Education researchers have evaluated the ability of large language models (LLMs) to help middle school math teachers structure tiered lessons to reach diverse skill levels — a strategy called scaffolding.
Education researchers have evaluated the ability of large language models (LLMs) to help middle school math teachers structure tiered lessons to reach diverse skill levels — a strategy called scaffolding.
Stanford HAI researchers create eight new AI benchmarks that could help developers reduce bias in AI models, potentially making them fairer and less likely to case harm.
Stanford HAI researchers create eight new AI benchmarks that could help developers reduce bias in AI models, potentially making them fairer and less likely to case harm.
A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.
A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.
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.
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.
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.
