Building the Workforce_ AI for Viksit Bharat 2047
20 Feb 2026 14:00h - 15:00h
Building the Workforce_ AI for Viksit Bharat 2047
Summary
The India AI Impact Summit opened with Dr. Washima emphasizing that AI is the “next big thing after electricity” and calling for trust-based, collaborative ethical frameworks to guide fast-paced AI development for economic growth, social good, and human capital [4-10][11-13]. Chairperson Shubhavi S. Radha Chauhan reinforced the government’s human-centric AI vision, advocating small, sector-specific language models and a capacity-building agenda that equips officials with the skills to set data guardrails and evaluate outcomes [23-33][34-38].
India’s approach was illustrated by the Commission’s policy frameworks, operational guidelines, and the nation’s extensive digital public infrastructure, which together support a workforce of 5.8 million AI professionals and enable localized AI solutions such as tiny models for rural health and agriculture [73-78][92-98]. Panelist Anil Shivastava warned that AI cannot simply be layered onto legacy systems; it requires re-engineering of data silos, multilingual support, and new security considerations [122-138]. Guilherme Albusco Almeida highlighted Brazil-India collaboration opportunities in R&D, capacity-building platforms, and ethical-assessment frameworks, noting existing South-South partnerships [148-166]. Robin Scott identified major gaps: only 26 % of implementers understand their own ethical frameworks and many pilots lack evaluation plans, yet over 90 % remain optimistic about AI’s productivity gains [182-194].
Addressing environmental impact, Robin cited a new AI-climate course, Guilherme described “green AI” initiatives and AI-driven forest monitoring, and Anil noted Google’s pledge for carbon-neutral data centres by 2030 [201-203][204-213][215-218]. The summit culminated in the launch of a Digital Capacity Building Alliance-a global public-good model linking governments, industry, academia, and civil society to scale inclusive, ethical AI capacity building [247-270], reinforced by Minister Dr. Jitendra Singh’s keynote on dynamic governance, continuous learning, and the necessity of human-in-the-loop integrity [288-306]. The event closed with a call to translate the discussed frameworks into concrete actions for responsible AI deployment worldwide [387].
Keypoints
Major discussion points
– Human-centric, ethical AI governance and the need for trust-based frameworks – The opening remarks stress “carve out trust-based collaborative ethical frameworks” for AI-DPD (dynamic AI) age [10]; the Chairperson reiterates the PM’s “human-centric framework for ethical, accountable and inclusive AI governance” [23-24]; the summit theme itself is “AI for economic development, social good, safe and trusted AI, and human capital” [11-13]; later, Robin highlights that only 26 % of implementers understand their own government’s ethical frameworks, exposing a major risk [182-188].
– Building localized, sector-specific AI capabilities and competency pathways – Shubhavi argues that the future lies in “small language models, context-specific, sectoral, and decentralized” rather than monolithic models, requiring customized competency frameworks [30-33]; Anil explains that legacy IT systems must be re-engineered, data prepared, and multilingual support added to enable AI at the edge (e.g., ASHA workers) [126-135]; Ramadorai adds that the next billion AI users will interact with “tiny embedded AI in phones, tractors, classrooms, clinics and local government systems” [96-98].
– International (Brazil-India) collaboration for AI capacity building – Guilherme describes existing Brazil-India exchanges, complementary R&D, and parallel capacity-building institutions, proposing a “South-South” partnership to scale knowledge for public servants [147-160]; Robin notes the joint effort with Brazil’s ENAP and Google.org to train a million public servants, emphasizing the strategic value of such collaborations [172-179]; the moderator’s question to Guilherme explicitly asks about deepening Brazil-India cooperation [143-144].
– Technical and operational risks of integrating AI into legacy public systems – Anil points out that AI cannot simply be layered onto existing siloed systems; it requires re-engineering, data readiness, and attention to security and data-sovereignty vectors [126-138]; Robin’s survey data reveal a gap between pilots and evaluation plans (45 % have evaluation despite 72 % planning pilots) [188-190]; Ramadorai also warns that governance challenges extend beyond technology to ensure officials understand system limits and ethical use [99-101].
– Environmental sustainability of AI deployment – The final panel question raises the climate footprint of AI; Robin mentions a dedicated “AI and climate” course developed with Stanford’s Doerr School of Sustainability [201-202]; Guilherme differentiates “AI for green” (energy-efficient GPUs) and using AI to support climate policy, citing Brazil’s AI-driven forest-monitoring system [204-213]; Anil adds Google’s commitment to carbon-neutral data centres by 2030 and the need for energy-efficient models [215-218].
Overall purpose / goal of the discussion
The event serves to launch and promote a Digital Capacity Building Alliance that will provide a global, non-proprietary framework for AI skill development, ethical standards, and public-service innovation. It aligns with the India AI Impact Summit’s theme of leveraging AI for economic development, social good, and safe, trusted deployment, and seeks to translate the Capacity Building Commission’s policy work into actionable, collaborative programs for India and partner nations [11-13][39-40][250-267].
Overall tone and its evolution
– The opening segment is formal and aspirational, emphasizing vision, responsibility, and collective purpose [4-13].
– As the panel proceeds, the tone becomes technical and problem-focused, with detailed discussion of legacy system challenges, data sovereignty, and competency design [126-138].
– Mid-session, the conversation shifts to a collaborative and optimistic mood, highlighting Brazil-India partnerships and shared training initiatives [147-179].
– Towards the end, the tone turns pragmatic and urgent, addressing gaps in ethical understanding, evaluation, and the environmental impact of AI [182-190][197-213].
– The closing remarks return to a celebratory and call-to-action tone, urging participants to seize the moment, uphold integrity, and implement the newly launched alliance [288-306][350-356].
Overall, the discussion moves from high-level vision to concrete challenges, then to partnership opportunities, and finally to concrete commitments and a rallying call for collective action.
Speakers
– Dr. Washima –
– Moderator – Event moderator (moderates the session) [S13]
– Shubhavi S. Radha Chauhan – Chairperson of the Capacity Building Commission; expertise in public administration and capacity building [S7]
– Guilherme Albusco Almeida – Senior Consultant, Institute of Management and Corporation in Public Services, Government of Brazil; expertise in government reform, digital transformation and AI ethics [S8]
– Dr. Jitendra Singh – Honorable Minister of State for Personnel, Minister of State for Personal Grievances and Pensions; expertise in administrative reforms and India’s science & innovation agenda [S9]
– Anil Shivastava – Chief Architect for Goodwill’s public-sector work; leads Public Policy Strategic AI Solution Engagements of Global Cloud in India; expertise in AI solutions, cloud computing and public-sector transformation (as described in the transcript)
– Subramanian Ramadorai – Chairperson of Karni Nagi Bharat and former MD & CEO of Tata Consultancy Services; expertise in technology engineering and the intersection of technology with government institutions [S18]
– Robin Scott – Co-founder and CEO of Apolitical; expertise in AI capacity-building programmes for public servants worldwide [S19]
– Audience – Various audience members (e.g., Professor Charu, Indian Institute of Public Administration – public administration; Yuv from Senegal) [S1][S2]
– Speaker 1 – Unnamed speaker who presented the AI-enabled government blueprint after the minister’s launch (role not specified)
– Speaker 3 – Unnamed speaker who asked a follow-up question near the end of the session (role not specified)
Additional speakers not listed in the provided speakers list
– Mr. Frager – Mentioned by the moderator when introducing the panel
– Mr. S. Amogarai – Referred to as Chairperson of Karni Nagi Bharat (possible duplicate of Subramanian Ramadorai)
– Mr. Schneider – Cited by the moderator in the opening remarks
– Mr. Jeet Adani – Cited by the moderator in the opening remarks
– Kirti Ardhan – Named by Dr. Jitendra Singh during his address
– Other unnamed participants – Various individuals who spoke briefly or were referenced in the dialogue but are not part of the original speakers list.
