The 2024 AI+Education Summit, hosted by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and the Stanford Accelerator for Learning on Feb. 1, addressed how AI can transform teaching and learning in an ethical, equitable, and safe manner; what metrics of assessment, fair evaluation, and overall regulatory framework are required to deliver these qualities; and how to build AI for education and with educators. In this panel discussion, Stanford scholars discussed their cutting-edge research in AI and education.

 

Welcome Remarks Speakers

 

James Landay: Anand Rajaraman and Venky Harinarayan Professor, School of Engineering, Professor of Computer Science, Stanford University; Vice-Director and Faculty Director of Research, Stanford HAI Daniel Schwartz: I. James Quillen Dean, Graduate School of Education;

Nomellini & Olivier Professor of Education Technology; Halper Family Faculty Director of the Stanford Accelerator for Learning; Faculty Affiliate, Stanford Institute for Human-Centered AI Cutting Edge Work:

 

Examples on AI and Education

Speakers Emma Brunskill: Associate Professor of Computer Science and, by courtesy, of Education, Stanford University Dora Demszky: Associate Professor of Education and, by courtesy, of Computer Science, Stanford University

Judith Fan: Assistant Professor of Psychology, Stanford University

Ge Wang: Associate Professor, Center for Computer Research in Music and Acoustics (CCRMA); Department of Music and, by courtesy, of Computer Science, Stanford University

 

Moderator: Isabelle Hau, Executive Director, Stanford Accelerator for Learning