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
Caroline Meinhardt, Thomas Mullaney, Juan N. Pava, and Diyi Yang | How Can AI Support Language Digitization and Digital Inclusion?
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
Caroline Meinhardt, Thomas Mullaney, Juan N. Pava, and Diyi Yang | How Can AI Support Language Digitization and Digital Inclusion?
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
Ashesh Rambachan | From Next-Token Prediction to Automatic Induction of Automata
Sequence data is ubiquitous in economics — job histories in labor economics, diagnosis and treatment sequences in health economics, strategic interactions in game theory. Generative sequence models can learn to predict these sequences well, but their complexity makes it hard to extract interpretable economic insights from their predictions.
Ashesh Rambachan | From Next-Token Prediction to Automatic Induction of Automata
Sequence data is ubiquitous in economics — job histories in labor economics, diagnosis and treatment sequences in health economics, strategic interactions in game theory. Generative sequence models can learn to predict these sequences well, but their complexity makes it hard to extract interpretable economic insights from their predictions.
Suproteem Sarkar | AI Agents and Higher-Order Work
How do AI agents influence knowledge work? This paper finds that agents shift worker effort from implementation to supervision, which especially benefits verifiable work and expert workers. I use data from the coding platform Cursor to study agents in software production.
Suproteem Sarkar | AI Agents and Higher-Order Work
How do AI agents influence knowledge work? This paper finds that agents shift worker effort from implementation to supervision, which especially benefits verifiable work and expert workers. I use data from the coding platform Cursor to study agents in software production.
Center for Neural Data Science Seminar with Tim Currier
Bay Area Tech Economics Seminar with Zoë Hitzig, Harvard Society of Fellows
Bay Area Tech Economics Seminar with Zoë Hitzig, Harvard Society of Fellows
Dan Iancu & Antonio Skillicorn | Interpretable Machine Learning and Mixed Datasets for Predicting Child Labor in Ghana’s Cocoa Sector
Child labor remains prevalent in Ghana’s cocoa sector and is associated with adverse educational and health outcomes for children.
Dan Iancu & Antonio Skillicorn | Interpretable Machine Learning and Mixed Datasets for Predicting Child Labor in Ghana’s Cocoa Sector
Child labor remains prevalent in Ghana’s cocoa sector and is associated with adverse educational and health outcomes for children.
Joel Becker | Reconciling Impressive AI Benchmark Performance with Limited Developer Productivity Impacts
AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...
Joel Becker | Reconciling Impressive AI Benchmark Performance with Limited Developer Productivity Impacts
AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...
Hari Subramonyam | Learning by Creating: A Human-Centered Vision for AI in Education
Zoë Hitzig | How People Use ChatGPT
Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...
Zoë Hitzig | How People Use ChatGPT
Despite the rapid adoption of LLM chatbots, little is known about how they are used. We approach this question theoretically and empirically, modeling a user who chooses whether to complete a task herself, ask the chatbot for information that reduces decision noise, or delegate execution to the chatbot...