The summit opened with Dr Washima reminding the audience that “technology is a great leveler, and AI, they say, is the next big thing after electricity” and urging participants to “carve out trust-based collaborative ethical frameworks” for the fast-paced AI-DPD age so that public services can be delivered faster, better, safer and more equitably [4-5][6][8-10][11-13]. He emphasized that AI must augment, not replace, human judgment-a point later echoed by Dr Jitendra Singh [10][324-327].
Chairperson Shubhavi S. Radha Chauhan of the Capacity Building Commission highlighted the Prime Minister’s “Mani Vision” – a human-centric framework for ethical, accountable and inclusive AI governance [23-24] – and argued that the future will lie in “small language models, context-specific, sectoral, and decentralised” rather than massive monolithic systems [30-31]. To operationalise this vision, the Commission has produced holistic policy frameworks, operational guidelines, personalised learning pathways and dynamic governance models that together support a workforce of 5.8 million professionals [34-38][73-78] and enable localised solutions such as tiny models for rural health and agriculture [92-98].
The moderator introduced the panel, naming the chairperson of the Capacity Building Commission, Mr S. Amogarai, and the three distinguished panelists – Prof Guilherme Albusco Almeida (Brazil), Anil Shivastava (Google Cloud), and Robin Scott (co-founder of a global public-servant network) [42-50].
Subramanian Ramadorai opened the discussion by reflecting on past technological revolutions, noting that “the most important question … is not how far we can scale AI but how we can recognise it as a movement that elevates humanity” [66-68]. He positioned India’s approach as a “third way” – a partnership model that sits between the US-led market race and China’s state-led techno-nationalism [73-76]. He underscored India’s extensive digital public infrastructure (RADAR, UPI, digital locker, etc.) as a “trust architecture” that can support the next billion AI users who will interact with “tiny embedded AI in phones, tractors, classrooms, clinics and local government systems” [92-98][96-98].
When asked about the technical risks of layering AI onto legacy systems, Anil Shivastava warned that existing IT platforms are “centred on silos of data and business logic” and cannot simply have an AI layer added [122-124]. He called for a re-engineering of data pipelines, multilingual data preparation for edge-AI (e.g., ASHA workers), and a renewed focus on security and data-sovereignty before any AI-driven decision-making can be trusted [126-138].
Prof Guilherme Albusco Almeida responded by outlining Brazil-India collaboration opportunities. He cited ongoing exchanges, complementary R&D capacities and parallel capacity-building institutions, proposing a “South-South” partnership that would scale knowledge for civil-service AI training across both nations [147-152][155-166]. He also mentioned Brazil’s ethical-assessment framework for AI and the potential to co-develop sector-specific models and procurement guidelines.
Robin Scott presented survey data that revealed a stark governance gap: only 26 % of public-sector AI implementers say they understand their own government’s ethical framework, meaning the majority are “freestyling” [182-188]. Moreover, while 72 % plan pilots, merely 45 % have an evaluation plan, highlighting a risk of unchecked deployments [188-190]. Despite these gaps, she noted that over 90 % of public servants remain optimistic about AI’s productivity gains, estimating a $1.75 trillion upside if the technology is harnessed responsibly [191-194].
The final panel question turned to environmental sustainability. Robin announced a new “AI-and-climate” course co-created with Stanford’s Doerr School of Sustainability [201-203]. Guilherme differentiated between “green AI” (energy-efficient hardware) and “AI for green” (using AI to support climate policy), citing Brazil’s Rural Environmental Registry that employs AI to monitor deforestation and guide reforestation [204-213]. Anil added that Google has pledged to make all its data centres carbon-neutral by 2030 and is ready to partner with India to embed similar targets in Indian facilities [215-218].
Audience members then raised concerns about timelines, invoking the Doomsday Clock metaphor and asking whether India could achieve its AI-driven governance vision by 2047 or even earlier [227-244]. One participant, Professor Charu, called for a “generic, hyper-localisable international AI impact framework assessment tool” to bridge the current lack of procurement and ethical guidelines [246].
The moderator announced the launch of the Digital Capacity Building Allowance, a non-proprietary, demand-driven framework that combines global AI principles, digital-public-good standards, and the Mission-Karmayogi model to fund and coordinate capacity-building activities across governments, industry, academia, civil society and start-ups [251-270][263-270].
Minister Dr Jitendra Singh delivered the keynote, stressing that governance, capacity building and AI are all “dynamic, continuous” processes that must be synchronised [292-298]. He praised India’s political dispensation for removing nearly 2 000 outdated rules in the past decade and for embracing “human-in-the-loop” integrity as non-negotiable [310-327]. He introduced the acronym M-A-N-A-A (M = Moral & ethical systems; A = Accountable governance; N = National sovereignty; A = Accessible & inclusive; A = Valid & legitimate) [370-376].
The session closed with the moderator thanking all participants, inviting a group photograph and urging attendees to “translate the discussed frameworks into concrete actions for responsible AI deployment worldwide” [387-389].
Across the discussion, there was strong consensus that ethical, human-centred AI governance is essential (Dr Washima, Robin Scott, Dr Singh) [10][182-188][324-327]; that AI can act as a catalyst for inclusive, citizen-centred development (Dr Washima, Dr Singh, Subramanian, Speaker 1) [4][66-68][258-262]; and that small, sector-specific models are preferable to monolithic systems (Shubhavi, Subramanian) [31-33][96-98]. Participants also agreed on the need for customised competency frameworks and personalised learning pathways (Shubhavi, Anil, Robin, Speaker 1, Subramanian) [33-35][126-135][201-203][258-262][104-105]. South-South collaboration, especially between Brazil and India, was highlighted as a viable “third way” to shape global AI norms (Guilherme, Subramanian) [147-152][155-166][73-76].
Notable disagreements emerged. Robin’s data showed a gap between the aspirational “trust-based collaborative ethical frameworks” and the reality that only a quarter of implementers understand them [182-188] versus Dr Washima’s call for such frameworks [10]. On climate-focused AI, Anil presented a well-funded corporate pledge for carbon-neutral data centres [215-218] while Robin suggested that the AI-climate course “has too much money”, indicating uncertainty about funding adequacy [201-203]. Finally, Anil argued for extensive re-engineering of legacy systems [126-138] whereas Subramanian emphasised the opportunity of deploying lightweight edge models without a full overhaul [96-98].
The event concluded with the launch of the Digital Capacity Building Allowance and a commitment by Google to achieve carbon-neutral data centres by 2030 [215-218][263-270]. A pledge was also made to develop sector-specific, edge-optimised language models for rural contexts [96-98] and to continue large-scale AI training for public servants (target of one million, 400 000 already achieved) [172-179]. Unresolved issues include the detailed operational design of the Allowance’s funding mechanisms, the precise steps needed to align legacy-infrastructure modernisation with workforce capability development, the establishment of standardised evaluation processes for AI pilots, and the creation of a universally applicable, hyper-localisable AI impact assessment tool [246][188-190][104-105].
