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you you Thank you. Thank you. Thank you. Amen. Thank you. . Thank you. Thank you. you you you you you Please take your seats. The program is about to begin. you you you Climate change is straining food, water, and health systems across East Africa. Communities, women and mothers especially, who carry so much of this burden, are adapting in smart, resourceful ways, with solutions born of generations of wisdom. But this knowledge stays local, untested and invisible to the science and policy that could help it scale. Every day I see people in my community coming up with solutions for health, climate change and economic change. For instance, how to get away through a flood that kills their own cattle, or what to plant when water resources are scarce. Community Voices for Change with Shujas Inc, the London School of Hygiene and Tropical Medicine and World Vision is building and testing a system in Kenya, Somalia, Malawi and Tanzania to turn community wisdom into a live, longitudinal data source of experiential insights for communities, policy, and science. I am one of the community researchers here in Kenya, but we do not do research alone. We are also part of the communities where we do research. We share with other communities and even far away. Multiply those conversations by thousands, happening every day, uploaded and analyzed by AI in real time, cross-referenced by scientists to spot trends, risks, and emerging solutions, then fed straight back to the communities and decision makers who can act on them. This project works through harnessing the lived experience and local knowledge of thousands of community participants, integrating it and mainstreaming it to inform policy and practice at scale. Shujas Inc. has proven this model in Kenya, and with our partners, we'd like to scale this in Malawi, Tanzania, Somalia, and beyond. Please welcome to the stage our host and moderator, Raj Kumar, Debex. Good morning. It's wonderful to be with all of you. Nice to see some fellow CGI veterans in the crowd, some old friends who've been coming since the first one, like me. I am not surprised to see a packed room. We have got a star lineup, and we've got the whole is AI going to kill us back story that everyone is asking this week at the UN General Assembly. But if you read DevEx, you read, sure, lots of negative headlines that we cover about cuts to foreign assistance and challenges around the world. But you will also see a theme, which which is there are a lot of people, especially in the lowest resource settings in the world and in the country, who see opportunity in AI. And that's what we're here to talk about today. Are there ways to protect the public and humanity, to set up guardrails, but to get the benefits of a new technology that can really transform health care and education and agriculture and so much more. So we're going to hear all about that, but you know, as some CGI veterans in the crowd do, that we don't do anything without commitments. And I would like to start us off this morning with some of those commitments. So please join me. I'm honored to introduce three CGI commitment makers who are showing us what is possible when we embrace new technologies and ensure reasonable and essential guardrails are in place rather than running from them all together. Laura Zahmer is with us from Fak Chekeando. We have John Browning from the Global Mentorship Initiative. and Christy Garten from 1000 Dreams Fun. Please join me on stage. Welcome, everybody. So as AI-driven misinformation and gendered political attacks become more pervasive and insidious, many community and locally-led Spanish-language media outlets don't have the resources or technical expertise to integrate and respond to this new technology. FAC Chequeado is launching AI Sin Fronteras, a three-year initiative to confront these threats to democracy across the Spanish-speaking world. FAC chequeado will support 50 Spanish-language newsrooms to integrate AI responsibly, while its partner, Chequeando, adapts the same model for 15 outlets across Latin America. Through the AI Integrity Lab, more than 145 media and community partners across 27 U.S. states and Puerto Rico will work together to monitor synthetic political content, identify narratives, conduct research, and coordinate Spanish language verification. Please, a round of applause. Thank you for that important work. As AI dramatically changes the global labor market, Global Mentorship Initiative is committing to make sure young people in the global south aren't left behind. GMI is launching a mentor guided AI workforce readiness certification to train 2,500 students on effective and responsible AI use, focusing on first-generation, low-income, refugee, and displaced students. Through a six module curriculum, they'll learn from AI industry experts and apply those skills to practical workplace scenarios, preparing them to use AI effectively and responsibly. They'll graduate from the program with the confidence, skills, and network to land their first job. Please, a round of applause for that important work. Thank you. And 1,000 Dreams Fund is using AI to match high potential, yet historically excluded young women from around the world with industry mentors. Through 60-minute, one-on-one sessions, college students, graduate students, and early-stage professionals will have an exclusive opportunity to learn from industry leaders and develop the market-relevant skills needed to compete in high-growth sectors. This digital infrastructure will allow 1DF to break free from the limits of manual mentor-mentee matching and the constraints of in-person meetings. They'll open the door for cross-border opportunities, remote jobs, and global professional networks. Together, 1DF and its dedicated mentors aim to reach 300,000 members of the next generation of women leaders with career readiness opportunities, setting them up for future professional success and economic security. AI will continue to have a profound impact on human life. It's up to us to make sure it does more good than harm. Please join me in congratulating 1DF. And you can see why it's possible to have an optimistic take on where all of this new technology is going to take us. These commitments to actions, I think, are examples of what it means to get AI right, how the technology can be harnessed to create more opportunities rather than fewer. And if you're excited about the work they're doing or you want to learn more, of course, reach out to them. I'm sure they would love to connect with you. We're going to make a quick photograph and then we are going to move on to the next part of the session. Thank you. Please welcome to the stage Catherine Chiani, the Chiani Foundation. Good morning. Thank you so much. If AI had been used to compare two MRI scans of the same brain, five months apart, you would be hearing from my dad, Joe Chiani today, not me. Instead, he's in California recovering from a procedure that he should have had five months ago for a leaking aneurysm that was in those images and was missed. The technology that would have caught it already exists. What it needs is the distance closed from the lab to the clinic. Radiology is where AI entered medicine first. This year, the first randomized trial of AI-supported mammography, 100,000 women found 29% more cancer with no rise in false positives and actually cut radiologists workload nearly in half. And when researchers ran an algorithm back, over 2,600 had CT scans. They found 23 brain aneurysms that human readers had missed. 