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Upcoming Events | Stanford HAI

Upcoming Events

AllConferenceSeminars
Center for Decoding the Universe Fall Forum
Nov 09, 202612:00 PM - 6:00 PM
November
09
2026

Please note that this event is open to Stanford affiliates only.

November
09
2026

Center for Decoding the Universe Fall Forum

Nov 09, 202612:00 PM - 6:00 PM

Please note that this event is open to Stanford affiliates only.

Data Science
Daniel Wurgaft | A Resource Rational Analysis of Representations: Geometry, Inference, Capacity
SeminarNov 09, 20264:00 PM - 5:30 PM
November
09
2026

A Center for Neural Data Science Seminar Series

November
09
2026

Daniel Wurgaft | A Resource Rational Analysis of Representations: Geometry, Inference, Capacity

Nov 09, 20264:00 PM - 5:30 PM

A Center for Neural Data Science Seminar Series

Data Science
HAI & AI Governance Lab | A Conversation with Jacob Coxon & Rob Reich
Nov 09, 20264:30 PM - 5:30 PM
November
09
2026

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.

November
09
2026

HAI & AI Governance Lab | A Conversation with Jacob Coxon & Rob Reich

Nov 09, 20264:30 PM - 5:30 PM

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.

Regulation, Policy, Governance
Marlowe | AI + Data for Science with Alex Pentland
SeminarNov 11, 20264:30 PM - 5:30 PM
November
11
2026

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.

November
11
2026

Marlowe | AI + Data for Science with Alex Pentland

Nov 11, 20264:30 PM - 5:30 PM

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.

Data Science
Khaoula Chehbouni | Best Practices for the Use of LLMs as Judges
SeminarNov 13, 20261:00 PM - 2:15 PM
November
13
2026

An AI Measurement Science (AIMS) Seminar Series

November
13
2026

Khaoula Chehbouni | Best Practices for the Use of LLMs as Judges

Nov 13, 20261:00 PM - 2:15 PM

An AI Measurement Science (AIMS) Seminar Series

Data Science
Special Seminar and Fireside Chat: Understanding Work Using AI
Nov 13, 20262:00 PM - 4:00 PM
November
13
2026

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.

November
13
2026

Special Seminar and Fireside Chat: Understanding Work Using AI

Nov 13, 20262:00 PM - 4:00 PM

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.

Machine Learning
Industry, Innovation
Government, Public Administration
Regulation, Policy, Governance
Christopher Ong | Research Acceleration: The View Inside OpenAI
Nov 16, 202612:00 PM - 1:00 PM
November
16
2026

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.

November
16
2026

Christopher Ong | Research Acceleration: The View Inside OpenAI

Nov 16, 202612:00 PM - 1:00 PM

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.

Machine Learning
Industry, Innovation
AI100 | AI Goes Mainstream: The Scaling Era and the Rise of Generative AI
SeminarNov 18, 202612:00 PM - 1:15 PM
November
18
2026

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.

November
18
2026

AI100 | AI Goes Mainstream: The Scaling Era and the Rise of Generative AI

Nov 18, 202612:00 PM - 1:15 PM

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.

Foundation Models
Industry, Innovation
Democracy
Marlowe | AI + Data for Science with Andreas Tolias
SeminarNov 18, 20264:30 PM - 5:30 PM
November
18
2026

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.

November
18
2026

Marlowe | AI + Data for Science with Andreas Tolias

Nov 18, 20264:30 PM - 5:30 PM

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.

Data Science
Marlowe | AI + Data for Science with Leonidas Guibas
SeminarDec 02, 20264:30 PM - 5:30 PM
December
02
2026

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.

December
02
2026

Marlowe | AI + Data for Science with Leonidas Guibas

Dec 02, 20264:30 PM - 5:30 PM

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.

Data Science
Angèle Christin & Hannah Zeavin | Gurus, Hucksters, Entertainers: How Influencers Reshaped Social Media
SeminarDec 09, 202612:00 PM - 1:15 PM
December
09
2026

Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies. 

December
09
2026

Angèle Christin & Hannah Zeavin | Gurus, Hucksters, Entertainers: How Influencers Reshaped Social Media

Dec 09, 202612:00 PM - 1:15 PM

Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies. 

