Stanford HAI researchers develop a new benchmark suite aimed to test difference awareness in AI models.
Stanford HAI researchers develop a new benchmark suite aimed to test difference awareness in AI models.
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 Pioneer Fei-Fei Li Says AI Policy Must Be Based On ‘Science, Not Science Fiction’
Fei-Fei Li, Co-Director of Stanford HAI, outlines “three fundamental principles for the future of AI policymaking” ahead of the AI Action Summit in Paris.
Fei-Fei Li, Co-Director of Stanford HAI, outlines “three fundamental principles for the future of AI policymaking” ahead of the AI Action Summit in Paris.
Fei Fei Li, Co-Director of Stanford HAI, stresses the importance of governance for AI technologies.
Fei Fei Li, Co-Director of Stanford HAI, stresses the importance of governance for AI technologies.
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.
A team of researchers from Stanford HAI, MIT, and Princeton created the Foundation Model Transparency Index, which rated the transparency of 10 AI companies; each one received a failing grade.
A team of researchers from Stanford HAI, MIT, and Princeton created the Foundation Model Transparency Index, which rated the transparency of 10 AI companies; each one received a failing grade.
