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Upcoming Events

AllConferenceSeminars
Alexandr Lenk & Arvind Karunakaran | Industry Conversation with Instacart
SeminarSep 23, 202612:00 PM - 1:15 PM
September
23
2026

This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.

September
23
2026

Alexandr Lenk & Arvind Karunakaran | Industry Conversation with Instacart

Sep 23, 202612:00 PM - 1:15 PM

This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.

Industry, Innovation
Marlowe | AI + Data for Science with Stephen Baccus
SeminarSep 23, 2026
September
23
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.

September
23
2026

Marlowe | AI + Data for Science with Stephen Baccus

Sep 23, 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
World Development Report 2026: The Promise of Artificial Intelligence
Sep 24, 20269:00 AM - 4:15 PM
September
24
2026
September
24
2026

World Development Report 2026: The Promise of Artificial Intelligence

Sep 24, 20269:00 AM - 4:15 PM
International Affairs, International Security, International Development
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.

September
30
2026

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
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.

September
30
2026

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

Empirical Methods in the Age of AI

Oct 02, 2026
Computer Vision
Data Science
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.

October
02
2026

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
Tim de Silva | AI Financial Advice: Supply, Demand, and Life Cycle Implications
SeminarOct 07, 202612:00 PM - 1:15 PM
October
07
2026
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
Marlowe | AI + Data for Science with Olivier Gevaert
SeminarOct 07, 2026
October
07
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.

October
07
2026

Marlowe | AI + Data for Science with Olivier Gevaert

Oct 07, 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
Marlowe | AI + Data for Science with Curtis Langlotz
SeminarOct 14, 2026
October
14
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.

October
14
2026

Marlowe | AI + Data for Science with Curtis Langlotz

Oct 14, 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
Bay Area Tech Economics Seminar with Rehan Khan
SeminarOct 20, 20266:30 PM - 8:30 PM
October
20
2026
October
20
2026

Bay Area Tech Economics Seminar with Rehan Khan

Oct 20, 20266:30 PM - 8:30 PM
Economy, Markets
Data Science
Marlowe | AI + Data for Science with Anshul Kundaje
SeminarOct 21, 2026
October
21
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.

October
21
2026

Marlowe | AI + Data for Science with Anshul Kundaje

Oct 21, 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
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)
Marlowe | AI + Data for Science with Dan Yamins
SeminarOct 28, 2026
October
28
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.

October
28
2026

Marlowe | AI + Data for Science with Dan Yamins

Oct 28, 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
Marcos Santiago Rojas Pino & Thomas Caruso | Building an International AI Platform for Health Professions Education and the Learning Sciences
SeminarNov 04, 202612:00 PM - 1:15 PM
November
04
2026

Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.

November
04
2026

Marcos Santiago Rojas Pino & Thomas Caruso | Building an International AI Platform for Health Professions Education and the Learning Sciences

Nov 04, 202612:00 PM - 1:15 PM

Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.

Healthcare
Education, Skills
Marlowe | AI + Data for Science with Ruijiang Li
SeminarNov 04, 2026
November
04
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
04
2026

Marlowe | AI + Data for Science with Ruijiang Li

Nov 04, 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
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
Marlowe | AI + Data for Science with Mohsen Bayati
SeminarNov 11, 2026
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 Mohsen Bayati

Nov 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.

Data Science
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 October 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 October 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, 2026
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, 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
Marlowe | AI + Data for Science with Leonidas Guibas
SeminarDec 02, 2026
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, 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
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

Featured Videos

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

Previous Events at HAI

AllConferenceSeminarsWorkshops
HAI Monthly Community Building Reception: AI and Refugee Integration
Oct 08, 20194:00 PM - 5:00 PM
October
08
2019

Jens Hainmueller is a Professor in the Department of Political Science at Stanford University and holds a courtesy appointment in the Stanford Graduate School of Business. He is also the Faculty Co-Director of the Stanford Immigration Policy Lab that is focused on the design and evaluation of immigration and integration policies and programs.