In sum, the India AI Impact Summit reaffirmed that AI should be deployed as a human-centred, trustworthy technology that drives inclusive socio-economic development while respecting ethical norms and environmental limits. By coupling sector-specific capacity-building pathways with global South-South partnerships and a clear commitment to human-in-the-loop integrity, the participants charted a roadmap that moves from aspirational vision to actionable, collaborative implementation [4][66-68][324-327][258-262].
and partnerships from the Capacity Building Commission to deliver welcome remarks. Good afternoon. Thank you, Mustafa. A very good afternoon to all of you, distinguished guests, panelists, fellow participants, colleagues from Karni Yogi Bharat and Capacity Building Commission, and a warm welcome to everyone. Technology, they say, is a great leveler, and AI, they say, is the next big thing after electricity. We as individuals are part of society as individuals and a dual role of individuals. And we are deeply impacted by these two to an extent that we cannot distinguish between these two anymore. As the popular Bollywood line says, Mayor Mary Panhai is actually me. And my AI, in certain context. This room carries the huge responsibility of making that distinction happen.
Responsibility is to carve out trust -based collaborative ethical frameworks so that the demands of fast -paced dynamic AI -DPD age, which constantly creates push -up demands for faster, better, safer public services, is met by a well -informed design and delivery model. Today we gather here as a first step, aligned with the India AI Impact Summit theme, AI for economic development, social good, safe and trusted AI, and human capital. The need for collective discourse at the policy level is crucial, whenever to harness equitable benefits, mitigate risks, and to ensure an inclusive governance transformation. To carry this foundation forward, we have our distinguished panelists, we have our chairperson, and we look forward to the next session. Thank you for listening today.
Welcome, everyone.
Thank you, Dr. Washima. I now invite our Chairperson of the Capacity Building Commission, Shubhavi S. Radha Chauhan, to deliver the opening address.
Thank you. Thank you, Mr. Sir. Namaskar. It’s my privilege to extend a very warm welcome to all of you on behalf of Team Mission Karni Yogi. And I must disclose that this speech that I’m going to read out is handcrafted. No AI in the process has been used. Yes, absolutely. Be compliant. Our Honorable PM yesterday outlined Mani Vision, a human -centric framework for ethical, accountable and inclusive AI governance. Mission Panayogi has and shall continue to relentlessly craft and embed these wish capabilities that will translate this vision into reality. Every service today must evolve at a pace, hitherto untraceable. It must learn continuously, develop deep competencies and dynamically adapt to eternally emerging work and workspaces. Underprivileged competency and skill is a humanistic capacity, that non -negotiable layer of intellect, diligence and values that has to flavor every decision made and every service delivered by governments and its systems.
From the community health worker delivering nutrition to an expecting mother to the balancing worker strategizing access to specialized healthcare. It is the quality of this human layer that will ultimately define the quality of service we deliver to our citizens. The future of AI, more precisely the agentic AIs, will not be in massive monolithic models. It will be in small language models, context -specific, sectoral, and decentralized. This would entail creating the customized, sector -specific competency framework that can suitably deploy AI agents to arrive at decision points that solve local needs and problems in its context. Capacity building must therefore focus on enabling our officials to deconstruct complexities, impose appropriate guardrails on data and its use, before evaluation benchmarks.
before using the authentic insights to taking decisions. In the past year, the Commission has developed holistic policy frameworks that have been tested and institutionalized, established operational guidelines, especially those for identifying competency gaps, leading to personalized learning pathways for each one of our learners. Dynamic governance models have evolved for stakeholders, especially our training institutions, ensuring they remain agile and responsive to competency demands. Continuous learner feedback loops, rigorously analyzed, have become integral to refining and strengthening the system. We are at the community portal’s times today as a testament to this remarkable trajectory. It has developed teamwork capacities effectively, at scale, and across the human race, to achieve this diversity of India’s governance ecosystem. It is in the context of this evolving journey that we see today’s event as an opportunity to take the plea, grounded in deep faith, that Mission for New Delhi, as a public good, must inform every other government that is on a similar and seminal mission to deliver inclusive, ethical and impactful public services.
I sincerely hope that this deliberation here produces a cohesive and common pathway for all of us to enter upon as global partners. Thank you so much.
Thank you so much, ma ‘am, for placing the panel through the address, placing everything into the context for the panel discussion. Thank you, Mr. Frager, and the remaining proceedings of the evening. Now I take your immediate pleasure in inviting your panelists for today’s discussion and also more later Mr. Professor Amogarai sir May I kindly request Professor Amogarai sir to join us on the rise The last panel discussion will be moderated by Mr. S. Amogarai Chairperson of Karni Nagi Bharat and former M .D. and CEO of Tata Consultancy Services Mr. Amogarai is of a specialty at the intersection of technology engineering and technology governments and institutions and he has worked at key institutions across academia, industry and public policy institutions including as advisor to the R .W .P.
Minister in the National Council on Scale Development We welcome you sir On the panel, we are joined by Guilherme Albusco Almeida from Brazil, a senior consultant at the Institute of Management and Corporation in Public Services, Government of Brazil, working at the intersection of government reform and digital transformation. Anil Shivastava, Chief Architect for Goodwill’s work in the public sector. He currently leads the Public Policy Strategic AI Solution Engagements of Global Cloud in India. And our final panelist for today, Robin Scott. She is the co -founder and CEO of A Political Network, a global online network of public servants. Thank you so much for joining us and taking time out for this session. With this, I hand it
Thank you. So, the mic’s there. Two minutes. Then I’ll say the second. No good answers. You got nothing to do. Before I begin, I want to extend a very warm welcome to the panelists. Thank you so much for agreeing to be a part of this. It will be a learning experience even for me, for sure. After spending over five decades in the technology industry, I’m probably the oldest here. It puts me with immense hope to sit alongside a group of young leaders who are shaping the next chapter of this global technology revolution. Thank you for being here and for looking forward to the exchange. If we look back at past technological revolutions, we rarely talk about the technologies themselves.
Instead, we talk about what they enable. Electricity is not celebrated because we built our plants. It is celebrated because we brought a revolutionary transformation into the world. It is a transformation to the quality of life. AI presences in the Sumedha moment. It gives us unprecedented power not to do things better but to do better things. We think how we explore, educate, govern, create, collaborate, heal and protect the people and the planet most importantly. But the most important question for this summit is not how far we can scale AI but how we can recognize it’s a movement in a direction that elevates humanity. Sometime ago I read an article titled Bridges as Humanity’s Greatest Legacy. It has spoken about the universalization instinct and how it has long leaned towards coexistence, cooperation and balance including.
shared progress. From Rupesh Mahatma Gandhi, India has consistently attempted to build robust and promote peace and harmony across the world. We are entering the era at a time when capitalism is increasingly intertwined with geopolitics and, of course, conflict. That reality demands deep reflection because the choices we make today will determine whether here becomes a nuclear race of the 21st century or the space race that will take humanity to the moon. Globally, AI is framed as a binary race, a market led by experimentation in the United States, versus state -led techno -nationalism in China. However, it might lend India offers a third way, in partnership, of course. For over five decades, India’s IT industry has built trust, reliability, and delivery capabilities across the world.
