The smarter X’s algorithm gets at reading your behavior, the further it drifts from what you actually want. A new Stanford-led study explains why: https://t.co/L74gisPsZl
Who's Who of AI
Stanford HAI
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Directory member with public evidence across Culture, work & education, Policy & governance.
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The official account of the Stanford Institute for Human-Centered AI, advancing AI research, education, policy, and practice to improve the human condition.
What they're sharing
Your ‘For You’ Algorithm Disagrees With You | Stanford HAI hai.stanford.edu
The 2026 AI Index Report | Stanford HAI hai.stanford.edu
Data Privacy and Foundation Models: Can We Have Both? | Stanford HAI hai.stanford.edu
Which countries are leading in AI? | Stanford HAI hai.stanford.edu
Civil Society and Nonprofits | Stanford HAI hai.stanford.edu
HAI Seminar: Challenges & Opportunities For Human-Centered Music Emotion Recognition youtube.com
Stanford's RAISE Health Symposium 2026 youtube.com
Articles & links
Over 80% of U.S. high school and college students now use AI for school-related tasks. Only half of middle and high schools have AI policies in place, and just 6% of teachers say those policies are clear. More in the #AIIndex2026: https://t.co/WqRGeRZIjA
Privacy risks in generative AI aren’t limited to “bad prompts.” This brief examines how foundation models can impact people’s data and the guardrails needed to protect privacy. Read more here: https://t.co/2B7GCBumou https://t.co/m7Tn0WoHXF
Which countries are leading in AI development? The Global AI Vibrancy Tool lets you compare AI capabilities across 66 countries using 42 indicators, from research output to infrastructure to policy frameworks. Explore our interactive tool: https://t.co/lH1G3zrdab
What does an AI project for social impact look like? Join us and the @stanforddschool this fall for a hands-on program for designing responsible AI solutions grounded in human needs. Early bird ends July 17: https://t.co/FUmAGo5RJD https://t.co/wIw0bHDZdZ
ICYMI: HAI Faculty Affiliate Juan S. Gómez-Cañón explored a human-centered approach to music emotion recognition, examining how experiences, cultural backgrounds, and context shape our emotional responses to music. https://t.co/ak6YJ6rfF2 https://t.co/AR8EEcJ14C
The third annual RAISE Health Symposium explored how AI is transforming health care. From building patient trust to responsible clinical implementation and governance, access the full recordings here via @StanfordMed: https://t.co/JC5tMtkgmD https://t.co/i7p5k0TDc0
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