HAI Monthly Community Building Reception: AI and Refugee Integration

Oct 08, 20194:00 PM - 5:00 PM

Jens Hainmueller is a Professor in the Department of Political Science at Stanford University and holds a courtesy appointment in the Stanford Graduate School of Business. He is also the Faculty Co-Director of the Stanford Immigration Policy Lab that is focused on the design and evaluation of immigration and integration policies and programs.

Government, Public Administration
Associates Meeting with Erik Brynjolfsson: The AI Awakening and the Coming Productivity Boom
Oct 01, 20194:30 PM - 5:30 PM
October
01
2019

Associates Meeting with Erik Brynjolfsson: The AI Awakening and the Coming Productivity Boom

Oct 01, 20194:30 PM - 5:30 PM
Economy, Markets
Frontier of AI-Assisted Care (FAC) Scientific Symposium
Sep 18, 2019
September
18
2019

Abstract Submission & Review

The review process will be coordinated by the editorial team of Nature Medicine. Reviewers will rate abstracts based on scientific merit and potential for impact on healthcare value at scale within 10 years, especially for medically fragile and costly population segments. Examples of fragile and costly patients are those receiving inpatient care, frail seniors seeking to maintain independence at home, or children with chronic illnesses or social health risks. Submitted abstracts should describe the topical background, methods, results and implications for improving the value of care, and indicate the category in which these should be considered among the six described above. Abstracts can be considered for oral presentations in a maximum of 2 categories. All authors whose abstracts exceed a threshold score to be determined after review may opt to have their abstract published, via an online appendix, to a report on conference proceedings. This will not be indexed in PubMed but will be available online. Publication of conference proceedings papers in this format do not generally preclude consideration of the full manuscript in other scientific journals, provided the submission provides a substantive extension of results, methodology, application, analysis, conclusions and/or implications over the conference proceedings paper. If figures or any other part of the paper is reproduced from the conference proceedings article, authors must be responsible for securing any necessary rights. The Nature Research policy can be found here: https://www.nature.com/authors/policies/preprints.html The 2nd and 3rd place winners in each category will have the opportunity to participate in the session topic Q&A as well as present a poster during the conference. Submission Details Deadline: April 30, 2019 The maximum abstract length is two pages (excluding references). Figures and images may be included in the abstract. All submissions should be in 11-point Times New Roman font with 1” margins on all sides. Because reviewers will be blinded to the author’s identities, do not include the names of authors, institutions, or any other identifying information in the initial submission. Research that has been previously published elsewhere or is currently in submission may be submitted. Please direct questions about abstract submission to Javier.Carmona@us.nature.com and about the conference to pac-conference@stanford.edu. To submit an abstract please email to javier.carmona@us.nature.com with the subject line “FAC Abstract Submission.” 

Registration Information

 Early (by 5/1)Regular (by 9/18)
Industry$700$950
Academics$350$500
Students$75$85
The registration fee includes:- Admission to all conference sessions  - Lunch and coffee breaks on Sep 18 - 19 NOTE: Your registration is not valid until you have successfully paid and received a printable confirmation page and an email confirmation. Cancellations must be sent in writing to meetingplanning@stanford.edu. If a cancellation is received before August 18, 2019, 50% of the registration fee will be refunded. No refunds will be extended after August 19, 2019 or for "no-show" attendees.

