All Work Published on Healthcare
Why 'Zero-Shot' Clinical Predictions Are Risky
These models generate plausible timelines from historical patterns; without calibration and auditing, their “probabilities” may not reflect reality.
These models generate plausible timelines from historical patterns; without calibration and auditing, their “probabilities” may not reflect reality.
Toward Fairness in Health Care Training Data
This brief highlights the lack of geographic representation in medical-imaging AI training data and calls for nationwide, diversity-focused data-sharing initiatives.
This brief highlights the lack of geographic representation in medical-imaging AI training data and calls for nationwide, diversity-focused data-sharing initiatives.
Shana Lynch, HAI Head of Content and Associate Director of Communications, pointed out the "'era of AI evangelism is giving way to an era of AI evaluation,'" in her AI predictions piece, where she interviewed several Stanford AI experts on their insights for AI impacts in 2026.
Shana Lynch, HAI Head of Content and Associate Director of Communications, pointed out the "'era of AI evangelism is giving way to an era of AI evaluation,'" in her AI predictions piece, where she interviewed several Stanford AI experts on their insights for AI impacts in 2026.
Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.
Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.
The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.
The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.
Vital Set Of Policy Recommendations For Stridently Dealing With AI That Provides Mental Health Advice
Forbes Columnist Lance Elliot describes Stanford HAI's recent response to the FDA’s RFC, which focused on policy recommendations for mental health and AI.
Forbes Columnist Lance Elliot describes Stanford HAI's recent response to the FDA’s RFC, which focused on policy recommendations for mental health and AI.