad consensus that AI policy should be collaborative, balanced, and human‑centred.

High consensus – the alignment across all three panelists on these core themes suggests that future AI initiatives are likely to be shaped by inclusive multilateral frameworks, incremental regulatory approaches, and development‑oriented objectives, facilitating coordinated global progress.

Differences
Different Viewpoints
Purpose of AI diffusion
Speakers: Omar Al Olama, Sriram Krishnan
UAE quality‑of‑life‑driven diffusion (Omar Al Olama) US three‑pillar plan (Sriram Krishnan)
Omar frames diffusion as a means to improve citizens’ quality of life and to cascade benefits across domains [30-38], whereas Sriram presents diffusion as part of a three-pillar strategy focused on building infrastructure, fostering innovation, and sharing technology with allies for strategic advantage [12-20][21-24].
POLICY CONTEXT (KNOWLEDGE BASE)
Debates on the purpose of AI diffusion have surfaced in discussions about democratizing AI and its societal impact [S46] and in analyses framing diffusion as making technology ‘invisible’ to users [S47]; geopolitical perspectives on diffusion as a competitive lever are also documented [S49].
Model for multilateral AI cooperation
Speakers: Omar Al Olama, Paula Bogantes Zamora
UAE as global convener and dialogue hub (Omar Al Olama) Regional‑plus‑cross‑regional alliances (Paula Bogantes Zamora)
Omar argues the UAE should act as a neutral global convener, hosting inclusive AI dialogues and bringing under-represented regions into the conversation [84-86]. Paula proposes that like-minded countries first organise regionally and then cooperate across regions to amplify shared challenges [73-82].
POLICY CONTEXT (KNOWLEDGE BASE)
The need to define a model for multilateral AI cooperation aligns with calls for inclusive, cross-cultural governance frameworks [S54] and the broader consensus on establishing a common AI governance framework [S58][S59].
Regulatory philosophy – incremental vs uniform
Speakers: Omar Al Olama, Sriram Krishnan
Gradual, engagement‑driven regulation (Omar Al Olama) Coherent, non‑fragmented rules to protect children, IP, bias (Sriram Krishnan)
Omar advocates a step-by-step regulatory approach, engaging stakeholders and applying restrictions gradually after impact assessment [119-136]. Sriram calls for a single, predictable regulatory framework that avoids a patchwork of state rules and safeguards children, IP, and bias [190-197].
POLICY CONTEXT (KNOWLEDGE BASE)
The tension between incremental and uniform regulatory approaches is reflected in panels emphasizing context-specific regulation [S44][S48], the UAE’s gradual restriction stance [S50], and scholarly debates on soft versus comprehensive regulation [S51][S52].
Regulation focus – data governance vs incremental engagement
Speakers: Paula Bogantes Zamora, Omar Al Olama
Regulation aligned with national capacity & data focus (Paula Bogantes Zamora) Gradual, engagement‑driven regulation (Omar Al Olama)
Paula stresses that regulation must reflect each country’s economic reality and centre on data privacy, governance and the value of data [156-178]. Omar emphasizes a gradual, stakeholder-engaged approach without specific emphasis on data issues [119-136].
POLICY CONTEXT (KNOWLEDGE BASE)
Discussions contrasting a data-governance-centric regime with broader incremental engagement appear in analyses of nuanced data-sharing policies [S66] and divergent views on the scope of data governance [S67][S68][S69].
Unexpected Differences
Regulatory pressure on large tech companies
Speakers: Omar Al Olama, Sriram Krishnan
Gradual, engagement‑driven regulation (Omar Al Olama) Coherent, non‑fragmented rules to protect children, IP, bias (Sriram Krishnan)
Omar explicitly states that small countries “can’t bully large companies” and therefore prefers limited, incremental regulation [139-140], whereas Sriram emphasises the need for strong safeguards on IP and bias that could entail more assertive oversight of big tech firms [190-196]. This tension between restraint and proactive enforcement was not anticipated given their shared interest in AI diffusion.
POLICY CONTEXT (KNOWLEDGE BASE)
Concerns about regulating dominant platforms are echoed in reports on big-tech advocacy in restrictive regimes [S63], UNCTAD’s call to address market imbalances created by large firms [S64], and observations of over-the-top companies operating without local investment [S65].
Centrality of data governance in AI regulation
Speakers: Paula Bogantes Zamora, Omar Al Olama
Regulation aligned with national capacity & data focus (Paula Bogantes Zamora) Gradual, engagement‑driven regulation (Omar Al Olama)
Paula places data privacy, governance and the value of data at the core of any regulatory framework [172-178], a focus absent from Omar’s description of UAE’s incremental approach, which centres on stakeholder engagement and gradual restriction without explicit data-centric measures [119-136]. The divergence on data as a regulatory pillar was not evident earlier in the discussion.
POLICY CONTEXT (KNOWLEDGE BASE)
The central role of data governance in AI policy is highlighted in discussions on data stewardship [S66], political divergences over data governance scope [S67], and efforts to harmonise data governance objectives across jurisdictions [S68][S69].
Overall Assessment