We know we have 5 .8 million professionals. This legacy gives India any strength to deploy technology safely and, of course, responsibly at every stage of the technology industry. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. We know we have 5 .8 million professionals. For example, the Tata AI Saki Immersion Programme is empowering rural women artists to use AI as a tool for livelihood opportunity.
India’s AI journey is also interested in the digital public infrastructure, which includes RADAR, identity payments, UPI, documents, digital locker and consent framework, the data empowerment and protection architecture, or DUPI as it is called, at a scale. These are not really platforms, they are trust architectures. The next billion AI users may not interact with 3D and parameter models. They may interact with tiny embedded AI in phones, tractors, classrooms, clinics and local government systems. India’s rural opportunity lies in small language models that are absolutely domain specific and can run on edge devices, operate in rural cities, overseas environments, solve real problems. But I would not squadron of these children going through. of the exhibitions, exhibits. As artificial intelligence becomes an embedded across public administration, the challenge for governance is not limited to technology or adoption.
It extends to ensuring that public officials understand how the systems function, what their limitations lie and how human judgment responsibly and ethical consideration must guide this use. Vishen Karvayogi has established a model demonstrating that systemic technology -enabled civil services reform is achievable across diverse administrative contexts. Building on this institutional foundation, the next horizon is to embed AI within workforce transformation frameworks while contributing to the shaping of global norms on responsible AI in governance. In this context, the Summit Master launched a blueprint for digital capacity building and labs that sets out the share of fair work for developing AI and everything public could for public officials’ capacity. Let us take this convention forward to see how the proposed alliance can be operationalized and diverse partners can work together to translate the blueprint into sustainable actions.
I’ll turn over to the questions. For each of the panelists, I’ve got a couple of questions, but I’ll just start with one or two to each of you. And they’re slightly different for each, and none of them have been generated by, again, a disclosure. So let me start with that little shivastava, Google Cloud. Google is at the forefront of building global digital infrastructure and in many ways adoption across enterprises and public services. The question is, governments often adopt new technologies in fragmented ways. What technical and operational risks arise when any systems are layered onto the legacy infrastructure? without structural reform, how can initiatives like Mission Community help align infrastructure modernization with workforce capability development? Before I ask you the next question, please.
So, first of all, thank you. Thank you so much. I’m honored to be here at Bharat Mandapam as part of the panel of esteemed experts. And we are talking about capacity building imperative for Vixit Parth 2047. You know, I think the question that, sir, as we said, is a very important question when we are in the journey of using AI in our day -to -day lives. And specifically, you know, governments, and especially Government of India, has a huge focus of using AI to improve the quality of life for the people of the world. And I think that’s a very important question. for making the lives of our citizens easier? And also the government, civil servants, you know, lives will be much, much easier than the work that they do today.
The kind of efforts that goes into Reni Server delivering citizen services, is there a way that we could actually leverage AI in Reni Server solving for that? Now to sir’s question, I think the key, it is a very important point that AI is not, you know, a layer that you could just put on existing systems. You know, the systems, the IT systems that were developed with the objective of solving specific problems. Please hear me out. Sure. Right. So, you know, the existing IT systems are very centric and they were built with the view to solve a specific problem for the kind of technology that we had at that time. With AI, we are sort of looking to change the way the humans interact with the AI systems.
The existing systems, they actually have silos of data, silos of business logic, whereas AI, as we sort of look at this as more holistically, you need to really have a contextual data for you to train models to make it useful for you. And so we need to really sort of look at reengineering some of our existing IT systems so that it can harness the potential of AI in solutions. And so that’s where we’re solving some of the problems. So that is one point of view. The other is to really sort of prepare data so that we can train models, whether it is the LLMs or the SLMs, whether it is at the edge that we would actually have AI in a small device, a mobile device.
ASHA worker could actually sort of go and can deliver services using AI in their own native language. So, you know, we need to ensure that we support the multilinguality, the in -depth languages to deliver on those services. Now, to build those systems, we really need to not only change the technology, the underlying technology, but also the process that needs to be re -engineered. So that is one aspect that we should think about. Also from a security perspective and data sovereignty perspective, we need to sort of re -look at the… the exposure that AI brings to our existing systems, the kind of vectors that we are, you know, the systems have been built today, we will need to have to re -look at it.
Some of the, you know, vectors or some of the issues that we have today needs to be resolved. So that would be my perspective, sir. Thank you.
Guy, he told me it’s very easy to remember his name because Guy is a new word also.
Yes.
How can countries like Brazil and India collaborate more closely in shaping the global conversation around care, trust, and alignment in AI? What do you think are the areas we can collaborate together which will have the greatest global impact as AI becomes more autonomous and more deeply embedded in society?
Well, that’s a fantastic question. I will try to bring some aspects of that, but I think we’ll keep answering that until at least 2047. But the point is, first, I think Brazil and India are really close and can collaborate a lot. I can testify that because it’s my fifth trip to India. We’ve been exchanging a lot technology -wise. When it relates to AI, I think we should consider different aspects. We just mentioned here data and data for training models, but I think there’s strong room for collaboration when you talk about R &D, right? Because there’s not only similarities but also complementarities. There are things that are complementary to one another. So I guess that there’s strong room for cooperation and collaboration.
But also in capacity building. I understand that I’m a great fan of Mission Kama Yogi and the Capacity Building Commission. We have similar organizations in Brazil. We have been training civil servants as well through an electronic and an online platform. And I believe that digital infrastructure approach to capacity building is also a way to bring this to more people to make this scalable in a way that we can actually change build knowledge build capacities and make things change within government. Of course we need to be careful about the risks of AI. In Brazil we have developed a framework for ethical assessment of AI implementation. We have also provided some guides explaining not only how AI works, but what caution should you have when you’re using AI within the public service?
Of course, we should consider boundaries and safeguards in AI implementation, but we should not prevent from using it for the betterment of people’s lives and to enhance our population. And I think that training and capacity building is crucial for that. In Brazil, we have at least four different profiles for capacity building, one for senior leaders, one for IT managers, one for data curators, and the other for general civil servants, in which we organize the knowledge you’re supposed to develop and to build in order to use AI properly and to build AI solutions. and I guess going back to the Brazil -India connection I guess both nations are well positioned to I would say lead but to conduct this conversation in a global perspective I think that we have great partnerships with Apolitical as well I’ve been working a lot with them and I think that coalition of willing organizations building knowledge for AI in public service is something that could be built and if you can bring a South -South flavor to that I think we’re better positioned to provide the transition we want to the government and to the world.
Thank you.
Robin you work with governments around the world what are the biggest gaps you see in AI readiness within public institutions? I think that how can we shift the global conversation towards work reinvention?
Thank you so much. That’s a big question. It is such an honor to be here. And this seating arrangement is particularly meaningful to me because we’re not only honored to partner with the Capacity Building Commission and Mission Kamiyagi, but we are longstanding partners of ENAP, the excellent Brazilian school of government. And Google .org has funded us to provide world -class training for free on AI to a million public servants, and we’re 400 ,000 into that goal, including in India. So this particular configuration is very meaningful. And I also want to say something about Brazil and India, which I think links the two nations. In our experience working with them, they both understand that capacity building is not something that should be pushed to the side.
