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
Stanford HAI
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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
AI capability isn’t plateauing, it’s accelerating. In 2025, industry produced 90%+ of notable frontier models. Several now meet or beat human baselines on PhD-level science, multimodal reasoning, & competition math. Read more: https://t.co/WqRGeRZIjA
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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