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Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.

Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
This event showcases diverse perspectives on human-centered AI with a focus on decolonial values, AI innovation that centers underrepresented languages in technology development, and the use of AI tools in tackling misinformation in global contexts.
This event is co-sponsored by Stanford HAI, Stanford Global Studies, the Center for African Studies (CAS), and the Center for South Asia (CSA).
9:00a.m. - 10:00a.m. PDT
Program Director, Data & Society
Associate Director of Research, Stanford Digital Civil Society Lab
Associate Professor, Tecnológico de Monterrey, Mexico
Program Manager for Diversity, Equity, and Inclusion
10:00a.m. - 11:00a.m. PDT
CEO, Te Hiku Media
Professor, Stanford Computer Science Department, Faculty Director, Stanford Open Virtual Assistant Lab
Principal Designer and Engineer, Matnsaz
HAI Graduate Fellow
11:00a.m. - 12:00p.m. PDT
Co-Founder, Tattle
Founder/CEO, Code for Africa
Assistant Professor, Stanford Computer Science Department
HAI-EIS Embedded Ethics Fellow