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.
Artificial intelligence has come a long way in a short time. No longer relegated to only outwitting humans in chess matches, AI now powers virtual assistants like Siri and self-driving cars testing their way through our neighborhoods. But if AI is getting more ingrained in society, why has it not boosted economic growth — as technological innovations like electricity or computers have done in the past?
Erik Brynjolfsson, a leading economist in AI, says it’s only a matter of time.
Brynjolfsson, Director of the MIT Initiative on the Digital Economy, spoke Tuesday at the Stanford Institute for Economic Policy Research (SIEPR), on “The AI Awakening and the Coming Productivity Boom.” The event was co-hosted by SIEPR and the Stanford Institute for Human-Centered Artificial Intelligence (HAI), where Brynjolfsson is a distinguished fellow. Read the full article.