All Work Published on Regulation, Policy, Governance
This brief evaluates the impact of authorship labels on the persuasiveness of AI-written policy messages.
This brief evaluates the impact of authorship labels on the persuasiveness of AI-written policy messages.
“It connects back to my fear that the people with the fewest resources will be most affected by the downsides of AI,” says HAI Policy Fellow Riana Pfefferkorn in response to a viral AI-generated deepfake video.
“It connects back to my fear that the people with the fewest resources will be most affected by the downsides of AI,” says HAI Policy Fellow Riana Pfefferkorn in response to a viral AI-generated deepfake video.
Adverse Event Reporting for AI: Developing the Information Infrastructure Government Needs to Learn and Act
This brief assesses the benefits of and provides policy recommendations for adverse event reporting systems for AI that report failures and harms post deployment.
This brief assesses the benefits of and provides policy recommendations for adverse event reporting systems for AI that report failures and harms post deployment.
"The biggest difference between 23andMe and other breaches is that sequenced DNA is 'irreplaceable and immutable,' said Jennifer King," a Stanford HAI Policy Fellow.
"The biggest difference between 23andMe and other breaches is that sequenced DNA is 'irreplaceable and immutable,' said Jennifer King," a Stanford HAI Policy Fellow.
Stanford scholars respond to a federal RFI on the development of an AI Action Plan, urging policymakers to promote open and scientific innovation, craft evidence-based AI policy, and empower government leaders.
Stanford scholars respond to a federal RFI on the development of an AI Action Plan, urging policymakers to promote open and scientific innovation, craft evidence-based AI policy, and empower government leaders.
A Stanford study reveals that leading AI companies are pulling user conversations for training, highlighting privacy risks and a need for clearer policies.
A Stanford study reveals that leading AI companies are pulling user conversations for training, highlighting privacy risks and a need for clearer policies.
