All Work Published on Regulation, Policy, Governance
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.
Building a National AI Research Resource: A Blueprint for the National Research Cloud
This white paper proposes a blueprint for a National Research Cloud that would enable much greater access to—and in that sense, democratize—forms of AI and AI research that have increased in computational demands.
This white paper proposes a blueprint for a National Research Cloud that would enable much greater access to—and in that sense, democratize—forms of AI and AI research that have increased in computational demands.
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.
This explainer summarizes the European Commission's proposal to regulate “high-risk” AI use cases and briefly discusses its implications.
This explainer summarizes the European Commission's proposal to regulate “high-risk” AI use cases and briefly discusses its implications.
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.
Domain Shift and Emerging Questions in Facial Recognition Technology
This brief urges transparent, verifiable standards for facial-recognition systems and calls for a moratorium on government use until rigorous in-domain testing frameworks are established.
This brief urges transparent, verifiable standards for facial-recognition systems and calls for a moratorium on government use until rigorous in-domain testing frameworks are established.
