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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.
Watch now to hear AI Index Steering Committee Co-Chair Jack Clark share a presentation on the key findings of the 2022 AI Index Report, released on March 16.The AI Index is an independent initiative at Stanford HAI led by an interdisciplinary steering committee of experts from across academia and industry. Its goal is to be the world’s most credible and authoritative source for data and insights about AI to provide policymakers, researchers, journalists, executives, and the general public a deeper understanding of the field.
Co-Founder, Anthropic; Co-Chair of the AI Index Steering Committee, Stanford HAI
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