It is an afterthought. It is an engine of innovation. ENAP has an innovation unit within its school, and it is strategic. and especially with AI, it’s more strategic because you don’t get intelligent technology unless you have people intelligently supported to work alongside and in partnership with that technology. So I really appreciate the ambition and vision that both countries bring to capacity building. I’ll point to just a couple of gaps. One is around ethical frameworks. You mentioned Brazil has one. Most countries have one. According to our data, this is an 8 ,000 -person global survey. Of those people implementing AI in their governments, these are people whose job it is to roll out the technology, only 26 % say they understand their own government’s ethical frameworks.
So in other words, 75 % are freestyling, and that builds a great deal of risk into the system. We also have a gap between talk and ambition and evaluation. So when you talk to leaders, 72 % say they have a pilot or will have one this year, but only 45 % of them say they have a plan to evaluate the performance of that pilot. And there is no point piloting something without evaluation. There is a lot more to say, but I just want to end on a note of optimism. Well over 90 % of public servants are very optimistic about the role that AI can play. And there’s a $1 .75 trillion productivity prize for getting this right, according to BCG. So we’ve got the optimism, we’ve got the energy, and these gaps are big, but they’re not impossible to close.
Thank you.
Just one final question, if you can answer. As we expand AI -centric capacity building, scaling digital platforms, increasing compute and embedding AI into public systems, all of us agree we must also confront the environmental footprint of these technologies. How can governments and AI companies work? How can governments and AI companies work together to ensure that the AI -driven public infrastructure is also aligned with climate responsibility? energy efficiency and sustainable growth. Anyone else? We can all agree with each other or confidently.
Well, I can just offer, we have developed a course on AI and climate and understanding the links with the Stanford Doerr School of Sustainability. So we literally have a program to answer your question. I’ll leave it. But it has too much money.
Well, I think there are two separate ways in which it could be framed. There’s AI for green and green AI. So aiming for sustainability on the power you provide for the GPUs and so on is crucial. But also we could use AI to leverage the potential of climate policies. If you put together data, meteorological data, data from forests and so on, you can bring intelligence and knowledge, which could lead to better informed decisions. In Brazil, we have a system in which we mapped all the forests in private lands. It’s the Rural Environmental Registry. And we’re using AI to understand whether forests have been cut down or not. So we can use different AI tools to promote not only fighting deforestation, but also promoting reforestation.
So there are several different potential tools, and they could be used. And if we can blend them together, we can make even more.
So I would actually say that, you know, Google, first of all, has committed that by 2030, all our data centers will be carbon neutral. And we want to make sure that we want to partner with the government of India to ensure that all the data centers that we are building in the country should have some sort of targets to ensure that they are carbon neutral. Thank you. and there are, you know, designed from a civil perspective but from a technology perspective, we can always build models which are energy efficient. So I would actually leave it at that but I think that’s a very important point for India as a country. Thank you.
Any one question from the audience? Go ahead. Oh, it doesn’t work? Somebody gave you the mic. But you should add ladies first. I don’t know why you… Go ahead, go ahead. Sorry.
and just take a metric of doomsday clock that was just received on 27th January at 85 seconds to midnight. Now, just simply translate that in a thousand mile downhill journey, an overloaded truck with weapons of mass destruction that aptly disperse our civilization today. We are at 80 meters to the edge of the precipice. You know, that dangerous. We are being so cannibalistic of the future of our children. My question is, should we see Bharat by 2047? It is actually procrastination of our responsibilities. We just don’t want to own up what’s happening today.
I agree, yeah.
So they have to come as a concert of civilizations by 2026. Go ahead, go ahead, sorry. Chairman, in three precedents of the Federation, I will just take a metric of doomsday clock that was just received on 27th January at 85 seconds to midnight. Now, just simply translate that in a thousand mile downhill journey, an overloaded truck with weapons of mass destruction that aptly disperse our civilization today. We are at 80 meters to the edge of the precipice. You know, that dangerous. We are being so cannibalistic of the future for children. Should Vixen Bharat, my question is, should Vixen Bharat by 2047, which is actually procrastination of our responsibilities, which I don’t want to own up, what’s happening today, and what happened to India, should they have to come as a concert of civilizations that by 2026 itself, right here, right now?
I think confrontation starts very early and a lot of activities are happening in the country 2047 is a dream extraordinary year of our independence what we need to achieve is a roadmap that’s what is important rather than saying nothing is happening and suddenly something will happen in 2047
one more question here last question please thank you
I’m professor Charu from Indian Institute of Public Administration we met some of you thanks in regards to the audience my question is with regard to a consolidated international lack of availability of frameworks in terms of AI procurement guidelines in terms of AI ethical frameworks in terms of competence frameworks we do have UNESCO competence framework for AI but we need to hyper localize it to context which Robin and I were talking in terms of various countries in another event so maybe we need to have something a more generic collaborative international AI impact framework assessment tool which could look into capabilities not just at the digital leadership level but across the whole organization or country thanks a lot
thank you any comment it was right okay thank you so much honorable minister thank you to all the panelists and participants we are also now joined by honorable minister Dr. Jitendra Singh sir minister of state for personnel minister of state for personal grievances and pensions a visionary leader who has been at the forefront of administrative reforms and India’s science and innovation agenda sir it’s a pleasure to have you with us . Thank you. Thank you so much, Mr. Minister, for joining us and taking time out of your busy schedule. What was just witnessed in the form of a panel discussion is a small reflection of what the Capacity Building Commission and Karnal Yogi Bharat are hoping to achieve through what we seek to announce today.
May I now request all of you, Mr. Minister, to kindly launch the building for holding a musical capacity building alliance by pressing the button
And to govern at this scale, this space, we need an ever -evolving system. So India built one. In 2020, our leader, Prime Minister Srinivasa Modi launched Mission Kalmaragi to build a future -ready citizen -centred civil services. At the heart of it, the capacity -building commission. The living capability with foundations of trust, empathy and inclusion. Part of this is our great Kalmaragi platform, India’s national digital learning platform, accessible anytime, anywhere. And now, the next two. AI -enabled governments, personalized learning paths, smart decision support, from reactive systems to adaptive capacity model. To both, all governments, especially in the global south, face the same challenge. Demand -driven and technology -destructive. Complex workflows. Move for Agile Institutional Capacity. India has a working model of unscannable cruising, a global public good.
Today, the Capacity Building Commission unveiled a proposal to forge Digital Capacity Building Allowance, an allowance that fuses global AI principles, digital public good standards, and the mission -cum -worthy model. A unique model for demand, design, delivery, and continued evolution. It wants in the mission to build a shape, non -proprietary foundation for capacity building across nations. This alliance aims to bring together a capacity building, a global funding, to drive policy design and standards, industry, to build digital commons and specialized solutions, academia, for the network of knowledge, research, and innovation. Civil Society, the champion systemic equity. and ethical accountability. DPG Partners, to orchestrate ecosystem for spirit impact, startups, to catalyze solutions and co -creation. Steered by the Capacity Building Commission and Karmayavi Bharat of Government of India, a global public good for inclusive, ethical, capacity building.
In the spirit of Selvajan Hithai, Selvajan Siddhai, Velsa for One, Happiness for One.
