All Work Published on Privacy, Safety, Security
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.
Stanford HAI Policy Fellow Jennifer King speaks about the data privacy implications of 23andMe's purchase by Regeneron.
Stanford HAI Policy Fellow Jennifer King speaks about the data privacy implications of 23andMe's purchase by Regeneron.
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.
The Evolution of Safety: Stanford’s Mykel Kochenderfer Explores Responsible AI in High-Stakes Environments
As AI technologies rapidly evolve, Professor Kochenderfer leads the charge in developing effective validation mechanisms to ensure safety in autonomous systems like vehicles and drones.
As AI technologies rapidly evolve, Professor Kochenderfer leads the charge in developing effective validation mechanisms to ensure safety in autonomous systems like vehicles and drones.
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.
Pointing to "white-hat" hacking, AI policy experts recommend a new system of third-party reporting and tracking of AI’s flaws.
Pointing to "white-hat" hacking, AI policy experts recommend a new system of third-party reporting and tracking of AI’s flaws.
