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Upcoming Events

AllConferenceSeminars
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
New Horizons in Generative AI: Science, Creativity, and Society
ConferenceOct 24, 20239:00 AM - 5:00 PM
October
24
2023

New Horizons in Generative AI: Science, Creativity, and Society

Oct 24, 20239:00 AM - 5:00 PM
Sciences (Social, Health, Biological, Physical)
Ram Shankar Siva Kumar | A Few Useful Lessons about AI Red Teaming
SeminarOct 18, 202310:00 AM - 11:00 AM
October
18
2023

AI red teaming is exploding in popularity: At DEF CON this year, more than 2,500 hackers descended to red-team AI systems. Every organization investing in AI—from Microsoft to Google to Meta to NVIDIA—has AI red teams to actively secure their AI systems

Ram Shankar Siva Kumar | A Few Useful Lessons about AI Red Teaming

Oct 18, 202310:00 AM - 11:00 AM

AI red teaming is exploding in popularity: At DEF CON this year, more than 2,500 hackers descended to red-team AI systems. Every organization investing in AI—from Microsoft to Google to Meta to NVIDIA—has AI red teams to actively secure their AI systems

Nick Haber | Motivation, Representation, and Autonomous Agents
SeminarOct 11, 202310:00 AM - 11:00 AM
October
11
2023

The past decade’s series of dramatic AI successes has brought us closer to realizing the dream of the autonomous agent—an artificial system that can learn about its world, make decisions, and set and achieve goals, all with minimal human intervention.

Nick Haber | Motivation, Representation, and Autonomous Agents

Oct 11, 202310:00 AM - 11:00 AM

The past decade’s series of dramatic AI successes has brought us closer to realizing the dream of the autonomous agent—an artificial system that can learn about its world, make decisions, and set and achieve goals, all with minimal human intervention.

Machine Learning
HAI Orientation: Cultivating Collaborative Communities
Oct 10, 202310:00 AM - 12:00 PM
October
10
2023

Friends of the Stanford Institute for Human-Centered AI (HAI): We invite you to the second Stanford HAI Orientation to learn more about our work, meet faculty and peers, and find out more about the ways in which you can get involved. All Stanford students, faculty and staff are welcome to attend. 

HAI Orientation: Cultivating Collaborative Communities

Oct 10, 202310:00 AM - 12:00 PM

Friends of the Stanford Institute for Human-Centered AI (HAI): We invite you to the second Stanford HAI Orientation to learn more about our work, meet faculty and peers, and find out more about the ways in which you can get involved. All Stanford students, faculty and staff are welcome to attend. 

Simulcast: Geoffrey Hinton in Conversation with Fei-Fei Li
SeminarOct 04, 20231:00 PM - 3:00 PM
October
04
2023

In this Radical AI Founders Masterclass, Geoffrey Hinton and Fei-Fei Li will share their experiences building tech-first startups and scaleups, offering up their guidance, advice, and personal viewpoints.

Simulcast: Geoffrey Hinton in Conversation with Fei-Fei Li

Oct 04, 20231:00 PM - 3:00 PM

In this Radical AI Founders Masterclass, Geoffrey Hinton and Fei-Fei Li will share their experiences building tech-first startups and scaleups, offering up their guidance, advice, and personal viewpoints.

HAI Vodcast with Ge Wang and Vanessa Parli | Episode 1: What Do We (Really) Want from AI?
SeminarOct 04, 202310:00 AM - 11:00 AM
October
04
2023

HAI Vodcast with Ge Wang and Vanessa Parli | Episode 1: What Do We (Really) Want from AI?

Oct 04, 202310:00 AM - 11:00 AM
Arts, Humanities
Ethics, Equity, Inclusion
Workshop on Responsible and Open Foundation Models
WorkshopSep 21, 20238:00 AM - 2:30 PM
September
21
2023

In the last year, open foundation models have proliferated widely. Given the rapid adoption of these models, cultivating a responsible open source AI ecosystem is crucial and urgent. Our workshop presents an opportunity to learn from experts in different fields who have worked on responsible release strategies, risk mitigation, and policy interventions that can help.

Workshop on Responsible and Open Foundation Models

Sep 21, 20238:00 AM - 2:30 PM

In the last year, open foundation models have proliferated widely. Given the rapid adoption of these models, cultivating a responsible open source AI ecosystem is crucial and urgent. Our workshop presents an opportunity to learn from experts in different fields who have worked on responsible release strategies, risk mitigation, and policy interventions that can help.

2023 Hoffman-Yee Symposium
ConferenceSep 19, 20239:00 AM - 5:30 PM
September
19
2023

2023 Hoffman-Yee Symposium

Sep 19, 20239:00 AM - 5:30 PM
Decoding the EU Artificial Intelligence Act
SeminarJul 05, 202311:00 AM - 12:00 PM
July
05
2023

The European Parliament recently voted to pass its position on the EU AI Act, the world’s first comprehensive AI regulation.

Decoding the EU Artificial Intelligence Act

Jul 05, 202311:00 AM - 12:00 PM

The European Parliament recently voted to pass its position on the EU AI Act, the world’s first comprehensive AI regulation.

Advancing AI Audit - Project Showcase and Lessons Learned
LectureJun 27, 20239:00 AM - 11:15 AM
June
27
2023

How can we effectively design and develop practical tools to assess the presence of bias and potential discrimination in AI systems?

Advancing AI Audit - Project Showcase and Lessons Learned

Jun 27, 20239:00 AM - 11:15 AM

How can we effectively design and develop practical tools to assess the presence of bias and potential discrimination in AI systems?

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