The panel displayed consensus on the importance of AI cooperation and the need for regulation, but diverged sharply on the purpose of diffusion (quality of life vs strategic/innovation), the preferred architecture of multilateral governance (UAE‑led global hub vs regional alliances), and the regulatory methodology (incremental stakeholder‑engaged vs uniform, data‑focused frameworks).

Moderate to high disagreement across strategic and policy dimensions, indicating that while participants share common goals, their national contexts drive distinct pathways. This fragmentation could hinder the formation of cohesive global AI governance unless reconciled through inclusive dialogue that respects differing priorities.

Partial Agreements
All three agree that international cooperation on AI is essential, but differ on who should lead and the structural model: Omar envisions the UAE as the convening hub, Paula favours regional groupings that later cooperate cross‑regionally, and Sriram points to bilateral/US‑led partnership programmes such as the AI Accelerator with the UAE [84-86][73-82][101-107].
Speakers: Omar Al Olama, Paula Bogantes Zamora, Sriram Krishnan
UAE as global convener and dialogue hub (Omar Al Olama) Regional‑plus‑cross‑regional alliances (Paula Bogantes Zamora) US partnership model – AI Accelerator, supply‑chain groups (Sriram Krishnan)
Takeaways
Key takeaways
The United States follows a three‑pillar AI strategy: building infrastructure, fostering innovation by reducing red tape, and sharing technology with allies. The United Arab Emirates emphasizes AI diffusion to improve quality of life, ranks first in AI diffusion, invests in data centers, AI literacy, and positions itself as a global convener for AI dialogue. Costa Rica adopts a diagnostic approach, developing an AI toolkit with the OECD to help countries assess their AI readiness and stresses the need for foundational infrastructure like 5G before AI deployment. All panelists agree that AI impact and diffusion differ across nations and that multilateral cooperation—both regional and cross‑regional—is essential for equitable progress. Regulatory philosophies vary: UAE advocates gradual, engagement‑driven rules; Costa Rica calls for regulation aligned with national capacity and data governance; the US seeks coherent, non‑fragmented regulations that protect children, IP, and bias while preserving innovation.
Resolutions and action items
The United States will continue and formalize its AI Accelerator Partnership with the UAE and the PacSilica supply‑chain security partnership. Costa Rica will work with the OECD to develop and disseminate an AI diagnostic toolkit for Latin American and Caribbean countries. The UAE commits to maintaining its role as a convening platform (e.g., World Government Summit) to foster global AI dialogue and support AI diffusion in Africa, Latin America, and other regions.
Unresolved issues
The precise structure and governance mechanisms of future multilateral AI frameworks (regional vs. global, decision‑making processes) were not defined. Specific strategies for assisting small economies in building AI foundations and for harmonizing data governance across jurisdictions remain open. Details on how incremental regulatory restrictions will be calibrated and coordinated internationally were not settled. How to balance the ‘haves‑and‑have‑nots’ dynamic to ensure equitable AI diffusion without creating new disparities.
Suggested compromises
UAE’s gradual, engagement‑driven regulatory approach as a middle ground between outright bans and unrestricted deployment. The US emphasis on coherent, nationwide (or multinational) rules to avoid a patchwork of regulations while still protecting key societal interests. Costa Rica’s proposal for a hybrid multilateral model that combines regional groupings with cross‑regional cooperation to address shared challenges.
Thought Provoking Comments
We set three priorities for what we believe America should follow: 1) build infrastructure (data centers, grid capacity), 2) foster innovation by removing red tape, and 3) share this technology with our allies and the rest of the world.
It succinctly outlines the United States’ strategic pillars for AI—hardware, ecosystem, and diplomatic diffusion—providing a clear framework that other participants can compare against their own national approaches.
