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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.
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.
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.
Scholars hope these generative agents based on real-life interviews can solve society’s toughest problems.
Scholars hope these generative agents based on real-life interviews can solve society’s toughest problems.
Stanford HAI’s new Senior Fellow will study common sense AI and moving from large language models to small language models.
Stanford HAI’s new Senior Fellow will study common sense AI and moving from large language models to small language models.
Stanford HAI has built a major portfolio of education opportunities for state, federal, and international policy leaders to strengthen AI governance.
Stanford HAI has built a major portfolio of education opportunities for state, federal, and international policy leaders to strengthen AI governance.
When LLMs take surveys on personality traits, they, like people, exhibit a desire to appear likable.
When LLMs take surveys on personality traits, they, like people, exhibit a desire to appear likable.
Stanford's Michael Rau combines human creativity and artificial intelligence to add new dimensions to storytelling and stagecraft.
Stanford's Michael Rau combines human creativity and artificial intelligence to add new dimensions to storytelling and stagecraft.
Leading Stanford faculty offer their expectations for artificial intelligence in the new year.
Leading Stanford faculty offer their expectations for artificial intelligence in the new year.
The computer scientist will invest in SAIL’s vibrant research community as it builds the future of technical AI.
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.
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.
How researchers are working to ensure AI accelerates medical breakthroughs without unintended harm.
Stanford researchers uncover the key factors behind successful AI development in the workplace.