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Stanford Institute for Human-Centered Artificial Intelligence

Stanford HAI —

AI’s hidden racial variables

James Zou on how AI that predicts patients' race based on medical images could improve or exacerbate health care disparities.

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Stanford HAI —

Why ethics teams can’t fix tech

New research suggests that tech industry ethics teams lack resources and authority, making their effectiveness spotty at best.

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Stanford HAI —

What the European Union AI Act means for the U.S.

Experts explored the finer points of the regulation poised to become the first comprehensive legal framework for artificial intelligence.

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ChatGPT outscores med students on clinical exam questions

Will AI’s ability to analyze medical text and offer diagnoses force us to rethink how we educate doctors?

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Stanford HAI —

The next generation of AI scholars

A pilot project invites a cross-disciplinary group of students to explore fresh approaches to human-centered artificial intelligence.

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AI’s moonshot moment

Stanford HAI leaders urged investment and leadership to unlock AI’s potential during a recent meeting with President Biden.

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Stanford HAI —

A blueprint for using AI in psychotherapy

A working paper proposes a three-stage process, similar to autonomous vehicle development, for responsibly integrating AI into psychotherapy.

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Stanford HAI —

New tool reveals language models’ political bias

A new tool finds that popular large language models have a decided bias on hot-button topics that may be out of step with popular opinion.

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Stanford HAI —

Can we trust generative search engines?

A generative search engine is supposed to respond to queries using content extracted from top web search hits, but there’s no easy way to know when it’s just making things up.

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Stanford HAI —

Why GPT detectors aren’t a solution to the AI cheating problem

At least seven algorithms promise to expose AI-written prose, but there’s one problem: They’re especially unreliable when the author is not a native English speaker.

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