23 families. Last week, I asked a fellow investor what he made of AI and medicine. He said, it's overhyped, and it is still going to be so much better than we imagine. I think he's right, and I would go further. It's going to change how medicine's developed, how it's practiced, and what we even mean by health care, because the real use case is not replacing a doctor. It is making a doctor a force multiplier with these AI superpowers orbiting around them. Tomorrow, one of these superpowers is x-ray vision. I'm Catherine Chiani. I'm a member of the Chiani Foundation and managing partner of Elderberry Ventures, where we back early-stage med tech. Giving surgeons x- ray vision was my first investment. Today, a surgeon plans an operation using a CT scan taken weeks earlier with the patient in an entirely different position and they'll be on the operating table. And then to see inside the body during surgery requires a second CT scanner in the room, which means more radiation, more anesthesia, and frankly, a machine that most surgery centers will never own. Illuminate Surgical uses AI and takes two ordinary x-rays, which every surgery center already has, and transforms them into a live three-dimensional map of the patient on the table. First, for spine surgery. Next, predicting how a lung tumor moves with every breath so that a biopsy needle finds it on the first pass instead of the fifth. That is the difference between recovery measured in months and one measured in weeks. Precision from a handful of academic hospitals brought to any operating room anywhere. 2026 has been a critical cornerstone of ai medicine actually i think it was 12 days ago that the first drug discovered by generative ai entered a phase three trial we can now design a drug for one person that is perfect for them but the system that tests and approves medicine was built for populations and so it moves at population speed last year the fda cleared a wristwatch that flags high blood pressure in people who don't even know they have it, putting the first warning signs in the patient's own hands. The bed that you sleep in is pursuing clearance to catch sleep apnea and treat the symptoms of menopause. Now, I don't think that AI will cure every disease, and I can't stand here telling you that it will, but what it will do is find disease early enough so that terminal stops being the word we use. Because cancer caught at stage one is not a death sentence. And an aneurysm found on the first scan can be coiled before it bleeds. The diseases that kill us mostly kill us because we find them too late. And that is philanthropy's oldest promise, not just to heal, but to prevent. Most people think philanthropy means giving money away, but CGI is proof that it means bringing action forward. So thank you to President Clinton, Secretary Clinton, Chelsea, and everybody in this room who turns commitments into action. My dad spent 40 years building life-saving medtech. Now we're putting our capital and his experience behind founders building the next generation of it. But we are only one family. It will take thousands more to close that distance and bring life-saving innovation to the patients and their families who need it right now. Thank you so much. Please welcome back Raj Kumar. All right, I'm back and thrilled to introduce our next session, which is going to be led by no one other than Chelsea Clinton. Chelsea is well known to our community at DevEx as a leader in global health. She spent a career working on vaccines and pandemic preparedness, but you might not know she's also very engaged in the question of AI and how to use it responsibly, thinking about what it means for our kids, those of us who are parents, and think about all the new AI tools that are being marketed to children, how those can be used responsibly, thinking about how AI can transform health here in the United States and around the world. So I'm thrilled to hear a conversation she's going to lead with two leaders who are also looking at scaling AI responsibly in two different parts of the world, Governor Wes Moore, of course, the governor of the state of Maryland. He is in the position of trying to position Maryland as a leader in AI, attracting AI investments and jobs, while also ensuring that the technology can be used responsibly for the people of his state. And Kate Callett, who is the CEO of Amini, which is an AI startup, Kate herself seems like she might have been created in an AI lab, if you read her backstory. She has worked for a number of the biggest AI chip companies around the world, and now she's taking that knowledge to build sovereign data infrastructure in Africa and across the global South. So these are two impressive leaders right at the forefront of this key issue, and I'm thrilled to welcome them to the stage along, of course, with Dr. Chelsea Clinton. Raj, thank you for that overly generous introduction. I hope that we have a lot to cover, so I'm going to jump right in. I'm gonna start with my old friend, Wes, whom, if he weren't my old friends, I would call Governor Moore, but that just sounds awkward for someone that I've known more than half my life, so I hope you will forgive the impertinence. Wes, as we were chatting earlier, you signed the first AI governance legislation in Maryland in 2024, which now feels like generations ago in the life of AI. Why was that important to you? Then what has happened since and what are you focused on for the future? Well, first, I just want to say good morning, everybody, and how thankful I am to be with you, Chelsea, and also you, Kate. Chelsea is literally one of the brightest people I've ever met in my life, but in addition to that, just one of the truly most caring and