 

Frontier of AI-Assisted Care (FAC) Scientific Symposium

Sep 18, 2019

Abstract Submission & Review

The review process will be coordinated by the editorial team of Nature Medicine. Reviewers will rate abstracts based on scientific merit and potential for impact on healthcare value at scale within 10 years, especially for medically fragile and costly population segments. Examples of fragile and costly patients are those receiving inpatient care, frail seniors seeking to maintain independence at home, or children with chronic illnesses or social health risks. Submitted abstracts should describe the topical background, methods, results and implications for improving the value of care, and indicate the category in which these should be considered among the six described above. Abstracts can be considered for oral presentations in a maximum of 2 categories. All authors whose abstracts exceed a threshold score to be determined after review may opt to have their abstract published, via an online appendix, to a report on conference proceedings. This will not be indexed in PubMed but will be available online. Publication of conference proceedings papers in this format do not generally preclude consideration of the full manuscript in other scientific journals, provided the submission provides a substantive extension of results, methodology, application, analysis, conclusions and/or implications over the conference proceedings paper. If figures or any other part of the paper is reproduced from the conference proceedings article, authors must be responsible for securing any necessary rights. The Nature Research policy can be found here: https://www.nature.com/authors/policies/preprints.html The 2nd and 3rd place winners in each category will have the opportunity to participate in the session topic Q&A as well as present a poster during the conference. Submission Details Deadline: April 30, 2019 The maximum abstract length is two pages (excluding references). Figures and images may be included in the abstract. All submissions should be in 11-point Times New Roman font with 1” margins on all sides. Because reviewers will be blinded to the author’s identities, do not include the names of authors, institutions, or any other identifying information in the initial submission. Research that has been previously published elsewhere or is currently in submission may be submitted. Please direct questions about abstract submission to Javier.Carmona@us.nature.com and about the conference to pac-conference@stanford.edu. To submit an abstract please email to javier.carmona@us.nature.com with the subject line “FAC Abstract Submission.” 

Registration Information

 Early (by 5/1)Regular (by 9/18)
Industry$700$950
Academics$350$500
Students$75$85
The registration fee includes:- Admission to all conference sessions  - Lunch and coffee breaks on Sep 18 - 19 NOTE: Your registration is not valid until you have successfully paid and received a printable confirmation page and an email confirmation. Cancellations must be sent in writing to meetingplanning@stanford.edu. If a cancellation is received before August 18, 2019, 50% of the registration fee will be refunded. No refunds will be extended after August 19, 2019 or for "no-show" attendees.

 

Healthcare
Intersections: Does AI belong in the classroom?
Sep 04, 20191:00 PM - 4:00 PM
September
04
2019

Does AI belong in the classroom? Will tomorrow’s classroom look like today’s smart home? Is AI in the classroom a boon or a curse? How can educators and technologists work together to develop tools and methods that facilitate the learning experience? Can intelligent learning promote personalized intellectual exploration? This Intersections event puts faculty from the Stanford Graduate School of Education and the Stanford School of Engineering in conversation.

Intersections: Does AI belong in the classroom?

Sep 04, 20191:00 PM - 4:00 PM

Does AI belong in the classroom? Will tomorrow’s classroom look like today’s smart home? Is AI in the classroom a boon or a curse? How can educators and technologists work together to develop tools and methods that facilitate the learning experience? Can intelligent learning promote personalized intellectual exploration? This Intersections event puts faculty from the Stanford Graduate School of Education and the Stanford School of Engineering in conversation.

Education, Skills
HAI Monthly Community Building Reception: The Eye and AI
Jul 18, 20194:00 PM - 5:00 PM
July
18
2019

HAI Monthly Community Building Reception: The Eye and AI

Jul 18, 20194:00 PM - 5:00 PM
Environmental Intelligence: Applications of AI to climate change, sustainability and environmental health
WorkshopJul 12, 201912:00 AM - 4:00 PM
July
12
2019

Faculty Leaders: Kate Maher and Carissa Carter

 In mid-July, a working group focused on AI for the environment convened to outline future directions that would leverage AI to address pressing environmental challenges, ranging from biodiversity and conservation biology to water availability and sustainable communities.  The group focused on the concept of building a thrivable planet for all species – not just one that is merely habitable.  With the backdrop of the Stanford Educational Farm, we leveraged a human-centered design process to focus on how we might harness AI to uniquely address a range of stakeholder needs. Our objective was to develop an array of prototype projects that lead to insights about future directions for AI in the environmental and sustainability realms. Project prototypes included halting slavery in the seafood industry, intelligent tools for ensuring water and food security, and intelligent approaches for managing species migration. Based on these projects, we identified the following overarching themes that would be exciting to pursue through collaborative research: (1) Predicting, detecting and mitigating or incentivizing environmental transitions, (2) quantifying well-being and compatibility with one’s environment,  (3) environmental justice and human rights, (4) opening of new data streams and achieving interoperability of existing data streams.

