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Upcoming Events

AllConferenceSeminars
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
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

Featured Videos

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

Previous Events at HAI

AllConferenceSeminarsWorkshops
Sheng Wang | Generative AI for Multimodal Biomedicine
SeminarNov 06, 202412:00 PM - 1:15 PM
November
06
2024

HAI Seminar with Sheng Wang

Sheng Wang | Generative AI for Multimodal Biomedicine

Nov 06, 202412:00 PM - 1:15 PM

HAI Seminar with Sheng Wang

Healthcare
Data Science & Democracy Day 2024
SeminarNov 05, 202410:30 AM - 11:55 AM
November
05
2024

Data Science & Democracy Day 2024

Nov 05, 202410:30 AM - 11:55 AM
HAI Seminar with Microsoft's Juan Lavista Ferres
SeminarOct 23, 2024
October
23
2024

HAI Seminar with Microsoft's Juan Lavista Ferres

Oct 23, 2024
Ethics, Equity, Inclusion
Trusting Digital Content in the Age of AI: How Might We Design Modern Information Ecosystems for Authenticity?
WorkshopOct 22, 20249:00 AM - 5:30 PM
October
22
2024

In this workshop we will ask: How might we design information systems for authenticity? We will bring together technologists, journalists, legal experts and archivists, for an interdisciplinary conversation about declining trust in digital content and how we might bolster trust in our information ecosystems.

Trusting Digital Content in the Age of AI: How Might We Design Modern Information Ecosystems for Authenticity?

Oct 22, 20249:00 AM - 5:30 PM

In this workshop we will ask: How might we design information systems for authenticity? We will bring together technologists, journalists, legal experts and archivists, for an interdisciplinary conversation about declining trust in digital content and how we might bolster trust in our information ecosystems.

Privacy, Safety, Security
Intersectional Biases in Generative Language Models and Their Psychosocial Impacts
SeminarOct 16, 202412:00 PM - 1:15 PM
October
16
2024

HAI Seminar with Faye-Marie Vassel & Evan Shieh

Intersectional Biases in Generative Language Models and Their Psychosocial Impacts

Oct 16, 202412:00 PM - 1:15 PM

HAI Seminar with Faye-Marie Vassel & Evan Shieh

Ethics, Equity, Inclusion
Center for Decoding the Universe Quarterly Forum
Oct 16, 202412:00 PM - 6:00 PM
October
16
2024

Center for Decoding the Universe Quarterly Forum

Oct 16, 202412:00 PM - 6:00 PM
2024 SC2 Student Conference
ConferenceOct 11, 20249:00 AM - 5:00 PM
October
11
2024

2024 SC2 Student Conference

Oct 11, 20249:00 AM - 5:00 PM
Google for Education | Unlocking Curiosity with Learn About
SeminarOct 09, 202412:00 PM - 1:15 PM
October
09
2024

HAI Seminar with Google Learning Team

Google for Education | Unlocking Curiosity with Learn About

Oct 09, 202412:00 PM - 1:15 PM

HAI Seminar with Google Learning Team

Education, Skills
Bridging the Farm: AI for Science at SLAC and Stanford
WorkshopOct 02, 2024
October
02
2024

This workshop will highlight the significant impact of AI applications in the Department of Energy (DOE) science by showcasing SLAC's research program, which includes national-scale science facilities such as particle accelerators, x-ray lasers, and the Rubin Observatory.

Bridging the Farm: AI for Science at SLAC and Stanford

Oct 02, 2024

This workshop will highlight the significant impact of AI applications in the Department of Energy (DOE) science by showcasing SLAC's research program, which includes national-scale science facilities such as particle accelerators, x-ray lasers, and the Rubin Observatory.

Sciences (Social, Health, Biological, Physical)
Offscript with Ge Wang and Vanessa Parli | Episode 5: What Do We (Really) Want from AI and the Humanities?
SeminarSep 25, 20241:00 PM - 2:15 PM
September
25
2024

Welcome to Stanford Human-Centered AI Vodcast, where we don't sweep anything under the rug; where we question everything, starting with ourselves.

Offscript with Ge Wang and Vanessa Parli | Episode 5: What Do We (Really) Want from AI and the Humanities?

Sep 25, 20241:00 PM - 2:15 PM

Welcome to Stanford Human-Centered AI Vodcast, where we don't sweep anything under the rug; where we question everything, starting with ourselves.

Ethics, Equity, Inclusion
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