kind, and so it's always a joy to be with you, and especially and be in conversation, so we're grateful. You know, it's interesting because it is true. We signed our first action on this in 2024. It was brand new as a governor, and in fact, even before that, when we were going through the process of building out our administration, as I was interviewing candidates to become our secretary of the Department of IT, or DOIT, as we call it in Maryland, one of the first questions I asked each person I was applying was, tell me your strategy for AI. So we knew quickly this was something that was not only coming, it was already here. And the thing I think we just continue to see is that one ofthe biggest differences between what we signed in 2024 and what we're seeing now is how much has evolved where we know we're not even talking about how much is evolved in two years it's how much it continues to evolve from last month because when you have this measurement of agentic AI it's just constantly learning constantly thinking constantly evolving and so we wanted to make sure that we could actually utilize it with the proper guardrails and we'll talk about that but make sure we're utilizing it to better the life of the people in our state and so you know by being able to say how can you have a government that is more efficient and effective? And how do you have something that's also more responsive to people's needs? We've been able to incorporate AI, for example. We're now using AI for everything from customer services and human services to things like our summer SNAP for summer food for our kids. There's about three quarters of a million children in Maryland who are now receiving their summer food supports through AI, making sure they can get ease of access, that we've used it for things like permitting reform. And when it comes to everything from being able to build more affordable housing and making sure we can increase housing inventory, that permitting that usually would take months, we can now have within a matter of days. And you're seeing the same thing about how we have, you know, helping our businesses select locations. We created something called the Maryland Compass, which basically is for For developers, for businesses, if you're looking to invest in an area, we have made it so easy for you to be able to learn about that area, steer you towards areas that we think are, you know, that we need greater levels of investment, make it simpler for you to understand what are the guidelines, what are the parameters, what is the permitting process, where it's a one-stop shop for people to be able to say, I can go in, assess an area, get my permitting done, literally in a snap, and now know that I can now build new housing in West Baltimore, in a place where we need more new housing, and look at our vacant inventory. And so we're very bullish on what it is and what we hope it can be, but we also know that our ability to kind of stay in front of it is crucial because for everything you do on AI, you just have to be very clear that while your operations might shift because the technology's moving, your values can't. And those are the things we continue to lean on. Wes, I wanna come back to the question of values and guardrails, which you did reference earlier. Before we do that, though, I want to turn to Kate and ask you, Kate, to reflect on, I mean, as you've said, it's built on data sovereignty. you're building purposely for um african markets you um even leaving aside what raj said that maybe you were kind of built in a lab you've spent a lot of time working in kind of ai labs in different companies um i also saw you nodding along frequently to what west was saying um what are your kind of current um hopes and expectations for what amini can unlock and enable kind of the analog to what Wes was talking about in in Maryland and I wonder since you're the kind of technologist on the stage if you can reflect also in kind of the latter part of your comments on the question of safety and guardrails so good morning everyone it's a pleasure to be here first I was not made in a lab I do spend a lot of time but I'm very real and I was nodding a lot to what governor was saying because the vision he has for his state is actually where we want to get our countries to and I spent most of my career working for the biggest US tech companies like lastly at Nvidia before deciding that I needed to really put everything that I had learned to the benefit of the people who mattered the most for me and the communities across Africa and the global south. So four years ago, I took the leap of faith and moved from New York City to Nairobi, and really, the starting point of the company has been around the question of data, because you can't build proper AI systems that are contextualized, that are useful, if you don't have access to high-quality, trustworthy data. I think we often forget that a lot of the global north has been building those foundations for the past 20 years. So there is abundance of data that exists. You have connectivity that reaches beyond all the big capital, and you also have now access to technology, handsets, devices that allows you to really be able to interact with the technology on a day-to-day basis. When you think about the global south, we still have 2.6 billion people that are unconnected. A lot of them are in Africa. Then you add to that the compute divide. Africa is 19% of the world's population for less than 1% of the global compute capacity. And when we say 1%, the real number is closer to 0 than 1. So then you add those two together, where are you going to find the data to train the systems and make sure that those systems reflect the value, the behaviors, the needs of the communities that they're supposed to serve. And this is the whole premise and the whole thesis of our company. We truly exist to transition our countries from analog systems into the digital economy and make sure that when we do so and when the big AI labs are turning now to us to provide us access to those models, we actually are in a position where we can strategically negotiate and we can ensure that any technologies that is deployed in our countries is actually reflecting of our own values. It's a word that you said earlier and for me it matters a lot because when we engage with heads of states, when we engage with ministers across the global South, the first thing they said to us is, you look like you share of value, and this is why we want to work with you. And I think it's very easy to forget that in that world where all the conversation is around technology, but truly is about human values. So, Kate, then