Environmental Intelligence: Applications of AI to climate change, sustainability and environmental health

Jul 12, 201912:00 AM - 4:00 PM

Faculty Leaders: Kate Maher and Carissa Carter

 In mid-July, a working group focused on AI for the environment convened to outline future directions that would leverage AI to address pressing environmental challenges, ranging from biodiversity and conservation biology to water availability and sustainable communities.  The group focused on the concept of building a thrivable planet for all species – not just one that is merely habitable.  With the backdrop of the Stanford Educational Farm, we leveraged a human-centered design process to focus on how we might harness AI to uniquely address a range of stakeholder needs. Our objective was to develop an array of prototype projects that lead to insights about future directions for AI in the environmental and sustainability realms. Project prototypes included halting slavery in the seafood industry, intelligent tools for ensuring water and food security, and intelligent approaches for managing species migration. Based on these projects, we identified the following overarching themes that would be exciting to pursue through collaborative research: (1) Predicting, detecting and mitigating or incentivizing environmental transitions, (2) quantifying well-being and compatibility with one’s environment,  (3) environmental justice and human rights, (4) opening of new data streams and achieving interoperability of existing data streams.
Energy, Environment
HAI Monthly Community Building Reception: AI as Civic Architecture
Jun 13, 20194:00 PM - 5:00 PM
June
13
2019

HAI Monthly Community Building Reception: AI as Civic Architecture

Jun 13, 20194:00 PM - 5:00 PM
HAI Monthly Community Building Reception - AI & Education
May 20, 20194:15 PM - 5:30 PM
May
20
2019

The Stanford Institute for Human-Centered Artificial Intelligence will host the first of a monthly series of talks and community building receptions. Each month we will kick off with a short faculty research talk on a different topic related to human-centered AI, and then host Stanford faculty, students, and staff for an informal reception to build the HAI community across campus.

This month's reception will feature a discussion of AI and Education with Dan Schwartz, Dean of the Graduate School of Education and the Nomellini-Olivier Professor of Educational Technology, and Chris Piech, Assistant Professor of Computer Science Education.

HAI Monthly Community Building Reception - AI & Education

May 20, 20194:15 PM - 5:30 PM

The Stanford Institute for Human-Centered Artificial Intelligence will host the first of a monthly series of talks and community building receptions. Each month we will kick off with a short faculty research talk on a different topic related to human-centered AI, and then host Stanford faculty, students, and staff for an informal reception to build the HAI community across campus.

This month's reception will feature a discussion of AI and Education with Dan Schwartz, Dean of the Graduate School of Education and the Nomellini-Olivier Professor of Educational Technology, and Chris Piech, Assistant Professor of Computer Science Education.

Education, Skills
AI and Human Rights Symposium
May 04, 201912:00 AM - 4:00 PM
May
04
2019

AI and Human Rights Symposium

May 04, 201912:00 AM - 4:00 PM
Law Enforcement and Justice
AI & Accessibility: Ethical Considerations
SeminarApr 30, 20192:00 PM - 3:00 PM
April
30
2019

According to the World Health Organization, more than one billion people worldwide have disabilities. The field of disability studies defines disability through a social lens, which considers people disabled to the extent that society creates accessibility barriers.

AI & Accessibility: Ethical Considerations

Apr 30, 20192:00 PM - 3:00 PM

According to the World Health Organization, more than one billion people worldwide have disabilities. The field of disability studies defines disability through a social lens, which considers people disabled to the extent that society creates accessibility barriers.

Ethics, Equity, Inclusion
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