All Work Published on Privacy, Safety, Security
This brief reviews the history of algorithm auditing, describes its current state, and offers best practices for conducting algorithm audits today.
This brief reviews the history of algorithm auditing, describes its current state, and offers best practices for conducting algorithm audits today.
At a recent Stanford-MIT-Princeton workshop, experts highlight the need for legal protections, standardized evaluation practices, and better terminology to support third-party AI evaluations.
At a recent Stanford-MIT-Princeton workshop, experts highlight the need for legal protections, standardized evaluation practices, and better terminology to support third-party AI evaluations.
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.
At a workshop preceding ASEAN’s Ministerial Meeting, Stanford faculty and ASEAN delegates explored AI’s impact on governance, fairness, and regional cooperation.
At a workshop preceding ASEAN’s Ministerial Meeting, Stanford faculty and ASEAN delegates explored AI’s impact on governance, fairness, and regional cooperation.
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.
Peter Norvig, Distinguished Education Fellow at the Stanford HAI, comments on how limiting the budget at an AI agent’s disposal as well as transaction times and capabilities can help AI agents “operate safely within defined boundaries."
Peter Norvig, Distinguished Education Fellow at the Stanford HAI, comments on how limiting the budget at an AI agent’s disposal as well as transaction times and capabilities can help AI agents “operate safely within defined boundaries."