Upcoming Events
Center for Decoding the Universe Fall Forum
Please note that this event is open to Stanford affiliates only.
Center for Decoding the Universe Fall Forum
Please note that this event is open to Stanford affiliates only.
Daniel Wurgaft | A Resource Rational Analysis of Representations: Geometry, Inference, Capacity
A Center for Neural Data Science Seminar Series
Daniel Wurgaft | A Resource Rational Analysis of Representations: Geometry, Inference, Capacity
A Center for Neural Data Science Seminar Series
HAI & AI Governance Lab | A Conversation with Jacob Coxon & Rob Reich
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.
HAI & AI Governance Lab | A Conversation with Jacob Coxon & Rob Reich
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.
Marlowe | AI + Data for Science with Alex Pentland
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 Alex Pentland
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.
Khaoula Chehbouni | Best Practices for the Use of LLMs as Judges
An AI Measurement Science (AIMS) Seminar Series
Khaoula Chehbouni | Best Practices for the Use of LLMs as Judges
An AI Measurement Science (AIMS) Seminar Series
Special Seminar and Fireside Chat: Understanding Work Using AI
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.
Special Seminar and Fireside Chat: Understanding Work Using AI
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.
Christopher Ong | Research Acceleration: The View Inside OpenAI
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.
Christopher Ong | Research Acceleration: The View Inside OpenAI
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.
AI100 | AI Goes Mainstream: The Scaling Era and the Rise of Generative AI
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.
AI100 | AI Goes Mainstream: The Scaling Era and the Rise of Generative AI
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.
Marlowe | AI + Data for Science with Andreas Tolias
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 Andreas Tolias
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 Leonidas Guibas
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 Leonidas Guibas
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.
Angèle Christin & Hannah Zeavin | Gurus, Hucksters, Entertainers: How Influencers Reshaped Social Media
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
Angèle Christin & Hannah Zeavin | Gurus, Hucksters, Entertainers: How Influencers Reshaped Social Media
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
YoungJu Jo | Data-driven Discovery and Control of Neural Computations
A Center for Neural Data Science Seminar Series
YoungJu Jo | Data-driven Discovery and Control of Neural Computations
A Center for Neural Data Science Seminar Series
2027 Conference on Physics and AI (PhyStat 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.
2027 Conference on Physics and AI (PhyStat 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.
Featured Videos
Hear from speakers and attendees at recent Stanford HAI events across research, policy, and education.
Previous Events at HAI
HAI Weekly Seminar with Jeannette Bohg
Scaffolding and Imitation Learning - Human Learning Principles Transferred to Robots
HAI Weekly Seminar with Jeannette Bohg
Scaffolding and Imitation Learning - Human Learning Principles Transferred to Robots
HAI Weekly Seminar with Elizabeth Adams
Beyond the buildings, lakes, homes, and businesses in Minneapolis, are people. People who are impacted by technology used by government. Civic Tech enhances the relationship between people, their community and government by giving a voice in public decision-making processes.
HAI Weekly Seminar with Elizabeth Adams
Beyond the buildings, lakes, homes, and businesses in Minneapolis, are people. People who are impacted by technology used by government. Civic Tech enhances the relationship between people, their community and government by giving a voice in public decision-making processes.
HAI Weekly Seminar with Percy Liang
Natural language promises to be the ultimate interface for interacting with computers, allowing users to effortlessly tap into the wealth of digital information and extract insights from it.
HAI Weekly Seminar with Percy Liang
Natural language promises to be the ultimate interface for interacting with computers, allowing users to effortlessly tap into the wealth of digital information and extract insights from it.
HAI Weekly Seminar with Kate Vredenburgh - Against Rationale Explanations
HAI Weekly Seminar with Ron Chrisley - Against Ethical Robots
HAI Weekly Seminar with Ron Chrisley - Against Ethical Robots
HAI Weekly Seminar with Emanuel Moss and Jacob Metcalf - Owning Ethics: Organizational Responsibility and the Institutionalization of Ethics in Silicon Valley
HAI Weekly Seminar with Andrew Schwartz - Modeling the People Behind the Language: Human-Centered Natural Language Processing
Natural Language Processing (NLP) conventionally focuses on modeling words, phrases, or documents. However, natural language is generated by people and with the growth of social media and automated assistants, NLP is increasingly tackling human problems that are social, psychological, or medical in nature.
HAI Weekly Seminar with Andrew Schwartz - Modeling the People Behind the Language: Human-Centered Natural Language Processing
Natural Language Processing (NLP) conventionally focuses on modeling words, phrases, or documents. However, natural language is generated by people and with the growth of social media and automated assistants, NLP is increasingly tackling human problems that are social, psychological, or medical in nature.