All Work Published on Regulation, Policy, Governance
Michelle M. Mello discusses how Congress can support healthcare organizations and health insurers navigating the uncharted territory of AI tools by imposing some guardrails while allowing the rules to evolve with the technology.
Michelle M. Mello discusses how Congress can support healthcare organizations and health insurers navigating the uncharted territory of AI tools by imposing some guardrails while allowing the rules to evolve with the technology.
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.
This White Paper assesses the progress of three pillars of U.S. leadership in AI innovation and trustworthy AI that carry the force of law.
This White Paper assesses the progress of three pillars of U.S. leadership in AI innovation and trustworthy AI that carry the force of law.
Tech Ethics & Policy: Stanford HAI’s AI Fellowship Program Connects Students with Roles in Public Service
Three students share their experiences working at the forefront of technology regulation and policy in Washington, D.C.
Three students share their experiences working at the forefront of technology regulation and policy in Washington, D.C.
Stanford HAI submitted a response to support the work of the White House Office of Science and Technology to develop an AI Bill of Rights, recommending six principles to guide the public and private uses of biometric and broader AI technologies.
Stanford HAI submitted a response to support the work of the White House Office of Science and Technology to develop an AI Bill of Rights, recommending six principles to guide the public and private uses of biometric and broader AI technologies.
Stanford's RegLab, directed by HAI Senior Fellow Daniel E. Ho, developed an AI model that helped Santa Clara accelerate the process of flagging and mapping restrictive covenants.
Stanford's RegLab, directed by HAI Senior Fellow Daniel E. Ho, developed an AI model that helped Santa Clara accelerate the process of flagging and mapping restrictive covenants.