All Work Published on Privacy, Safety, Security
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.
Transparency in AI is on the Decline
A new study shows the AI industry is withholding key information.
A new study shows the AI industry is withholding key information.
Safeguarding Third-Party AI Research
This brief examines the barriers to independent AI evaluation and proposes safe harbors to protect good-faith third-party research.
This brief examines the barriers to independent AI evaluation and proposes safe harbors to protect good-faith third-party research.
Jennifer King, Policy Fellow at the Stanford HAI who specializes in privacy, discusses vagueness in the TSA’s public communications about what they are doing with facial recognition data.
Jennifer King, Policy Fellow at the Stanford HAI who specializes in privacy, discusses vagueness in the TSA’s public communications about what they are doing with facial recognition data.
What Makes a Good AI Benchmark?
This brief presents a novel assessment framework for evaluating the quality of AI benchmarks and scores 24 benchmarks against the framework.
This brief presents a novel assessment framework for evaluating the quality of AI benchmarks and scores 24 benchmarks against the framework.
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.
