Upcoming Events
Carina Hong | AI That Can Prove It: From Mathematical Discovery to Verified Software
A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.
Carina Hong | AI That Can Prove It: From Mathematical Discovery to Verified Software
A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.
Nicholas Branigan | Non-ergodicity and Simpson’s paradox in neural correlates
A Center for Neural Data Science Seminar Series
Nicholas Branigan | Non-ergodicity and Simpson’s paradox in neural correlates
A Center for Neural Data Science Seminar Series
Bay Area Tech Economics Seminar with Rehan Khan, Snowflake
The Bay Area Tech Economics Seminar is for graduate-trained economists and other quantitative social scientists from academia, policy, or the private sector who are interested in the tech economy and methods for analyzing it, and in making connections with others in this broadly defined space.
Bay Area Tech Economics Seminar with Rehan Khan, Snowflake
The Bay Area Tech Economics Seminar is for graduate-trained economists and other quantitative social scientists from academia, policy, or the private sector who are interested in the tech economy and methods for analyzing it, and in making connections with others in this broadly defined space.
Marlowe | AI + Data for Science with Anshul Kundaje
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.
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.
Daniel Rock | The Free Hypothesis: AI and Shifted Bottlenecks in Science
Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.
Daniel Rock | The Free Hypothesis: AI and Shifted Bottlenecks in Science
Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.
Confronting Our AI Future: Hope, Fear, and the Choices Ahead
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.
Confronting Our AI Future: Hope, Fear, and the Choices Ahead
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.
Marlowe | AI + Data for Science with Dan Yamins
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 Dan Yamins
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.
Marcos Santiago Rojas Pino & Thomas Caruso | Building an International AI Platform for Health Professions Education and the Learning Sciences
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
Marcos Santiago Rojas Pino & Thomas Caruso | Building an International AI Platform for Health Professions Education and the Learning Sciences
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
Marlowe | AI + Data for Science with Ruijiang Li
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 Ruijiang Li
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.
CNDS Seminar - Daniel Wurgaft
A Center for Neural Data Science Seminar Series
CNDS Seminar - Daniel Wurgaft
A Center for Neural Data Science Seminar Series
Marlowe | AI + Data for Science with Mohsen Bayati
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.
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.
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.
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.
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
Featured Videos
Hear from speakers and attendees at recent Stanford HAI events across research, policy, and education.
Previous Events at HAI
Erik Altman | Synthetic Data Sets: Use Cases for the Financial Industry
IBM Synthetic Data Sets (SDS) have been created for use cases in the financial industry.
Erik Altman | Synthetic Data Sets: Use Cases for the Financial Industry
IBM Synthetic Data Sets (SDS) have been created for use cases in the financial industry.
David Autor | Does Automation Replace Experts or Augment Expertise? The Answer is Yes
Does job task automation augment or diminish the value of labor in the tasks that remain? We argue that the answer depends on whether removing tasks raises or reduces the expertise required to perform the bundle of tasks that remain. Because the tasks that are expert in one occupation may serve primarily as supporting tasks in another, automating any given task may simultaneously replace experts in some occupations and augment expertise in others.
David Autor | Does Automation Replace Experts or Augment Expertise? The Answer is Yes
Does job task automation augment or diminish the value of labor in the tasks that remain? We argue that the answer depends on whether removing tasks raises or reduces the expertise required to perform the bundle of tasks that remain. Because the tasks that are expert in one occupation may serve primarily as supporting tasks in another, automating any given task may simultaneously replace experts in some occupations and augment expertise in others.
Presenting the 2025 AI Index Report
The AI Index, currently in its eighth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
Presenting the 2025 AI Index Report
The AI Index, currently in its eighth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
Eric Horvitz | At the Foothills of an AI Era in Science
Advances in artificial intelligence are rapidly transforming the scientific enterprise, offering powerful new methods for generating hypotheses, designing experiments, and interpreting data. I will discuss the promise of AI to accelerate scientific discovery, sharing examples that illustrate emerging patterns of innovation driven by the rapid scaling of cycles of generation and testing.
Eric Horvitz | At the Foothills of an AI Era in Science
Advances in artificial intelligence are rapidly transforming the scientific enterprise, offering powerful new methods for generating hypotheses, designing experiments, and interpreting data. I will discuss the promise of AI to accelerate scientific discovery, sharing examples that illustrate emerging patterns of innovation driven by the rapid scaling of cycles of generation and testing.
Alvin Graylin | The Realities of the U.S.-China AI Arms Race
The talk will discuss how we got into this escalating conflict of AI, the state of the world today and how we come to a positive resolution without accidentally destroying the planet.
Alvin Graylin | The Realities of the U.S.-China AI Arms Race
The talk will discuss how we got into this escalating conflict of AI, the state of the world today and how we come to a positive resolution without accidentally destroying the planet.
Vauhini Vara | The Impact of Al on Writing : What We Stand to Gain- and Lose- in Communication
In 2021, the novelist and journalist Vauhini Vara asked a predecessor of ChatGPT to write about her sister’s death, resulting in an essay that was both more moving and more disturbing than she could have imagined.
Vauhini Vara | The Impact of Al on Writing : What We Stand to Gain- and Lose- in Communication
In 2021, the novelist and journalist Vauhini Vara asked a predecessor of ChatGPT to write about her sister’s death, resulting in an essay that was both more moving and more disturbing than she could have imagined.
Lowry Pressly | Privacy and the Power of Unknowing
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
Lowry Pressly | Privacy and the Power of Unknowing
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
Daniela Rus | Physical AI
In today’s robot revolution, a record 3.1 million robots are now working in factories, doing everything from assembling computers to packing goods and monitoring air quality and performance.
Daniela Rus | Physical AI
In today’s robot revolution, a record 3.1 million robots are now working in factories, doing everything from assembling computers to packing goods and monitoring air quality and performance.
Sanmi Koyejo | Beyond Benchmarks: Building a Science of AI Measurement
The widepread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety.
Sanmi Koyejo | Beyond Benchmarks: Building a Science of AI Measurement
The widepread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety.