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Upcoming Events

AllConferenceSeminars
Confronting Our AI Future: Hope, Fear, and the Choices Ahead
ConferenceOct 28, 20269:00 AM - 6:45 PM
October
28
2026

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

October
28
2026

Confronting Our AI Future: Hope, Fear, and the Choices Ahead

Oct 28, 20269:00 AM - 6:45 PM

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

Workforce, Labor
Sciences (Social, Health, Biological, Physical)
2026 SC2 Student Conference
ConferenceNov 06, 20268:30 AM - 5:00 PM
November
06
2026
November
06
2026

2026 SC2 Student Conference

Nov 06, 20268:30 AM - 5:00 PM
Data Science

Featured Videos

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

Previous Events at HAI

AllConferenceSeminarsWorkshops
Marlowe | AI + Data for Science with Olivier Gevaert
SeminarOct 07, 2026
October
07
2026

For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Marlowe | AI + Data for Science with Olivier Gevaert

Oct 07, 2026

For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Data Science
Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications
SeminarOct 07, 202612:00 PM - 1:15 PM
October
07
2026

Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications

Oct 07, 202612:00 PM - 1:15 PM
Finance, Business
NVIDIA & Marlowe | GPU Computing Foundations - Amanda Butler
Oct 07, 2026
October
07
2026

This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.

Location: CoDa W401

NVIDIA & Marlowe | GPU Computing Foundations - Amanda Butler

Oct 07, 2026

This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.

Location: CoDa W401

Andrew Shen | Unlocking LLM Creativity in Science through Analogical Reasoning
LectureOct 05, 20264:00 PM - 5:30 PM
October
05
2026

A Center for Neural Data Science Seminar Series

Andrew Shen | Unlocking LLM Creativity in Science through Analogical Reasoning

Oct 05, 20264:00 PM - 5:30 PM

A Center for Neural Data Science Seminar Series

Anastasios Angelopoulos | Measuring AI in the Real World
SeminarOct 02, 20261:00 PM - 2:15 PM
October
02
2026

This seminar co-hosted with the AI Measurement Science Center (AIMS) invites speakers to discuss academic work in AI evaluation and measurement science.

Anastasios Angelopoulos | Measuring AI in the Real World

Oct 02, 20261:00 PM - 2:15 PM

This seminar co-hosted with the AI Measurement Science Center (AIMS) invites speakers to discuss academic work in AI evaluation and measurement science.

Data Science
Empirical Methods in the Age of AI
ConferenceOct 02, 2026
October
02
2026

Empirical Methods in the Age of AI

Oct 02, 2026
Computer Vision
Data Science
Marlowe | AI + Data for Science with Gordon Wetzstein
SeminarSep 30, 2026
September
30
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.

Marlowe | AI + Data for Science with Gordon Wetzstein

Sep 30, 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.

Data Science
Daniel Zhang, Caroline Meinhardt, Jiajun Wu, and Russell Wald | The World Model and Spatial Intelligence Era: Governing AI Beyond Language
SeminarSep 30, 20263:00 PM - 4:15 PM
September
30
2026

As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.

Daniel Zhang, Caroline Meinhardt, Jiajun Wu, and Russell Wald | The World Model and Spatial Intelligence Era: Governing AI Beyond Language

Sep 30, 20263:00 PM - 4:15 PM

As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.

Regulation, Policy, Governance
For the Stanford Community: 2026 HAI Orientation
MixerSep 30, 20261:00 PM - 2:30 PM
September
30
2026

Open to Stanford community members! We are hosting an interactive orientation featuring faculty insights, networking, and opportunities to explore AI and data science research, programs, and resources across Stanford.

For the Stanford Community: 2026 HAI Orientation

Sep 30, 20261:00 PM - 2:30 PM

Open to Stanford community members! We are hosting an interactive orientation featuring faculty insights, networking, and opportunities to explore AI and data science research, programs, and resources across Stanford.

Meenakshi Khosla- Understanding Vision Through Neural Supervision and Generative Probes
LectureSep 28, 20264:00 PM - 5:30 PM
September
28
2026

A Center for Neural Data Science Seminar Series

Meenakshi Khosla- Understanding Vision Through Neural Supervision and Generative Probes

Sep 28, 20264:00 PM - 5:30 PM

A Center for Neural Data Science Seminar Series

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