This comment anchored the U.S. perspective early in the discussion, prompting later speakers to reference partnership models (e.g., the AI Accelerator Partnership with the UAE) and setting the stage for the multilateralism debate.
Speaker: Sriram Krishnan
The UAE ranks first globally in AI diffusion. Locally we focus on AI for quality‑of‑life improvement, not just economic gains or political advantage, and we are actively building data centres and AI literacy across Africa, Latin America and other continents.
It reframes AI from a tool of economic or geopolitical power to a means of enhancing everyday wellbeing, and it highlights the UAE’s leading practical implementation, which is unexpected for a small, oil‑rich nation.
Shifted the conversation from infrastructure to societal impact, leading the moderator to probe the UAE’s role in global cooperation and prompting other speakers to discuss how smaller economies can leverage AI for public good.
Speaker: Omar Al Olama
I expected by 2026 every country would have a minister of AI, and we still haven’t gotten to that point yet.
This observation points to the rapid institutional diffusion of AI governance and underscores a gap between aspiration and reality, challenging the audience to think about capacity‑building worldwide.
It sparked a brief moment of humor but also highlighted the need for broader institutional adoption, which fed into the later discussion on multilateral frameworks and the UAE’s ambition to act as a convener.
Speaker: Omar Al Olama
AI is forcing us to do a diagnosis of where we stand. We are working with the OECD on an AI toolkit so every country can understand its position and what it needs to improve.
Introduces a concrete, data‑driven method for nations to assess AI readiness, moving the dialogue from abstract policy to actionable measurement.
Prompted a deeper look at capacity gaps in Latin America, influenced the multilateralism segment by suggesting regional cooperation, and set up the later emphasis on data, 5G, and foundational infrastructure.
Speaker: Paula Bogantes Zamora
The world needs a convener… the UAE can play that role, bringing together voices from regions that are currently unrepresented in AI dialogue.
Proposes a proactive diplomatic function for the UAE, positioning it as a neutral hub for global AI governance—a novel suggestion in a forum dominated by nation‑state perspectives.
Expanded the multilateralism conversation, leading other panelists to reference existing partnerships (e.g., AI Accelerator Partnership) and reinforcing the theme of inclusive, cross‑regional dialogue.
Speaker: Omar Al Olama
When ChatGPT launched, a European country banned it, while the UAE embraced it and encouraged widespread use, preferring gradual restriction only if negative impacts emerge.
Provides a vivid, real‑world contrast that illustrates the UAE’s pragmatic, incremental regulatory philosophy versus more reactionary approaches.
Served as a catalyst for the regulation segment, prompting Paula and Sriram to articulate their own regulatory philosophies and highlighting the tension between rapid adoption and precaution.
Speaker: Omar Al Olama
We should innovate first and regulate later. Consider each country’s GDP, R&D spend, and data value when designing regulation; otherwise we risk stifling nations that are still building basic AI capacity.
Links regulatory design directly to economic realities and data assets, challenging one‑size‑fits‑all policies and emphasizing equity among nations with differing resources.
Added a nuanced economic dimension to the regulation debate, influencing Sriram’s emphasis on coherence and prompting the moderator to acknowledge the diversity of regulatory needs.
Speaker: Paula Bogantes Zamora
We need coherence and predictability in regulation—avoid a patchwork of 50 different state rules—while protecting children, IP, and bias, so innovation can thrive.
Summarizes the U.S. regulatory stance: balance safeguards with a unified framework to prevent fragmentation, reflecting a pragmatic approach to governance.
Provided a concluding perspective that tied together earlier points about partnership, diffusion, and the need for consistent policy, helping to close the discussion on regulation.
Speaker: Sriram Krishnan
Overall Assessment