Thank you so much, sir, for launching the blueprint. May I kindly request Honourable Minister Sir and all the dignitaries on the desk to stand for photographs. Thank you. Thank you. Thank you, sir. May I invite Honourable Minister Sir to the podium to deliver the keynote address for the afternoon. Thank you.
Of course, you saw how it concluded and Dr. Ramadurai was giving the perspective of how does AI and its use payment for the public services, what are the challenges by way of capacity building. the learnings that we have had under Mission Karni Yogi, how valuable are they going to be to inform this whole journey that all the global partners, global governments, stakeholders are going to further take their steps towards. And the summit has seen the Honorable Prime Minister and the vision by Ruf Mano that he explained yesterday, which is totally bringing in the level of the need and importance of having a human -centric approach, the hands of the human in every decision that is being made that will impact citizens in every which way.
So I think the world capacity building is looking at that capacity and capability that we need to put in the hands of every public servant from the secretary at the policy level to the community level frontline worker. How do they use, navigate and… building the intellect that is needed to make the correct, ethical, modern value -based decisions when it’s going to impact the humankind in general. I think we have had a lot of fruitful insights from our partners, the panelists. And so this is almost a culmination of a long month, months that we have spent in discussing these issues with our stakeholders, whether it’s from the industry, the partners, our service providers, academia, startups. We were able to bring all of them together today.
And the document that has been unveiled by the minister just now is bringing all of those learnings and insights together to call for action in all of us who are working as experts in our fields to come together. collaborate, strengthen each other’s hands and responsibilities to forge that pathway with the human centricity that is required in handling the capacities that we have given to our baby, which is the alien and augmented intelligence. I think, sir, that is where your keynote now would give us the further needed guidance that you think at the political leadership level, how do they view the whole capacity building space? And like Robin said, this is very important that oft sidelined sector of public governance, but now we have the opportunity of bringing it center stage.
I don’t think we should lose this opportunity to take the leap with utter faith. Thank you, sir. Thank you.
thank you for reminding me that you needed my guidance. And more than me, reminding all the women in the room that they have to listen to my guidance. But I know you have already done enough of that task. But thanks for your kind words and trying to encourage me to stand before this program. Now we are simultaneously talking about two, three things this afternoon. We are talking about governance, we are talking about capacity building, and we are also trying to bring in an artificial intelligence interface, which of course, in any case, we like it or not, we don’t have to do it, it’s all good. You know, we fear of life in every domain that we work in.
Now governance, if you take, governance is a dynamic process, like many other processes in every domain that we are engaged in. So also is capacity building. It’s dynamic. It’s continuous, doesn’t it? And the time would be such a fast track movement that by the time you bare yourself tomorrow, when tomorrow happens you realize that you were only to worry about yesterday. And then upon that, the artificial intelligence. And the role of both in capacity building as well as in governance. And you talk in the context of India today, when you talk of a framework which invocates the best of all the three, I think the most encouraging feature is that we have a government in place, a political dispensation in place, which is supportive of all these ideas and all these initiatives.
Till about maybe 15 years back, we wouldn’t have ever thought of a theme like this gaining priority in an economy. We would have never thought of a dynamic room of this nature. And therefore, this is a dispensation of the Prime Minister Modi, which is not only ready for futuristic ideas and initiatives, but also for future -ready ideas. And that means, while it looks very fanciful, romantic, talking about artificial intelligence, even if a grocer shop puts on a banner outside, they hear my items are sold through AI, I’m sure he’ll at least be able to attract some number of customers. So that’s a new nature. But at the same time, being unrealistic and pragmatic, and Mrs. Radha had also been secretly DOP’d before she took over her present assignment, we are also free to shed away some of the old baggage.
So while we are running into what is new, we should also… We also have the capacity, and we should be non -possessive enough to unbend something which goes to our chest for so many years. And I’m proud to say that in the last one decade, this government has done away with almost 2 ,000 rules. And that sin has not been committed alone by me. Madam Radha is me equally. Kirti Ardhan. And let’s recall, many of the rules were designed for the times that they were designed. They didn’t have thought of artificial intelligence about 100 years back. They were having rules which were haunting us for more than a century. Getting our certificates, documents attested by the economy before.
We didn’t even know that. We have our means. And we also have now means to trust each other. So at the same time, also we have opened up to learn the new practices. And to also, while learning new practices, to be able to learn new practices. So very capacity. Two building, commission sitting with the governors. because when you learn the practices, you must also learn to bring capacity to learn. So artificial intelligence, the basic mantra is to learn to be a good learner. And if you have not learned, then to learn to be a good learner. And capacity building condition is one instrument which helps you do that. And this also was the idea which first came from Dr.
Moti. I think quite a novel idea for a government sector because usually governments are used to work in a status quo mode. So we have a flow of a private sector. Bandhu is there, and here we have Agam there. Because now we have also got over the barriers of private and public sectors. Unless we learn to learn from each other and also give up our sceptical, we will not be actually building up capacity to the optimum. We will be building up capacities which are limited by certain barriers. And that will not be an unbridled learning. So, capacity building commission was there, mission current lobby was being talked about, was also there, creation, IE God, and all these are testament to the governance reforms being accomplished through optimum technologies.
Now, this lies, which is being lodged. Now, when we talk of digital public good, fortunately or unfortunately, I am one of the few who are from the school of science and business. So, if you take out the first word, digital, and just concentrate on public good, you will realize that non -governance is synonymous with public good. So, public good, essentially, would be at the core of the good governance. It is just that now it is started using digital means, so it is fanciful. I am known because now we are adding to the age of human epitome. So we say DPG. So now we are adding DPG. But to a hardcore old fashioned scientist student, if you ask me, I would say nothing.
It is just the same. Good governments, family good. I am just going to write how the day one has been, because I think the Prime Minister himself, one of the earliest declaration was, maximum or minimum government, which another word means, a government which is citizen centric, which is accountable as far as possible, which is transparent, and the ultimate human stress effort is to bring in ease of living. So all that DPG was happening earlier, only the announcement is being made today. Now we see that there are kind of events now. I think the Prachinidhi Commission developed appreciation because they were very independent. They were very much instrumental in taking us when they got these. frameworks.
And I must also congratulate Madam Radha and her team for this launch of digital capacity building allies. But the idea is, yes, even perhaps. But the guiding principle ultimately all of us would agree would be to build at a scale which is optimally inclusive to give as much inclusion as possible and these are others to learn and also to adopt. Otherwise the very purpose of the allies would not have been achieved. And therefore for that purpose artificial intelligence could be a powerful tool. But certainly not around itself. Now the same ministry would be already using it from the experience of the world where the optimum mix is something which is why would I put in a silver at this audience human record of AI plus HIV artificial intelligence plus human intelligence and we learned that in a hard way while being under the CP grams we are feeling very proud that our disposal weight of legions has increased to more than 95 % almost 100 % per week sometimes but everybody went back to the long phase so I told him then secondly we answered greenness disposal 100 % happiness disposal 0 % when we looked back and said I said no that’s something you call happiness index being discussed in the West so we actually had to introduce a human desk over there because everything was happening all night AI and the control would come before you expected it so that the person would end up saying, so somebody there to construct, so that kind of, so I think that hybrid model is something which is ultimately going to be effective in my own means.
