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Holistic Evaluation of Large Language Models for Medical Applications
Medical and AI experts build a benchmark for evaluation of LLMs grounded in real-world healthcare needs.
Education+AI Summit: The Future is Already Here
The third Stanford AI+Education Summit brought together researchers, K-12 leaders, educators, and technologists to...
Generative AI Tool Marks a Milestone in Biology
Trained on a dataset that includes all known living species – and a few extinct ones – Evo 2 can predict the form and...
AI Action Summit in Paris Highlights A Shifting Policy Landscape
Stanford HAI joined global leaders to discuss the balance between AI innovation and safety and explore future policy...
Managing Risks in AI-Powered Biomedical Research
How researchers are working to ensure AI accelerates medical breakthroughs without unintended harm.
Carlos Guestrin to Lead Stanford AI Lab as it Joins Forces with Stanford HAI
The computer scientist will invest in SAIL’s vibrant research community as it builds the future of technical AI.
Why Corporate AI Projects Succeed or Fail
Stanford researchers uncover the key factors behind successful AI development in the workplace.
How Disruptive Is DeepSeek? Stanford HAI Faculty Discuss China’s New Model
Experts weigh in on the implications of DeepSeek’s open-source model and its impact on technology, geopolitics, the arts...
Advancing Responsible Healthcare AI with Longitudinal EHR Datasets
Current evaluations of AI models in healthcare rely on limited datasets like MIMIC, lacking complete patient...
AI’s Fairness Problem: When Treating Everyone the Same is the Wrong Approach
Current generative AI models struggle to recognize when demographic distinctions matter—leading to inaccurate,...
HAI at Davos: Key Insights on AI From the World Economic Forum
Stanford HAI faculty joined world leaders and policymakers to discuss AI trends, shifting U.S. policy, the future of...
Stanford’s Multimodal AI Model Advances Personalized Cancer Care
The MUSK model combines clinical notes and images to predict prognosis and immunotherapy response.