The discussion was shaped by a series of pivotal remarks that moved the dialogue from high‑level aspirations to concrete strategies. Early comments from the U.S. and UAE established contrasting national priorities—innovation infrastructure versus quality‑of‑life diffusion—while Paula’s diagnostic toolkit introduced a practical method for assessing readiness. Omar’s vision of the UAE as a global convener and his ChatGPT example reframed regulation as a gradual, inclusive process, prompting both Paula and Sriram to articulate nuanced, context‑specific regulatory philosophies. Collectively, these insights deepened the conversation, shifted its focus toward multilateral cooperation, and highlighted the tension between rapid AI adoption and the need for adaptable, equitable governance frameworks.

Follow-up Questions
What actions can be taken to help countries that are lagging behind in AI and 5G implementation?
She highlighted that 70% of countries have 5G and asked how to assist those that do not, emphasizing global equity in AI diffusion.
Speaker: Paula Bogantes Zamora
How can small economies build the foundational infrastructure, skills, and governance needed before deploying AI solutions?
She noted the need to develop a base rather than just applying AI solutions, a critical step for effective adoption in less‑resourced nations.
Speaker: Paula Bogantes Zamora
What form of multilateralism will be most effective for small or regional groups of countries—regional blocs, like‑minded coalitions, or cross‑regional alliances?
She discussed the potential of both regional and cross‑regional cooperation for Latin America and the Caribbean, indicating a need to explore optimal partnership structures.
Speaker: Paula Bogantes Zamora
How can the World Government Summit and similar high‑level events foster AI partnerships in a polarized global environment?
He was asked about the role of such events in building bridges, pointing to the importance of convening dialogue to overcome geopolitical divides.
Speaker: Omar Al Olama
How can AI regulatory frameworks be made compatible across different jurisdictions (e.g., UAE, India, US) to avoid conflicts and silos?
He stressed the need for regulations that align with other countries, highlighting the challenge of cross‑border policy coherence.
Speaker: Omar Al Olama
What regulatory approach best balances innovation with safety, especially regarding data privacy, governance, and the value of data?
She argued that regulation must reflect each country’s reality and consider data‑related issues before imposing rules that could stifle innovation.
Speaker: Paula Bogantes Zamora
How can the United States prevent a fragmented, state‑by‑state patchwork of AI regulations and ensure coherent, predictable rules for innovators?
He expressed concern that multiple divergent state rules would hinder entrepreneurship, indicating a need for national harmonization.
Speaker: Sriram Krishnan
When will every country have a dedicated minister of AI, and what are the implications of reaching that milestone?
He noted his expectation that by 2026 all nations would have AI ministers, underscoring a benchmark for global AI governance maturity.
Speaker: Omar Al Olama
What diagnostic tools or metrics are needed to assess a country’s AI readiness and guide strategic improvements?
She mentioned developing an AI toolkit with the OECD to help nations understand their position in the AI race, indicating a research gap in readiness assessment.
Speaker: Paula Bogantes Zamora
How can the AI Accelerator Partnership model (e.g., US‑UAE collaboration) be scaled and replicated with other allies and regions?
He cited the existing partnership as a template, suggesting further study on expanding such collaborations globally.
Speaker: Sriram Krishnan
What are the measurable impacts of AI on the economies of small nations like Costa Rica, and how can progress be tracked?
She referenced Costa Rica’s small GDP and low innovation investment, implying a need for research on AI’s economic effects in similar contexts.
Speaker: Paula Bogantes Zamora
What mechanisms are needed for continuous, proactive engagement with the private sector to shape AI regulation and mitigate risks?
He highlighted the importance of ongoing dialogue with industry to adjust regulations gradually, pointing to a research area on public‑private regulatory collaboration.
Speaker: Omar Al Olama

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