how do you think about kind of manifesting that in the work of, I mean, whether we're thinking about guardrails or kind of the safety checks that you're moving fast enough but not too fast, whatever that may mean for you. How do you really put your values kind of into practice in the architecture of what you're building with heads of state and also presumably with like the entrepreneurs and the broader public at large feeling like they're kind of all part of this together? It comes at different stage and at different levels. So first, when we look at it, we engage with head of states and we say, okay, the first thing you have to understand is what is the critical data that you have? What are the use cases that you want to be able to optimize for? Because you're not deploying AI for the sake of it. You're deploying AI to make the lives of your citizens better. So let's start from the start. But then the second thing is we have a very strict rule within the company that we established the moment we were formed. It was that our technology will never be used to harm people. So we will not sell to military or defense. This is a territory that we don't want to cross into because that's not the reason why we're building the company. Then thirdly, we look at really enabling not just the citizens but also the heads of state. You know, in technology, when you build products in the lab, there is this term that you use, which is dogfooding, which means that every product or technology that you build, you have to use it yourself first before serving it to someone else outside of the company. It's a very common term in big tech. So we decided to kind of flip that switch as well. And we actually using the government as our first customer. So when we work with the government, I'll give you the example of the government of Barbados because I know Prime Minister Motley will be here right after. But we started engaging with her and her team and our first user and our super user within the whole country is actually Prime Minister motley. She needed herself to understand what the technology could do for her before she actually implements it for her entire cabinet and for her citizen. And that really earned her trust and allowed us to really work with her, understand her value, and really codify those values, her values, the values of her country, into the technology we built for the country. So, Kate, what I hear you saying is that Wes should be the test subject of all new... I'm so sorry to your team behind the stage. But, Wes, I do want to return to this question of safety. and how you think about ensuring, I mean, both of you talked about, you know, bettering the lives of the citizens in the markets where you're working for you, bettering their lives, and Marylanders. You know, I love the example of the compass that you spoke to earlier. I think that many of us here, and kind of Raj referenced this in his introduction, you are thinking about this also as parents. How do we think about keeping our kids safe? I know you're also thinking about this in terms of employment and kind of broader infrastructure so you please take the safety question kind of in whatever direction is top of mind and then kind of what you're doing and what you planning on doing to ensure that you're making Marylanders lives better and not increasing you accidentally the danger it's um I'm not sure if there's something that we spend more time on or something that takes up more intellectual energy for me it's it's why we're in these jobs and for a lot of people this is very scary because for a of people again when they when they hear about AI you know they think Will Smith movies and they think the thing that's going to take my job or mean the thing that now is going to keep my child from being able to have opportunities and and this is a different type of evolution and revolution right because you know you had before you could have the you know the agricultural and the industrial and the technological revolution this one is a little bit different because this was those were about like what are we doing to make sure that we have greater supports that can better support man This one is actually asking a different question, is what is the usage of man in it? But we need to make sure that that's not where this conversation goes. And it means we have to be intentional about it, that we have the right to do it. We have to maintain control over this. And so we put out guidelines for our state about how we're looking at AI usage within the state of Maryland. And I'll say this very briefly. It has become more complicated. Because the absence of federal leadership on this is staggering. And we need it. But what we have done in our state is by basically saying the guardrails that we have laid out are saying, what are we doing to make sure that we are always protecting our, make sure we're protecting both our pocketbooks and also making sure that wir are protecting our industry partners? What are we doing to make sure that we are protecting our infrastructure? And that is a big deal for a place like Maryland, because if you look at the state of Maryland, Maryland is the home of the NIH. Maryland is a home of, you know, of the Applied Physics Lab. Maryland is home of of of the of the United States Naval Academy. Maryland is at home of Fort Meade. Maryland is also home of U.S. Cyber Command. Maryland's I mean, so all these assets are in our state. So we have to make that our infrastructure is protected. Second, we have make sure protecting our workers. and we are working with our union and working with our labor partners because the job of the technology is used to support our ambitions not to replace our ambitions and the third thing is we've got to make sure that our kids are always protected in all of this and that means the inclusion of these predatory algorithms, the uses of chat bots, the usage of defakes all these things still go back to what are you doing to make certain you're protecting our kids and so the reason that I say that we had to lay out our values and hold to them is there will always be conversations about evolutions and applications there will always be conversations about evolution and operations there will never be a conversation about evolutions of our values. And so anyone who's then working with our state has to understand these are our baseline values that you need to understand that you you need have a good framework of if this work is going to progress and move forward and it's something that we think is also scalable for other states to be able to have as a framework as well well and you also have