Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.
Sign Up For Latest News
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.

AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.

While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
John H. Cochrane (Stanford), “AI, Society, and Democracy: Just Relax”
Sarah Friar (OpenAI) and Laura Bisesto (OpenAI), “The Potential for AI to Restore Local Community Connectedness, the Bedrock of a Healthy Democracy”
Mona Hamdy (Anomaly and Harvard University), Johnnie Moore (JDA Worldwide and The Congress of Christian Leaders), and E. Glen Weyl (Plural Technology Collaboratory), “Techno-ideologies of the Twenty-first Century”
Reid Hoffman (Greylock) and Greg Beato, “Informational GPS”
Lawrence Lessig (Harvard), “Protected Democracy”
James Manyika (Google and Alphabet), “Getting AI Right: A 2050 Thought Experiment”
Jennifer Pahlka (Niskanen Center and the Federation of American Scientists), “AI Meets the Cascade of Rigidity”
Nathaniel Persily (Stanford), “Misunderstanding AI’s Democracy Problem”
Eric Schmidt (Former CEO and Chairman of Google), “Democracy 2.0”
Divya Siddarth (Collective Intelligence Project), Saffron Huang (Collective Intelligence Project), Audrey Tang (Collective Intelligence Project), “A Vision of Democratic AI”
Lily L. Tsai (MIT) and Alex Pentland (Stanford), “Rediscovering the Pleasures of Pluralism: The Potential of Digitally Mediated Civic Engagement”
Eugene Volokh (Stanford and UCLA), “Generative AI and Political Power”