As far as I’m concerned, the morning I was listening to the IMF chief, she said India’s progress in the AI initiative is phenomenal. So I think we have already received recognition from the global judges of global benchmarks. But that’s the part what is suited to our conditions. Because a country bar sitting in Gaurav may not be used to talking. We are not used to talking. For example, another example of hybrid model I will give, we have, I think I’m going to leave, who has the voluntary clinic in my constituency. and there were two doctors one was surgically sitting there the other was an AI doctor she is a lady then they take the history they do it right do all the assessment connect it to one of the leading hospitals you are planning 3 -4 of them connect to the super specialist there I know where the prescription is published just about 40 -50 minutes it’s a very new creative health startup now but of course we are not in the school of therapy so when the patient comes the physical doctor talks to him and he feels more gratified than the AI doctor talks to him but she talks exactly the same dialect or better than what he talks so now he speaks Bhojpuri she would speak better Bhojpuri so the debate is over and I am not talking without the udders because in medical partners we have something called placebo effect and Indians are very used to placebo effect you should get the placebo effect if you don’t get well if you don’t get well what should I do?
So you have such a whole new world to question. So it may be bad in government context. So as they say, Indian data, Indian solutions, Indian systems are important. So we need to have a very much digitalized vehicle. Maybe other nations or cultivators may not require that, but we will always be driving it. And I think with this alliance, the Peter model that Radha has suggested, we would be able to engage more in valuation than by preparing this draft chapter with the content standard and the evaluation framework that is required. But in the end, I will just pick up on what she said, the Manav part of it, which the Prime Minister spoke yesterday. Now, how many in this room actually, I mean, have been able to decipher what was meant by that Manav?
not a single hand has gone across hospitals so I think before you leave this room if you have a iPad or a notebook, you can say it out M stands for moral and ethical systems A stands for accountable governance N stands for national sovereignty and second A stands for accessible and inclusivity and finally A stands for validity and legitimacy now when we don’t have the capacity to learn the term, we have the capacity to learn the acronyms and very soon the artificial intelligence will take up this much capacity also we need to be present we need to be present what is the amount of the other day when I was watching this large -length model and we were going to send the language back to the Zohar.
So I said, no need. But along with that, we have also buried that beautiful breed of English that we had in the early age of mission. We can’t see people who know more than five languages, because we know them more than six languages, so many of them. Now we are at the risk of even forgetting our own language. We have someone else to do it for us. So that’s the why, in the end, I think the two years, because what I’ve done, I’ve been into this AI business quite deeply. For the last, it was half a decade, I’ve been trying it in different fields. So ultimately, I think the moral which I draw from myself, because these people can’t be enjoying for others because we have to learn for themselves, is that one has to be intelligent enough to use artificial intelligence.
Otherwise, you don’t get into this business. And we are which is I think the tagline also for some of the media persons which they are there. Artificial intelligence can substitute everything on this planet but it cannot substitute integrity. Now whatever you do the other day the law in this study was writing two days back somebody said now you will be able to get rid of these people it is like this is happening I said no because the doctor is sitting thousands of kilometers away doing an ultrasound on a lady who is thousands of kilometers away so you would not be able to actually do any I said now if I am a doctor and I am smart enough I will then be percentage to my brother’s side when the media peers who have to do the sex determination just sound around me and do that.
So that is integrity. So I think I think that is the most important thing if we are not able to use this with integrity we might run the risk of ending up also not putting to active use so much of other government’s models that came to us but got ruined away not because of reasons attributable to them but the reasons attributable to more of us who had been assigned to handle them. Thank you very much.
Thank you so much sir for that insightful address and laying emphasis on the need for integrity which is only possible through the idea of having human in the loop something which also finds mention in the blueprint that we have just launched. with this we come to the conclusion of the event I extend my heartfelt gratitude on behalf of capacity building commission and Karmel Kiwara thank you so much Honourable Minister Sir dignitaries on the rise and all those present here thank you so much I now request the panellists also to just stay back for a quick minute for a photograph with Honourable Minister Sir and the dignitaries on the rise also all present I would like to take this opportunity to invite you to motion Karmel Kiwara in all the five thank you again Sir please thank you so much thank you thank you
Chris Martin: Hiya, how are you doing? Check, check. Is that better? Cool. Again, hello. Welcome. My name is Chris Martin. I’m head of policy innovation at Access Partnership. We’re a global …
EventSo that’s a pretty big gap to close and we see gaps like this all the time. One of the biggest gaps is leaders not using the technology themselves, which is a real problem because you can’t understand…
EventEthical Concerns and Risk Mitigation Human rights principles | Development Zhang emphasizes that human-centric principles should be the common framework for AI ethics, arguing that AI should be more…
EventHis solution advocated for “intelligent governance” built upon five core principles: human-centred design, transparency and accountability, risk-based regulations, global cooperation, and adaptive pol…
EventCorporate Trust and Ethical Governance
EventFrom the community health worker delivering nutrition to an expecting mother to the balancing worker strategizing access to specialized healthcare. It is the quality of this human layer that will ulti…
EventFrom the community health worker delivering nutrition to an expecting mother to the balancing worker strategizing access to specialized healthcare. It is the quality of this human layer that will ulti…
Event_reportingAbhishek Singh: One part is that, of course, the way the technology is evolving, there is IP-driven solutions and there are open-source solutions. So what we need to emphasize is to promote open-sourc…
EventAmmari highlighted META’s open-source approach to large language models, explaining, “META has adopted an open source methodology with its large language model. What that means is that these large lan…
EventExcellent point. Excellent point, Trevor. And I think you brought out the inherent stress in the phrase diffusion pathways. Diffusion pathways. Definition is everywhere, right? Pathways by definition …
EventBrazil:Thank you, Robin. Distinguished Delegates, it’s an honor to be here today at the Global Roundtable on Building Capacity and ICT Security, an event of utmost importance in the pursuit of a safer…
EventFive identified risks: ethical risk, operational risk, exclusion risk, public resistance, and widened gaps between public and private sector capacities. Government AI use has potential dangers that co…
EventIssues particularly evident in joint or cross-force environments where systems must function across organizational, national, and technical boundaries Most current AI deployments rely heavily on lega…
EventThis comment elevated the technical discussion to a more sophisticated understanding of systemic governance challenges. It influenced subsequent speakers to address implementation gaps and moved the c…
EventThis statistic provides concrete evidence of the implementation gap between AI pilots and production systems. It challenges the narrative that technology is the primary barrier and identifies data gov…
EventAn expert panel convened to examine the complex relationship between Information and Communication Technologies (ICTs) and environmental sustainability, particularly in light of climate change challen…
EventArtificial intelligence (AI) is improving the ways we live, work and solve problems. It can also help us fight climate change and protect the environment. The technology has the potential to accelerat…
EventAI’s energy demands. Threaten to outpace green energy progress. Model providers face a stark reality. AI’s energy needs are growing faster than supply. Second, it’s a fairness crisis. Massive AI model…