real levers to hold actors accountable thankfully at the state level and I'm sure you'd be willing to do that you know Kate I would and you do it often I know you do and Kate I was really struck by what you said earlier which I knew conceptually but hadn't quite kind of kind of rendered into the percentages of 19% of the world's population and less than 1% of the world's compute but that you were kind of really less than even you know half of one percent of the world compute um closer closer to zero than than one as you said um how how does this conversation have to look different for you because if you know just reflecting on the on the young woman who spoke before we did you know if there will be global ability for kind of that earlier aneurysm diagnosis, that earlier cancer diagnosis, you will need more infrastructure, kind of compute and enabling infrastructure. So how does this conversation look differently so that you do move more quickly in some areas and also ensure that workers aren't displaced and kids are protected and the other things that Wes spoke to? I think the world is right now fractured into two there is the dominating part of the conversation which is you know the frontier labs that are now asking to slow down after a lot of people were asking them to slow down before but are now realizing that there is an existential crisis that's coming to us so we need to make sure you know we deploy AI systems with the right guardrails and the right frameworks then there is the second part of the world that is less lesser known and that's the global south so in the countries we operate in a lot of the conversation we are hearing is about diffusion how do we get more access to those models how do you enable a farmer in the village to be able to have better yield with with a small agricultural model or a climate resilience model which are great but for me we need to stop treating access as innovation and we need to start treating infrastructure as a responsibility infrastructure and capacity i would say because otherwise the world we're running towards to is going to be a world of another extraction if you look at the global south or specifically africa we've always been the source never the refinery. If data is the new natural resources, we are running a race where our data is going to be extracted, sent to another country to be processed, a model trained, and sold back to us at a premium. We cannot let that happen. So when the conversations are going towards we need to stop building data centers, I agree, the gigawatt factories, definitely. But there is still a part of the world where smaller modular renewable powered compute infrastructure that are much more purpose built for a specific use case or a specific country are still relevant and there are populations who need it and that is the only way we will truly create economic value out of AI in every single economies in the world which is i presume why you've anchored your company on data sovereignty absolutely you know in our last two minutes i wonder um and kate i'm going to start with you um what is not in the conversation that should be what should we have talked about today that we haven't what isn't kind of dominating the headlines you know kate particularly for you Where do you think maybe, you know, Wes and his team should be thinking anxiously or not that they might not be? What is it in the conversation, Kate? And Wes, the same question for you. What is not in the conversion? What is in the transition? I think it's the mechanism of extraction with the Global South's view. I think for me, this is the one that keeps me up at night. Within the next decade, you're going to have 1.2 billion young people who will enter the workforce in the global south. Only 400 million jobs are forecasted to be created for them. So if they don't have any infrastructure to build for themselves, how are they going to be able to survive the next generation? And for me, it's the biggest concern that is on my mind. And I think it's the one when we think about labor, when we think about AI diffusion and such, is the one that no one is talking about. I would actually piggyback on that point. We made Maryland the first state in the country to now have a service year option for our high school graduates. And so once you have a high school degree or equivalency or a GED, you then have a chance to have a paid year of service to the state of Maryland. And we say, we're not going to tell you what to do. Tell us what makes your heart beat a little bit faster. And we want to give you an opportunity to go do that. And we have people that are working right now and things like AI, we have an entire tech core for these young people who are then focusing on these areas. The reason I bring that up is this, is not only in this time of this political divisiveness and political vitriol, I really do believe that service will save us. That people need to actually start working together on big projects. But the other piece is, actually going back to Kate's point, what it's also interestingly become is a remarkably successful workforce development tool, where there's over 5 million people between the ages of 18 and 23 in this country that are neither in college nor employed. And that number will grow. that number also will create disillusionment and frustration and so we can have to have a way of being able to provide these type of platforms these type of anyways you know for us it's almost like a jobs guarantee for them to be able to help navigate because this is happening fast and I agree with you if we do not get ahead of this this frustration will turn to anger and the anger will turn to worse and so we have an obligation to be able to present something different and to be to get ahead on it so I'm gonna just exploit the fact that I have the microphone and say I love my friend Wes for many reasons we have five children between the two of us before we had any children we were campaigning not yet effectively to have a federal service year option and he gets elected governor of Maryland and he ensures that Marylanders have that. Wes, I am so proud to be your friend. Kate, I'm really grateful to live in a world where you decided to leave your company and build kind of more opportunity and better infrastructure, better protection and more hope for people across the global south. Please give these two remarkable leaders a round of applause. And you, Dr. Clinton. Thank you. Thank you. Thank you. Please welcome back Raj Kumar. All right. Nice to be back with all of you. That was a fantastic session. And we're going to continue the conversation with three