Fei-Fei Li's Briefing to the United Nations Security Council
In this address, presented to the United Nations Security Council meeting on "Maintenance of International Peace and Security and Artificial Intelligence," Fei-Fei Li stresses the importance of public sector leadership, global collaboration, and evidence-based policymaking to unlock AI’s potential and ensure its responsible development.
Related Publications
Beyond DeepSeek: China's Diverse Open-Weight AI Ecosystem and Its Policy Implications
Almost one year after the “DeepSeek moment,” this brief analyzes China’s diverse open-model ecosystem and examines the policy implications of their widespread global diffusion.
Almost one year after the “DeepSeek moment,” this brief analyzes China’s diverse open-model ecosystem and examines the policy implications of their widespread global diffusion.
Moving Beyond the Term "Global South" in AI Ethics and Policy
This brief examines the limitations of the term "Global South" in AI ethics and policy, and highlights the importance of grounding such work in specific regions and power structures.
This brief examines the limitations of the term "Global South" in AI ethics and policy, and highlights the importance of grounding such work in specific regions and power structures.
In this address, presented to the United Nations Security Council meeting on "Maintenance of International Peace and Security," Yejin Choi calls on the global scientific and policy communities to expand the AI frontier for all by pursuing intelligence that is not only powerful, but also accessible, robust, and efficient. She stresses the need to rethink our dependence on massive-scale data and computing resources from the outset, and design methods that do more with less — by building AI that is smaller and serves all communities.
In this address, presented to the United Nations Security Council meeting on "Maintenance of International Peace and Security," Yejin Choi calls on the global scientific and policy communities to expand the AI frontier for all by pursuing intelligence that is not only powerful, but also accessible, robust, and efficient. She stresses the need to rethink our dependence on massive-scale data and computing resources from the outset, and design methods that do more with less — by building AI that is smaller and serves all communities.
This brief presents an analysis of Chinese AI startup DeepSeek’s talent base and calls for U.S. policymakers to reinvest in competing to attract and retain global AI talent.
This brief presents an analysis of Chinese AI startup DeepSeek’s talent base and calls for U.S. policymakers to reinvest in competing to attract and retain global AI talent.