AI has entered the public sphere, catalyzed by the recent wave of generative AI. But there is much more that constitutes AI research than just language models and image generation. In the Stanford HAI fall conference, we bring to the fore the broader spectrum of AI research: AI in the sciences, AI in creative disciplines, and AI in society.
1
Welcome & Introduction
Surya Ganguli Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University; Faculty Associate Director, Stanford HAI
Percy Liang Associate Professor of Computer Science, Stanford University; Director, Stanford Center for Research on Foundation Models; Faculty Affiliate, Stanford HAI
Opening Keynote Shakir Mohamed Senior Research Scientist, Google DeepMind
2
AI has entered the public sphere, catalyzed by the recent wave of generative AI. But there is much more that constitutes AI research than just language models and image generation. During the Stanford HAI fall conference, we bring to the fore the broader spectrum of AI research: AI in the sciences, AI in creative disciplines, and AI in society.
Session 1: Sciences
Speakers
Alex Rives | Evolutionary Scale Language Models Computer scientist focused on language models for biology
Pratyusha Sharma | Understanding Sperm Whale Communication PhD Candidate, EECS, MIT
Aditi Sheshadri Assistant Professor of Earth System Science and, by courtesy, Senior Fellow at the Woods Institute for the Environment, Stanford University
Moderator Surya Ganguli
3
AI has entered the public sphere, catalyzed by the recent wave of generative AI. But there is much more that constitutes AI research than just language models and image generation. In this keynote conversation,
Daphne Koller explains the potentials of generative AI in drug discovery.
Speaker: Daphne Koller CEO and Founder, insitro; Adjunct Professor of Computer Science, Stanford University
4
AI has entered the public sphere, catalyzed by the recent wave of generative AI. But there is much more that constitutes AI research than just language models and image generation. During the Stanford HAI fall conference, we bring to the fore the broader spectrum of AI research: AI in the sciences, AI in creative disciplines, and AI in society.
Session 2: Challenging, redefining, and expanding notions of human creativity.
Speakers
Chris Donahue | Music Generation with Precise Control and Composable Outputs Assistant Professor, Carnegie Mellon University; Part-time Research Scientist, Google Magenta
Angjoo Kanazawa Assistant Professor, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; Director, Kanazawa AI Research (KAIR);
Advisory Board:
Wonder Dynamics and Luma
AI Been Kim | Leveraging Alphazero to Improve our Understanding & Creativity in Chess Senior Staff Research Scientist, Google DeepMind Lisa Schut | Leveraging Alphazero to Improve our Understanding & Creativity in Chess Doctoral Candidate in Machine Learning, University of Oxford; Research Scientist Intern, Google DeepMind
Ge Wang | Music & AI: What Do We (Really) Want? Associate Professor Center for Computer Research in Music and Acoustics (CCRMA) Department of Music and, by courtesy, of Computer Science, Stanford University
Moderator Diyi Yang Assistant Professor, Computer Science Department, Stanford University
5
AI has entered the public sphere, catalyzed by the recent wave of generative AI. But there is much more that constitutes AI research than just language models and image generation. In this conference, we bring to the fore the broader spectrum of AI research: AI in the sciences, AI in creative disciplines, and AI in society.
Session 3: Society
Speakers
Erik Brynjolfsson | The Turing Trap Director, Stanford Digital Economy Lab; Jerry Yang and Akiko Yamazaki Professor and Senior Fellow, Stanford HAI;
Ralph Landau Senior Fellow, Stanford Institute for Economic Policy Research Jaron Lanier | Data Dignity Prime Unifying Scientist, Microsoft
Joon Park |Generative Agents: Interactive Simulacra of Human Behavior Ph.D. Candidate of Computer Science, Stanford University
Ashia Wilson Assistant Professor, Department of Electrical Engineering and Computer Science, MIT
Moderator Rishi Bommasani Society Lead, Stanford Center for Research on Foundation Models; Ph.D. Candidate of Computer Science, Stanford University