philanthropy leaders who are really at the forefront of helping us make sense of this moment and come up with a way forward. I want to welcome to the stage Jamie Marisotis of the Lumina Foundation, Michelle Jawando of Amityar Network, and Sam Gill of the Doris Duke Foundation. Please join me. Have a seat. Nice to see you. Okay, well, I was listening to that fantastic panel and had a lot of questions, and I'm going to pose them all to you. The three of you are kind of at the forefront of one of the biggest questions that I get from everybody I talk to, which is, who's in charge right now? You know, AI is moving at this unprecedented pace. We heard the governor talking about the implications of that. being potentially profound for millions of people. And of course, Kate Callett talking about that for billions of people around the world. The three of you and a bunch of other foundations got together and said, let's try to create a platform where humanity has a voice in this too, not just companies and labs and governments. And I guess I want to understand, I mean, Michelle, I'm going to come to you since we've known each other for a while and just ask, is there a chance still in this rapidly moving dynamic to bring a voice that's not just about who's going to make the best, most powerful model quickest in the world? Is there a chance to bring another perspective to this powerful technology? Okay, we're going to be all right. All right. So I need everybody to take a collective breath, okay? There's still power, there's still agency, there're still opportunity. And I always like to start with that because if you read the news and what happened last week around pacing the frontier, we're like, is it over? Are the robots really here ready to take us over? And what we did as a consortia of 10 of the leading foundations said that actually all of our work has to center who we are as humans. And what has often happened is we've made the choice to let the technology happen to us instead of with us or for us or even deciding do we want this and is this necessary and do we need it and so 500 million dollar commitment from 10 leading foundations over the next five years to say we are going to center this technology in service of the public good, in service of you and I and what we want. And so I always say, it's okay. Don't be nervous. We still have this. You know, what's really unusual about this moment to me is that you have the frontier labs themselves saying we're concerned about this and wanting to potentially slow down or pace, to use their language, the development of these technologies. So it isn't just people in the advocacy community or foundations, nonprofits, and others, even the people building these tools. But Sam, I want to come to you on this because it's something you think a lot about and talk a lot about, this idea of pluralism. There are all these voices out there. How do we decide who kind of picks the path forward here? Right now, it feels a little bit like this is happening to us. How Do you want to see this evolve in a way that our voices are more elevated in the discussion? Yeah, I mean, I think the reality is that disruptive change is inevitable in any society. Technology is often the catalyst for that. Sometimes it's some other change in the fabric of society. And, you know, by definition, those disruptions are running out ahead of our ability to contemplate them, to manage them, cognize them, respond to them. And one of the things that makes it really difficult to respond to these changes is that we're kind of used to doing things the way that we do them. It's hard to imagine different ways to organize our communities, our institutions, our society. One of the reasons I think we tolerate philanthropy, we tolerate sort of individual private wealth playing such a big role in shaping the public good is because that very individuality is a source of innovation. It's a source of new ideas. It is a resource of new insights. One the principal contributions of the first generation of American sort of institutional philanthropists, the Carnegies, the Rockefellers, was actually to look around at the world that they had helped to build through their businesses and say, this is leading to a lot of good, but it's also leading to some bad. And we need to make investments in new people, new ideas, new institutions to respond to this. So I think the power of philanthropy is to bring that kind of spirit to, as Michelle said, to focus on the fact that these technologies should serve us and then to figure out what are the new frameworks going to be that help us to respond effectively. We're going to need to reimagine some of the core things that we do. And we heard Governor Moore talking about a service year. That's maybe a good example. and Jamie to bring you into the discussion as well, because this is one of the core things people are worried about. Is college still relevant in a world of AI where expertise seems cheap and ubiquitous? And what does this mean for work? This is an area you focus a lot of your career on. What is your take on this, on where AI moves us in terms of higher ed and early stage career growth for younger people? Yeah, I think it's essential that we take this moment to realize that philanthropy has a significant role to play in this. Catherine Kiana, who was speaking earlier, was talking about the fact that philanthropy is often seen as just writing checks. Well, that's not philanthropy. That's charity, and that's a good thing. That is helping. Philanthropy, what we do, what practice here, is about change. The difference between charity and philanthropy is that organized philanthropy tries to alter the conditions under which help is needed. That is what we are here to do as philanthropic organizations. And then the work that we do here, we're trying to deal with very large-scale system change efforts by taking risk. Again, that's another thing philanthropy can do. Unlike Governor Moore, who can get voted out of office if people don't like what he's doing, or like JPMorgan Chase's CEO, Jamie Dimon, at the end of the day, you end up in a situation where you can be voted out of office, you can have shareholders revolt. In our case, we take risks that others can't. So when we prepare people for the future of work, we've got to take risk. That means that we've gotta think hard about the ways in which people are being prepared for the things that only humans are uniquely qualified to do. So in the case of the future work, look, AI and the future is sort of ground zero in these conversations. We've seen so much about the fear that people have, but I think humans