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