EventAI is increasingly recognised for its transformative potential and growing environmental footprint across industries. The development and deployment of large-scaleAImodels require vast computational r…
UpdatesThe tone throughout is consistently formal, diplomatic, and collaborative. Speakers maintain an optimistic and forward-looking perspective, emphasizing partnership and shared responsibility. The discu…
EventThe tone is formal, diplomatic, and aspirational throughout, maintaining a consistent message of urgency mixed with optimism. Guterres speaks with authority as a global leader while emphasizing collab…
EventIn conclusion, the speaker hopes for a constructive meeting, reminding attendees of the global imperative for openness, inclusivity, transparency, and accountability, and anticipating a successful and…
EventThe overall tone was formal yet optimistic. Speakers acknowledged the serious challenges posed by rapid technological change but expressed confidence in the ability of democratic institutions and mult…
EventThe discussion maintained a serious but collaborative tone throughout. It began with formal opening remarks emphasizing urgency and responsibility, evolved into practical sharing of national experienc…
EventA significant point emphasized in the presentation was the challenge posed by legacy systems:
EventHowever, there are arguments suggesting that legacy systems present challenges in the journey of digitalisation. One viewpoint is that these legacy systems hinder progress towards SDG 9, which focuses…
EventHafiz Muhammad Farooq: First of all, thank you very much for inviting me today for this great panel discussion. I’m Hafiz Farooq from Saudi Aramco, so it’s a great question. I would say in the de…
EventThe overall tone was constructive and diplomatic, with most delegations expressing willingness to compromise and find common ground. There was a sense of urgency to reach agreement, given the approach…
EventThe discussion maintained a collaborative and constructive tone throughout, with panelists building on each other’s insights rather than debating. The tone was professional yet passionate, reflecting …
EventThe discussion maintained a consistently optimistic and collaborative tone throughout, characterized by mutual respect between French and Indian participants. The speakers demonstrated enthusiasm for …
EventIn conclusion, the delegate’s remarks highlighted the enduring spirit of solidarity and collaboration, while also conveying gratitude for the persistent contributions of the Chair and other key indivi…
EventThe discussion began with an optimistic, collaborative tone as panelists shared their expertise and perspectives. However, the tone gradually became more realistic and somewhat pessimistic as speakers…
EventThe tone was consistently collaborative, optimistic, and mission-driven throughout the conversation. Speakers demonstrated mutual respect and shared commitment to inclusive AI development. The atmosph…
EventThe tone is consistently optimistic, collaborative, and forward-looking throughout the discussion. Speakers emphasize “limitless potential,” mutual benefits, and shared democratic values. The atmosphe…
EventThe discussion maintained a collaborative and constructive tone throughout, despite addressing complex and sometimes contentious issues. While there were moments of challenge and critique (particularl…
EventThe tone began optimistically with audience engagement but became increasingly concerned and urgent as panelists revealed the depth of AI-related challenges. Sherry Turkle acknowledged being “the Grin…
EventThe tone begins confrontational and personal as Hunter-Torricke distances himself from his tech industry past, then shifts to educational and expansive while presenting AI capabilities. It becomes inc…
EventThe tone begins as analytical and educational but becomes increasingly cautionary and urgent throughout the conversation. While Kurbalija maintains an expert, measured delivery, there’s a growing sens…
EventThe discussion maintained a collaborative and constructive tone throughout, with speakers building upon each other’s insights rather than debating opposing viewpoints. The atmosphere was academic yet …
EventThe discussion maintains a consistently positive and collaborative tone throughout, characterized by gratitude, celebration of achievements, and forward-looking optimism. However, there are moments of…
EventThe tone throughout the discussion was consistently formal, collaborative, and optimistic. It maintained a celebratory yet professional atmosphere, with speakers expressing gratitude for the collabora…
EventThe tone is consistently celebratory, optimistic, and forward-looking throughout the discussion. It maintains an enthusiastic and grateful atmosphere, with speakers expressing appreciation for partici…
EventHajia Sani: Hmm. Another round of applause, please. Another round of applause. Thank you so much. He just offered that the West African ECOWAS Commission is going to support the next host of the West …
EventThe discussion maintained a collaborative and constructive tone throughout, characterized by diplomatic language and mutual respect. While there were some tensions around specific content (particularl…
Event“Prime Minister’s “Mani Vision” – a human‑centric framework for ethical, accountable and inclusive AI governance”
The official name of the framework is “MANAV Vision”, presented by Prime Minister Narendra Modi, not “Mani Vision” [S129].
“Chairperson Shubhavi S. Radha Chauhan of the Capacity Building Commission highlighted the Vision”
The existence of the Capacity Building Commission and its role in AI workforce development is documented in the knowledge base [S2].
“Prof Guilherme Albusco Almeida (Brazil) was a panelist”
Guilherme Albusco Almeida’s participation in the summit panel is recorded in the knowledge base [S16].
“India’s approach is a “third way” – a partnership model between the US‑led market race and China’s state‑led techno‑nationalism”
The knowledge base provides a definition of techno-nationalism, clarifying the contrast with the US market-driven model and supporting the report’s framing of India’s “third way” [S140].
“India’s extensive digital public infrastructure (RADAR, UPI, digital locker, etc.) serves as a “trust architecture” for AI”
India’s digital public infrastructure initiatives, such as Mission Kalmaragi and related capacity-building efforts, are described in the knowledge base, giving background to the report’s claim [S2].
“Future AI will rely on “small language models, context‑specific, sectoral, and decentralised” rather than massive monolithic systems”
The knowledge base mentions a push for frugal, low-carbon-footprint AI and the need for more lightweight models, which adds nuance to the report’s statement [S108].
The discussion shows strong convergence on several fronts: the necessity of trustworthy ethical frameworks and human‑in‑the‑loop integrity; AI as a catalyst for inclusive, citizen‑centred development; a shift toward small, edge‑oriented models; extensive capacity‑building through customized competency frameworks and personalized learning; South‑South partnership models, especially Brazil‑India cooperation; and embedding climate‑sustainability into AI programmes.
High consensus – most speakers echo each other’s core positions, indicating a solid shared foundation that can facilitate coordinated policy actions, joint programmes and the launch of the Digital Capacity Building Alliance.
The discussion showed broad consensus on the importance of capacity building, ethical governance, and South‑South collaboration for AI in the public sector. Disagreements were mainly technical and implementation‑focused, such as the current awareness of ethical frameworks, the depth of system re‑engineering required, and the allocation of resources for climate‑related AI initiatives. These divergences reflect differing institutional perspectives (government vs. private sector vs. academia) rather than fundamental ideological conflict.
Moderate – while all participants share the same overarching goals (ethical, inclusive, and sustainable AI deployment), they differ on how to achieve them. The disagreements are likely to shape policy priorities, with potential implications for the speed of implementation, the design of capacity‑building programs, and the financing of green AI projects.
The discussion was shaped by a series of pivotal remarks that moved the dialogue from high‑level optimism to concrete challenges and solutions. Dr. Washima’s opening set a trust‑centric agenda, which was sharpened by Shubhavi’s vision of decentralized, sector‑specific AI and reinforced by Subramanian’s geopolitical framing of India’s ‘third way.’ Anil’s technical critique grounded the conversation in implementation realities, while Robin’s data‑driven gaps forced participants to confront the lack of ethical awareness and evaluation. Subsequent comments on climate‑aligned AI and Dr. Singh’s insistence on human integrity provided actionable pathways and a unifying ethical narrative. Together, these comments redirected the flow from abstract enthusiasm to a focused, multi‑dimensional roadmap for responsible AI capacity building.
Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.
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