Stanford law professor advocates for public-sector AI tools to support self-represented litigants in civil cases.
Stanford law professor advocates for public-sector AI tools to support self-represented litigants in civil cases.
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.
Medical and AI experts build a benchmark for evaluation of LLMs grounded in real-world healthcare needs.
Stanford HAI joined global leaders to discuss the balance between AI innovation and safety and explore future policy paths.
Stanford HAI joined global leaders to discuss the balance between AI innovation and safety and explore future policy paths.
Trained on a dataset that includes all known living species – and a few extinct ones – Evo 2 can predict the form and function of proteins in the DNA of all domains of life and run experiments in a fraction of the time it would take a traditional lab.
Trained on a dataset that includes all known living species – and a few extinct ones – Evo 2 can predict the form and function of proteins in the DNA of all domains of life and run experiments in a fraction of the time it would take a traditional lab.
The third Stanford AI+Education Summit brought together researchers, K-12 leaders, educators, and technologists to explore how AI is shaping teaching and learning.
The third Stanford AI+Education Summit brought together researchers, K-12 leaders, educators, and technologists to explore how AI is shaping teaching and learning.
How researchers are working to ensure AI accelerates medical breakthroughs without unintended harm.
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.
The computer scientist will invest in SAIL’s vibrant research community as it builds the future of technical AI.
Stanford researchers uncover the key factors behind successful AI development in the workplace.
Stanford researchers uncover the key factors behind successful AI development in the workplace.
Advancing Responsible Healthcare AI with Longitudinal EHR Datasets
Current evaluations of AI models in healthcare rely on limited datasets like MIMIC, lacking complete patient trajectories. New benchmark datasets offer an alternative.
Current evaluations of AI models in healthcare rely on limited datasets like MIMIC, lacking complete patient trajectories. New benchmark datasets offer an alternative.
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, misleading, and sometimes harmful outcomes.
Current generative AI models struggle to recognize when demographic distinctions matter—leading to inaccurate, misleading, and sometimes harmful outcomes.
The Stanford Institute for Human-Centered AI Welcomes Itaú Unibanco as a New Industry Affiliate
Thirty-two interdisciplinary teams will receive $2.37 million in Seed Research Grants to work toward initial results on ambitious proposals.
Thirty-two interdisciplinary teams will receive $2.37 million in Seed Research Grants to work toward initial results on ambitious proposals.
Stanford HAI faculty joined world leaders and policymakers to discuss AI trends, shifting U.S. policy, the future of diversity efforts, and more.
Stanford HAI faculty joined world leaders and policymakers to discuss AI trends, shifting U.S. policy, the future of diversity efforts, and more.
The MUSK model combines clinical notes and images to predict prognosis and immunotherapy response.
The MUSK model combines clinical notes and images to predict prognosis and immunotherapy response.
The prevailing public mindset that AI is only a labor-saving tool betrays a lack of understanding of why people create and a lack of imagination of this technology's potential.
The prevailing public mindset that AI is only a labor-saving tool betrays a lack of understanding of why people create and a lack of imagination of this technology's potential.