do have unique capacity to be ethical, to be empathetic, to interpersonally communicate, to do all kinds of things that really make a difference to who we are as humans, the higher ed system, the workforce training system, it's got to be organized in that way. But in order to do that, we can't do this alone as one foundation. That's why this platform that we have here called Humanity AI is working so closely together. And how, I mean, Michelle, you can come in on this. How are you actually going to operationalize this? I mean one way 500 million dollars sounds like a lot of money and another when you talk about trillions these days when you think about AI, it seems like maybe a drop in the ocean. How are you strategically deploying this capital to do some of what Jamie just described and to engage on these issues? Well, I want to start with this idea and this notion that money alone can change and move things. I think we need to dispense with that idea because if it was just money, the wealthiest ideas or organizations would solve every human problem that we know and we know that doesn't happen so much of our work is really value is centered in values around collaboration around trust about cooperation all things we tend to be in short supply of these days i often talk about the fact that philanthropy has capital but we don't always have collaboration and what we've intentionally decided to do here at humanity ai is to have a cross-sector approach. AI isn't going to just be in education or healthcare or technology or national security. It's going to touch each of us. So we need a multi-seector approach to solve and to talk about these problems. So there's both a combination of a pooled fund that we've all decided to contribute into and really look at what are those problems that government, that private companies, that industry can't solve, and how do we do that in service of the public interest? Access to technology doesn't mean capability. Access to technoloy doesn't means power. And a lot of what we're trying to do is shift power back to the public good, to the public interest. What do people, what do you want in the front row right now? What do you wanna see this technology do? That's where we're focused and that's how we're using our dollars both in the pooled fund and each of our individual organizations. Would an example, Jamie, be what Governor Moore talked about a service year? Like, do you think that's a good idea for the future workforce? That's your area of expertise. And if it is, is it the kind of thing you would as a group go and help other states to implement? Indeed. In fact, I work with President Clinton on the launch of the Corporation for National Service in early 1990s. So I've been in the part of the national service movement for literally my entire career. Look, at the end of the day, we need to prepare people for those things that are actually going to make a difference to them as human beings. I think many of you know the story that even the lowest wage workers will say they will give up money for meaning if they believe that they're making a difference in what they're doing. And in this case, I think using the service year as an opportunity to actually better prepare people for that is super important. I wrote a book in 2020 called Human Work in the Age of Smart Machines, where I was trying to sort of understand the question. this was pre-launch of ChatGPT, what are the humans going to do in an increasingly technology mediated AI driven world? And one of my conclusions was that we need to find more time together to work together. This was before, you know, before we had really sort of understood the impact of the pandemic, et cetera. And this means that we needs to learn more closely together as human beings. That's our work at Lumina Foundation. And we need work more closely as human beings going forward. A service here is a great way to do that. Sam, you talked about disruptive technologies are not necessarily new, but this does feel more disruptive and more quick than other things we've ever experienced. So I want to get your take on it. You know, as you look at the landscape that could be affected by the rapid deployment of AI, thinking about the creative fields, I'm thinking about, of course, workforce. I'm think about even the way, as we heard from Chelsea, parents interact with kids and the tools the kids have access to. Do you see this as a profoundly disruptive change, like something really at the scale of what you hear from the AI labs themselves who are saying, you know, this is going to change humanity's relationship with itself in a sense? Is that how you see it? And then if that's true, what are some of the things you're doing to try to steer that or mitigate that into the right direction? I think I want to make sure this is the one CGI panel that quotes the German philosopher Hegel. So Hegel said, But Hegel said, sometimes quantity is its own quality. And I think the scale of this change has become its own quality. It's going to be a qualitative shift. Whether we like it or not, how it's going to be qualitative shift, I think, is to some extent unknown. And as you've heard from the other panelists, I think to some extend up to us. What we need are new ideas that can be in conversation with this technology. And the best way to get new ideas isn't to get the smartest people who are the same around a table. It's to get New Voices around the table. One of the really powerful things that philanthropy did during the Second Industrial Revolution, the last industrial organization that was this disruptive, and that was a disruptive reorganization. It created the city as we understand it, it remade society, it completely changed people's relationships to labor, to each other, to their communities. One of the most important things philanthropy did was fund new kinds of labor organizing, funding the creation of the social sciences, funding religious movements like the social gospel that brought religious communities to bear on on these sorts of questions, creating the charity society movement that established what we know today as the non-profit sector. So I think our biggest, the biggest opportunity that we have through Humanity AI as a CGI community is to just get as many voices as possible around the table and to treat their views as legitimate and as worthy. And this conversation does not just belong to the technical experts building the system. Sometimes those experts want to convince us that because they know what the technology can do. They're the only ones who should get to say what it should do. But the reality is we all get to see what