event
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
Event
An AI Measurement Science (AIMS) Seminar Series
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An AI Measurement Science (AIMS) Seminar Series
An AI Measurement Science (AIMS) Seminar Series
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.
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.
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.
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.
Join the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Stanford Arts on September 30 at 4pm PDT for a panel discussion of Coded Bias, a documentary film focusing on the ground-breaking research by MIT’s Joy Buolamwini into facial recognition technology’s troubling racial bias.
The panel discussion will include Coded Bias director Shalini Kantayya and HAI co-director and computer vision expert Fei-Fei Li, moderated by HAI associate director and Stanford professor of English Michele Elam.