All Related
The Privacy-Bias Trade-Off
This brief examines the “regulatory misalignment” of existing regulatory proposals for AI and urges policymakers to first consider feasibility, trade-offs, and unintended consequences before rushing into regulation.
This brief examines the “regulatory misalignment” of existing regulatory proposals for AI and urges policymakers to first consider feasibility, trade-offs, and unintended consequences before rushing into regulation.
Stanford scholars respond to a federal RFC on AI accountability policy issued by the National Telecommunications and Information Administration (NTIA).
Stanford scholars respond to a federal RFC on AI accountability policy issued by the National Telecommunications and Information Administration (NTIA).
Response to FTC's Advanced Notice of Proposed Rulemaking on Commercial Surveillance and Data Security
Stanford scholars respond to a federal RFC on commercial surveillance and data security, focusing on the intersection of automated decision-making and information privacy.
Stanford scholars respond to a federal RFC on commercial surveillance and data security, focusing on the intersection of automated decision-making and information privacy.
Recommendations on Updating the National Artificial Intelligence Research and Development Strategic Plan
Stanford HAI scholars respond to a federal RFI on updating the National AI R&D Strategic Plan, offering eight strategies for driving AI development forward.
Stanford HAI scholars respond to a federal RFI on updating the National AI R&D Strategic Plan, offering eight strategies for driving AI development forward.
A new report from the World Economic Forum calls for third-party data protection. This approach would respect individual rights and benefit companies and society.
A new report from the World Economic Forum calls for third-party data protection. This approach would respect individual rights and benefit companies and society.
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.
