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Friends of the Stanford Institute for Human-Centered AI (HAI): We invite you to the second Stanford HAI Orientation to learn more about our work, meet faculty and peers, and find out more about the ways in which you can get involved. All Stanford students, faculty and staff are welcome to attend.
We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.
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We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
Friends of the Stanford Institute for Human-Centered AI (HAI):
We invite you to the second Stanford HAI Orientation to learn more about our work, meet faculty and peers, and find out more about the ways in which you can get involved. All Stanford students, faculty and staff are welcome to attend.
10:00 am: Welcome & Introductions
10:10 am: Faculty Presentations
10:35 am: HAI Labs & Centers: The Center for Research on Foundation Models (CRFM)
10:40 am: HAI Labs & Centers: Stanford Digital Economy Lab (DEL)
10:45 am: Group Activity
11:15 am: HAI Programs: Research
11:20 am: HAI Programs: Policy & Society
11:25 am: HAI Programs: Industry
11:30 am: Keynote: HAI Visions & Future by Fei-Fei Li
11:45 am: Snacks & Networking