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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
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
12th Extremely Large Databases Conference (XLDB)
Apr 03, 20199:00 AM - 5:00 PM
April
03
2019

12th Extremely Large Databases Conference (XLDB)

Apr 03, 20199:00 AM - 5:00 PM
2019 HAI Symposium
ConferenceMar 18, 20198:00 AM - 6:30 PM
March
18
2019

Artificial intelligence will be the most consequential technology of the 21st century—augmenting human capabilities, transforming industries and economies, and reshaping societies. Stanford HAI was established to advance AI technology and applications, and to provide leadership in understanding and influencing its impact on the world. It will conduct high-impact research; convene stakeholders from industry, government, academia, and civil society to address critical technical and societal challenges; and educate leaders across all sectors.

Three fundamental beliefs guide HAI: AI technology should be inspired by human intelligence; the development of AI must be guided by its human impact; and applications of AI should enhance and augment humans, not replace them. HAI will permeate and access the entire university, bringing Stanford’s vast array of disciplines and capabilities to bear in an interdisciplinary manner across the basic sciences, engineering, psychology, medicine, business, law, education, and the social sciences.

2019 HAI Symposium

Mar 18, 20198:00 AM - 6:30 PM

Artificial intelligence will be the most consequential technology of the 21st century—augmenting human capabilities, transforming industries and economies, and reshaping societies. Stanford HAI was established to advance AI technology and applications, and to provide leadership in understanding and influencing its impact on the world. It will conduct high-impact research; convene stakeholders from industry, government, academia, and civil society to address critical technical and societal challenges; and educate leaders across all sectors.

Three fundamental beliefs guide HAI: AI technology should be inspired by human intelligence; the development of AI must be guided by its human impact; and applications of AI should enhance and augment humans, not replace them. HAI will permeate and access the entire university, bringing Stanford’s vast array of disciplines and capabilities to bear in an interdisciplinary manner across the basic sciences, engineering, psychology, medicine, business, law, education, and the social sciences.

Regulation, Policy, Governance
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