AI2050 will support exceptional people working on key opportunities and hard problems that are critical to get right for society to benefit from AI.
“It’s 2050. AI has turned out to be hugely beneficial to society. What happened? What are the most important problems we solved and the opportunities and possibilities we realized to ensure this outcome?”
This is AI2050’s motivating question. The initiative aims to answer this question by making awards to support work conducted by researchers from across the globe and at various stages in their careers.
AI2050 will issue awards to support work conducted by researchers. These awards will primarily aim to enable and encourage bold and ambitious work, often multi-disciplinary, that is typically hard to fund but socially beneficial. Awards will be given for exceptional work tackling one or multiple items from a working list of hard problems.
Work supported by AI2050 will be open-source and published, in order that society can benefit from this important work. This includes research from the award recipient network, from our collaborations with leading groups, and from the initiative itself.
AI2050 Fellows will come from around the globe, and include qualified researchers and practitioners in Asia, Africa, Europe, and Latin America. Through this initiative, we will plan to support talented researchers at various stages of their careers, to help encourage the next generation of researchers to focus on the hard problems in AI. AI2050 Fellows, our expert group, the broader AI community, and other stakeholders will regularly convene to discuss and advance the work of the initiative.
AI2050 is co-chaired by Schmidt Futures co-founder Eric Schmidt and James Manyika, Senior Advisor at Schmidt Futures.
How to get involved
We will continue to share information about this initiative as we develop it. If you would like to learn more, please reach out to us at firstname.lastname@example.org
Working list of hard problems
Drawing on previous work in AI, and through numerous conversations with other experts, the initiative has developed an initial working list of the hard problems for AI2050 to take on. This list is aimed at realizing the opportunity for society from AI and addressing the risks and challenges that could result from it. This list will be updated often as society’s use of AI continues to evolve.
AI2050 Early Career Fellows
Schmidt Futures is excited to announce the following scholars as inaugural AI2050 Early Career Fellows:
AI2050 Senior Fellows
AI2050 Senior Fellows are leaders in their respective fields who collectively showcase the range of research that will be critical toward answering the AI2050 motivating question.
Professor at Stanford and Director of the Stanford Digital Economy Lab
Associate Professor of Computer Science and Director of the Center for Research on Foundation Models at Stanford University
Professor of Electrical Engineering and Computer Science and Director of the Computer Science and AI Laboratory at MIT
Professor of Computer Science and Director of the Center for Human-Compatible Artificial Intelligence at UC Berkeley
Director, Institute for Ethics in AI. Faculty of Philosophy, University of Oxford
Selected expert group
Blaise Aguera y Arcas
Blaise Agüera y Arcas is a VP and Fellow at Google Research, where he leads a ~500 person organization working on basic research and new products in AI, with an emphasis on privacy and humanism.
Yejin Choi is Professor at the Allen School of CSE at the University of Washington and Allen Institute for AI, investigating AI models for language, common sense, reasoning, social norms, and morality.
Diane Coyle is Bennett Professor of Public Policy at University of Cambridge, and an economist whose research focuses on digital markets, measurement of the digital economy, and economic wellbeing.
Michele Elam is William Robertson Coe Professor of Humanities in the English Department at Stanford University & Faculty Associate Director of the Institute for Human-Centered AI.
Kobi Gal, on the faculties of Ben-Gurion University and the University of Edinburgh, conducts research on human-computer collaboration and decision-making, and AI for education and citizen science.
Mira Murati is the SVP of Research & Product at OpenAI. Her work focuses on advancing the capabilities of AI systems, making them helpful, safer and aligning them with human intentions and values.
Laura Tyson, former Chair of White House Council of Economic Advisers, is Co-Chair of Governor Newsom's Council of Economic Advisors and Distinguished Professor of the Graduate School at UC Berkeley.
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Work we’re doing for science
We build networks of brilliant researchers at different career stages. We lead Virtual Institutes of Science to solve hard problems across locations and fields using modern tools.