Upcoming Events
Center for Decoding the Universe Fall Forum
Please note that this event is open to Stanford affiliates only.
Center for Decoding the Universe Fall Forum
Please note that this event is open to Stanford affiliates only.
Daniel Wurgaft | A Resource Rational Analysis of Representations: Geometry, Inference, Capacity
A Center for Neural Data Science Seminar Series
Daniel Wurgaft | A Resource Rational Analysis of Representations: Geometry, Inference, Capacity
A Center for Neural Data Science Seminar Series
HAI & AI Governance Lab | A Conversation with Jacob Coxon & Rob Reich
This in-person event is open to current Stanford faculty, students, and staff. ID will be required at check in. Other guests are invited to join the webinar.
HAI & AI Governance Lab | A Conversation with Jacob Coxon & Rob Reich
This in-person event is open to current Stanford faculty, students, and staff. ID will be required at check in. Other guests are invited to join the webinar.
Marlowe | AI + Data for Science with Alex Pentland
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.
Marlowe | AI + Data for Science with Alex Pentland
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.
Khaoula Chehbouni | Best Practices for the Use of LLMs as Judges
An AI Measurement Science (AIMS) Seminar Series
Khaoula Chehbouni | Best Practices for the Use of LLMs as Judges
An AI Measurement Science (AIMS) Seminar Series
Special Seminar and Fireside Chat: Understanding Work Using AI
Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.
Special Seminar and Fireside Chat: Understanding Work Using AI
Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.
Christopher Ong | Research Acceleration: The View Inside OpenAI
In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.
Christopher Ong | Research Acceleration: The View Inside OpenAI
In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.
AI100 | AI Goes Mainstream: The Scaling Era and the Rise of Generative AI
This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.
AI100 | AI Goes Mainstream: The Scaling Era and the Rise of Generative AI
This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.
Marlowe | AI + Data for Science with Andreas Tolias
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.
Marlowe | AI + Data for Science with Andreas Tolias
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.
Marlowe | AI + Data for Science with Leonidas Guibas
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.
Marlowe | AI + Data for Science with Leonidas Guibas
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.
Angèle Christin & Hannah Zeavin | Gurus, Hucksters, Entertainers: How Influencers Reshaped Social Media
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
Angèle Christin & Hannah Zeavin | Gurus, Hucksters, Entertainers: How Influencers Reshaped Social Media
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
YoungJu Jo | Data-driven Discovery and Control of Neural Computations
A Center for Neural Data Science Seminar Series
YoungJu Jo | Data-driven Discovery and Control of Neural Computations
A Center for Neural Data Science Seminar Series
2027 Conference on Physics and AI (PhyStat 2027)
The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced statistical and computational methods.
2027 Conference on Physics and AI (PhyStat 2027)
The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced statistical and computational methods.
Featured Videos
Hear from speakers and attendees at recent Stanford HAI events across research, policy, and education.
Previous Events at HAI
Lerone A. Martin | The Talking Machine: The Phonograph and the Making of Modern American Religion
David G. Robinson | Voices in the Code: A Story About People, Their Values, and the Algorithm They Made
Policymakers and the public often find algorithms to be complex, opaque and intimidating—and it can be tempting to pretend that hard moral questions have simple technological answers. But that approach leaves technical experts holding the moral microphone, and it stops people who lack technical expertise from making their voices heard.
David G. Robinson | Voices in the Code: A Story About People, Their Values, and the Algorithm They Made
Policymakers and the public often find algorithms to be complex, opaque and intimidating—and it can be tempting to pretend that hard moral questions have simple technological answers. But that approach leaves technical experts holding the moral microphone, and it stops people who lack technical expertise from making their voices heard.
Krish Seetah | AI, Archaeology, and Archives: How Data Science is Helping to Reveal Past Epidemics
Michael Littman: Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
The One Hundred Year Study on Artificial Intelligence (AI100) is a long-term investigation of the field of AI and its influences on people, their communities, and society.
Michael Littman: Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
The One Hundred Year Study on Artificial Intelligence (AI100) is a long-term investigation of the field of AI and its influences on people, their communities, and society.
Jef Caers | Building Intelligent Agents to Reach Net-Zero 2050
Reaching net-zero by cutting green house gas emission by 2050 is arguably one of humanities greatest challenge.
Jef Caers | Building Intelligent Agents to Reach Net-Zero 2050
Reaching net-zero by cutting green house gas emission by 2050 is arguably one of humanities greatest challenge.