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Stanford Institute for Human-Centered Artificial Intelligence

Stanford HAI —

Training AI experts for public service

You can’t regulate artificial intelligence without technical talent, says Stanford HAI’s Daniel Zhang. Tech, Ethics & Policy Fellows are helping shape the conversation.

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Stanford HAI —

New leaders join Stanford HAI

Three new faculty associate directors and a new deputy director will help shape the future of human-centered artificial intelligence.

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Stanford HAI —

Using AI to help refugees succeed

Machine learning tools are helping countries place refugees where they’re most likely to find employment.

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Stanford Institute for Human-Centered Artificial Intelligence —

Tuning our algorithmic amplifiers

The values built into social media algorithms are highly individualized. Could we reshape our feeds to benefit society?

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Tools for teachers

Stanford education researchers are at the forefront of building natural language processing systems that will support teachers and improve instruction in the classroom.

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“Generative agents” change the game

“Generative agents” that draw on large language models to make breakfast, head to work, grab lunch, and ask other agents out on dates could change both gaming and social science.

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Coding art

A new tool powered by a large language model makes it easier for generative artists to create and edit with precision.

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Meet the new HAI graduate and postdoc fellows

This year’s cohort includes scholars from sociology, law, art, computer science, mechanical engineering, anthropology, psychology, ethics, ecology, and more.

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The problem of pediatric data

Medical algorithms trained on adult data may be unreliable for evaluating young patients. But children’s records present complex quandaries for AI, especially around equity and consent.

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AI uncovers bias in dermatology training tools

A model trained on thousands of images in medical textbooks and journal articles found that dark skin tones are underrepresented in materials that teach doctors to recognize disease.

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