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This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
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.
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.
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.
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.
This seminar co-hosted with the AI Measurement Science Center (AIMS) invites speakers to discuss academic work in AI evaluation and measurement science.
This seminar co-hosted with the AI Measurement Science Center (AIMS) invites speakers to discuss academic work in AI evaluation and measurement science.
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.
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.
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.
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.
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.
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.
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.
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.
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.
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.
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.
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
Hear from speakers and attendees at recent Stanford HAI events across research, policy, and education.
The Hoover Institution and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) launched the 2024 AI Index Report, that was released on April 15, 2024.
The Hoover Institution and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) launched the 2024 AI Index Report, that was released on April 15, 2024.
Concerns over the societal impacts of generative AI are prompting a flurry of regulatory and policy responses globally, with initiatives underway in the EU, China, Brazil, Japan, Singapore, the UK, and the US, as well as through multilateral organizations such as the UN, OECD, the African Union, and ASEAN. Proposals range widely, reflecting competing political philosophies.
Concerns over the societal impacts of generative AI are prompting a flurry of regulatory and policy responses globally, with initiatives underway in the EU, China, Brazil, Japan, Singapore, the UK, and the US, as well as through multilateral organizations such as the UN, OECD, the African Union, and ASEAN. Proposals range widely, reflecting competing political philosophies.
What is good technology? Is it even possible? And how can feminism help us work toward it?
What is good technology? Is it even possible? And how can feminism help us work toward it?
Much of what we know today about global events - like Russia's invasion of Ukraine or North Korea’s advancement towards nuclear capability - has come from satellite sensors that collect optical images of the earth's surface.
Much of what we know today about global events - like Russia's invasion of Ukraine or North Korea’s advancement towards nuclear capability - has come from satellite sensors that collect optical images of the earth's surface.
Welcome to Stanford Human-Centered AI Vodcast, where we don't sweep anything under the rug; where we question everything, starting with ourselves.
Welcome to Stanford Human-Centered AI Vodcast, where we don't sweep anything under the rug; where we question everything, starting with ourselves.
In this seminar, Mark Russinovich, Azure CTO and Technical Fellow, gave an under-the-hood look at Microsoft’s AI architecture, including the large-scale supercomputers that train foundational models and the infrastructure that efficiently serves small and large pretrained and fine-tuned models.
In this seminar, Mark Russinovich, Azure CTO and Technical Fellow, gave an under-the-hood look at Microsoft’s AI architecture, including the large-scale supercomputers that train foundational models and the infrastructure that efficiently serves small and large pretrained and fine-tuned models.
In his talk, "AI For Good” Isn’t Good Enough: A Call for Human-Centered AI", Professor James Landay elaborates on his argument for an authentic Human-Centered AI.
In his talk, "AI For Good” Isn’t Good Enough: A Call for Human-Centered AI", Professor James Landay elaborates on his argument for an authentic Human-Centered AI.
In the 17th century, the Cartesian coordinate system exposed the unity between algebra and geometry, accelerating the development of the math that took humans to the moon.
In the 17th century, the Cartesian coordinate system exposed the unity between algebra and geometry, accelerating the development of the math that took humans to the moon.