the tech is doing. Yeah, there's always a sense technology is destiny. And it feels that way. It feels like we're watching this happen. And we have no voice in it right now. So I think that's such an important point. But one of the things that is also unique about this moment is these companies are not just building the most powerful technologies in the world. They're getting fabulously wealthy doing it. And they're planning to give that money away in large amounts. So you have the OpenAI Foundation. They hold 26% of the stock of OpenAI worth today, a couple of hundred billion dollars at least. You have the co-founders of Anthropic who have pledged to give away, I think, 80% of their wealth or more. You've got Coefficient Giving, another major philanthropy, getting a lot of Silicon Valley and AI. So at the same time that your foundations, this coalition, are putting together your pooled fund, you face these other foundations. And I wonder, are you engaged with them? Do you feel like their perspectives are aligning with yours? What is that relationship or conversation like, Michelle? So I want everyone to kind of hold this idea that AI is not destiny, it is design. We are living in the design kind of story of a few select voices. And all of us fundamentally reject that those are the only voices that are worthy of this conversation that have value or get to decide what the future looks like for all of us they can be a part of the conversation which is why we welcome resources into the non-profit society and the public sector and NGOs but again access to resources and opportunity doesn't mean power and so what we're trying to do is not just say, hey, thank you, we will be consumers of your resources, but we want public society and public good to be at the center of the conversation, to say, we want to shift the conversation so we're thinking more about health care, and we're thinking about academics, and really thinking about our young people, and whether or not this technology should even exist in the way that it does now. That's a conversation about power, that's a conversion about shifting capability, and shifting the conversation. And so, so much of what we do is less about just where resources should be allocated and about who holds power right now and how do we shift that for the public good. Yeah, well said. A lot of this is about a sense of, you know, we would normally look to government, let's say, to regulate a new industry, and it feels like this is bigger than even that discussion alone, right? Jamie, you've got an audience of people here at CGI who are, many of them run workplaces. their CEOs, or they're in academia and they're looking at their university curricula and wondering how these things are going to change. We're talking macro policy, but maybe we can go micro for a second. What would you suggest people do or start to do or think about when they are teaching a course or managing a business or a nonprofit given these tools today? Every degree, certificate, certification, credential that's issued by a learning institution in this country, a university, a workforce training program, etc., should encompass two things. One is specific skills that allow you to learn something, you know, about chemistry or graphic design or whatever it is. And the other is that it should give you generalizable skills so that you can be a better participant in the human experience. And that means the critical thinking, the problem solving, the communicating, etc. Those are the human skills and traits that are going to be increasingly important in this technology-mediated world that we all live in. and that's what's going to really matter. So that includes both from the perspective of the learning providers, and it includes from the prospective of the employers who need to figure out how to continue to advance their own employees in their workforces. Yeah, I mean, this is one of the things people are really grappling with today. You see a lot, and we see this in journalism, a lot of benefit to the tools, but it forces you to ask those fundamental questions. Okay, well, but what makes a human journalist a journalist, and when and where would we use an AI tool, and when would we not, right? It forces you to ask those kinds of questions. Yeah, I don't want, by the way, everyone to do the same thing. So my philosophy of philanthropy is that, I use the word voices. I want to make sure that, not that we are all singing the same song, but that we're singing in the same key. We've actually got to make that we are aligned about our objectives. And in the case of humanity AI, it is about the development and deployment of AI that is going to serve the public good and make us better humans. So to me, that's the important aspect of this work, and how we need to prepare people for that work is going to require that level of collaboration. Sam, maybe we can just end with you on the point about accountability and legitimacy, right? Philanthropy has this challenge of why your voices, now you're trying to open this and use this as a platform to bring in the voices of the public, but how do we hold this group accountable? let's say in a few years we want to come back and look at the development of this technology and in society how do we know whether this has had a positive impact the kind of impact you want it to have that's that's a that's big question i mean again i i i think that michelle and jamie have said it well ultimately the question is whether the society is is expressing a sense of agency over this technology is expressing a senseof desire is whether we'd agree with them or not for where they want this technology to go ultimately that's what we're going to hold ourselves accountable to. And that's going to shape the legal structure that gives us the license to operate. We can operate really, really, independently, but we still operate within the law of the United States. And ultimately, I think if we're not helping people to realize their vision for a society in which they can enjoy prosperity and fulfillment, then that license to operate is going to be revoked. And there's no foundation or company that's so big that it can avoid that. That's a fantastic point. Join me in thanking this panel for a really insightful conversation, a timely conversation. And my thanks to all of you. I've learned a lot this morning, and I want to thank you for being a part of this session. It's great to be a media partner of the Clinton Global Initiative yet again, and I'll see you out there. Thank you. This session has now concluded. Thankyou for attending. Our next session, Who Leads Now? begins at noon.