Communications, Media
YoungJu Jo | Data-driven Discovery and Control of Neural Computations
SeminarDec 14, 20264:00 PM - 5:30 PM
December
14
2026

A Center for Neural Data Science Seminar Series

December
14
2026

YoungJu Jo | Data-driven Discovery and Control of Neural Computations

Dec 14, 20264:00 PM - 5:30 PM

A Center for Neural Data Science Seminar Series

Data Science
2027 Conference on Physics and AI (PhyStat 2027)
ConferenceMay 24, 2027
May
24
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. 

May
24
2027

2027 Conference on Physics and AI (PhyStat 2027)

May 24, 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. 

Data Science

Featured Videos

Hear from speakers and attendees at recent Stanford HAI events across research, policy, and education.

Previous Events at HAI

AllConferenceSeminarsWorkshops
HAI Weekly Seminar with Amy Zegart
SeminarMar 02, 202210:00 AM - 11:00 AM
March
02
2022

HAI Weekly Seminar with Amy Zegart

Mar 02, 202210:00 AM - 11:00 AM
HAI Weekly Seminar with Jeremy Bailenson
SeminarFeb 23, 202210:00 AM - 11:00 AM
February
23
2022

HAI Weekly Seminar with Jeremy Bailenson

Feb 23, 202210:00 AM - 11:00 AM
Lyle Muller: Traveling waves in cortex: spatiotemporal dynamics shape perceptual and cognitive processes
SeminarFeb 22, 202210:00 AM - 11:00 AM
February
22
2022

Lyle Muller: Traveling waves in cortex: spatiotemporal dynamics shape perceptual and cognitive processes

Feb 22, 202210:00 AM - 11:00 AM
HAI Weekly Seminar with Mohsen Bayati
SeminarFeb 16, 202210:00 AM - 11:00 AM
February
16
2022

HAI Weekly Seminar with Mohsen Bayati

Feb 16, 202210:00 AM - 11:00 AM
HAI Weekly Seminar with Ge Wang
SeminarFeb 09, 202210:00 AM - 11:00 AM
February
09
2022

HAI Weekly Seminar with Ge Wang

Feb 09, 202210:00 AM - 11:00 AM
Robert Seamans: Robots at Work in China
SeminarFeb 07, 202212:00 PM - 1:00 PM
February
07
2022

Robert Seamans of New York University’s Stern School of Business joined Stanford Digital Economy Lab Director Erik Brynjolfsson for “Robots at Work in China,” our first Seminar Series event of 2022.

Robert Seamans: Robots at Work in China

Feb 07, 202212:00 PM - 1:00 PM

Robert Seamans of New York University’s Stern School of Business joined Stanford Digital Economy Lab Director Erik Brynjolfsson for “Robots at Work in China,” our first Seminar Series event of 2022.

HAI Weekly Seminar with Juan Banda
SeminarFeb 02, 202210:00 AM - 11:00 AM
February
02
2022

Are Phenotyping Algorithms Fair for Underrepresented Minorities within Older Adults?

HAI Weekly Seminar with Juan Banda

Feb 02, 202210:00 AM - 11:00 AM

Are Phenotyping Algorithms Fair for Underrepresented Minorities within Older Adults?

HAI Weekly Seminar with Sabelosethu Mhlambi
SeminarJan 26, 202210:00 AM - 11:00 AM
January
26
2022

HAI Weekly Seminar with Sabelosethu Mhlambi

Jan 26, 202210:00 AM - 11:00 AM
HAI Weekly Seminar with Jeffrey Ding
SeminarJan 19, 202210:00 AM - 11:00 AM
January
19
2022

HAI Weekly Seminar with Jeffrey Ding

Jan 19, 202210:00 AM - 11:00 AM
Eva Dyer: Towards robust representations of neural activity: Why do we need them and how do we build them
SeminarJan 18, 202210:00 AM - 11:00 AM
January
18
2022

Eva Dyer: Towards robust representations of neural activity: Why do we need them and how do we build them

Jan 18, 202210:00 AM - 11:00 AM
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