How can we develop ethical, human-centered, and equitable AI solutions for education? Here scholars outline how their research informs a more conscientious and effective method for designing machine learning algorithms in education and beyond.
@stanfordhai
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Microsoft Azure’s AI Architecture Insights with Mark Russinovich
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Next week, Microsoft @Azure
’s @markrussinovich will join us to discuss Microsoft’s AI architecture and share insights on trending AI research and other advances in the field. In-person attendance is now at capacity, but you can still join us via Zoom: -
LLMs Medical Claims Citation Accuracy Under Research Scrutiny
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Researchers are studying how often and how accurately LLMs cite references when making medical claims – and finding room for improvement.
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James Landay Receives ACM SIGCHI Lifetime Research Award
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Congrats to @StanfordHAI
’s James @Landay on his ACM SIGCHI Lifetime Research Award! This award recognizes the most innovative and influential contributions to the study of human-computer interaction. Well deserved, James! @sigchi https://
bit.ly/3Ilw1hH -
Data-Centered AI Approach Bridges Education Implementation Gap
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In education, there remains a significant gap between how AI is imagined and how it is deployed and used. Can a data-centered approach to AI address this challenge? https://
stanford.io/3wzTYiz -
AI-Human Collaboration Reshaping Clinical Medical Evaluations
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Many healthcare practitioners expect generative tools to become increasingly adopted in medical evaluations. But how will they fit into clinical settings? A new study suggests a future where human doctors and AI collaborate to improve patient outcomes. https://
stanford.io/3TgGelF -
U.S. Government AI Executive Order Implementation Progress Report
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How has the U.S. government fared in its efforts to implement the AI Executive Order? @StanfordHAI and RegLab scholars provide an update following the 90-day milestone on agencies' implementation progress and transparency in enacting requirements. https://
stanford.io/3wFFcXu -
Stanford Discusses AI Education and Future of Work
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Last weekend, @StanfordHAI
’s @landay and @vanessaparli
, along with @StanfordEd
’s @VicariousLee and @Volcoucou
, joined hundreds of parents and guardians during @Stanford Family Weekend to discuss AI, education, and the future of work. https://
stanford.io/3P0QZWG -
AI Model Rankings and Benchmark Saturation Challenges
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Community-built rankings of AI models are surging in popularity, revealing some models outperforming humans in tasks. What does this mean? @StanfordHAI
's @VanessaParli weighs in on benchmark saturation. (via @NBCNews
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Foundation Models Release Policy: New Research on Societal Impact
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How should foundation models be released? A new paper adds precision to one of the biggest tech policy debates today. The research – a collaborative effort among 25 scholars across various sectors – examines the societal impact of open foundation models. https://
stanford.io/42Xwm3m