Leading policymakers, academics, healthcare providers, AI developers, and patient advocates discuss the path forward for healthcare AI policy at closed-door workshop.
Leading policymakers, academics, healthcare providers, AI developers, and patient advocates discuss the path forward for healthcare AI policy at closed-door workshop.
Leading policymakers, academics, healthcare providers, AI developers, and patient advocates discuss the path forward for healthcare AI policy at closed-door workshop.
Leading policymakers, academics, healthcare providers, AI developers, and patient advocates discuss the path forward for healthcare AI policy at closed-door workshop.
This response calls for an approach to AI in global development that is grounded in local perspectives and tailored to the specific circumstances of Global Majority countries.
This response calls for an approach to AI in global development that is grounded in local perspectives and tailored to the specific circumstances of Global Majority countries.
This white paper, produced in collaboration with Black in AI, presents considerations for the Congressional Black Caucus’s policy initiatives by highlighting where AI holds the potential to deepen racial inequalities and where it can benefit Black communities.
This white paper, produced in collaboration with Black in AI, presents considerations for the Congressional Black Caucus’s policy initiatives by highlighting where AI holds the potential to deepen racial inequalities and where it can benefit Black communities.
The U.S. government has made swift progress and broadened transparency, but that momentum needs to be maintained for the next looming deadlines.
The U.S. government has made swift progress and broadened transparency, but that momentum needs to be maintained for the next looming deadlines.
This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.
This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.
The U.S. government has made swift progress and broadened transparency, but that momentum needs to be maintained for the next looming deadlines.
The U.S. government has made swift progress and broadened transparency, but that momentum needs to be maintained for the next looming deadlines.
New Stanford tracker analyzes the 150 requirements of the White House Executive Order on AI and offers new insights into government priorities.
New Stanford tracker analyzes the 150 requirements of the White House Executive Order on AI and offers new insights into government priorities.
New Stanford tracker analyzes the 150 requirements of the White House Executive Order on AI and offers new insights into government priorities.
New Stanford tracker analyzes the 150 requirements of the White House Executive Order on AI and offers new insights into government priorities.
America is ready again to lead on AI—and it won’t just be American companies shaping the AI landscape if the White House has anything to say about it.
America is ready again to lead on AI—and it won’t just be American companies shaping the AI landscape if the White House has anything to say about it.
America is ready again to lead on AI—and it won’t just be American companies shaping the AI landscape if the White House has anything to say about it.
America is ready again to lead on AI—and it won’t just be American companies shaping the AI landscape if the White House has anything to say about it.
Response to FTC's Advanced Notice of Proposed Rulemaking on Commercial Surveillance and Data Security
Response to FTC's Advanced Notice of Proposed Rulemaking on Commercial Surveillance and Data Security
In this response to a request for information issued by the National Science Foundation’s Networking and Information Technology Research and Development National Coordination Office (on behalf of the Office of Science and Technology Policy), scholars from Stanford HAI, CRFM, and RegLab urge policymakers to prioritize four areas of policy action in their AI Action Plan: 1) Promote open innovation as a strategic advantage for U.S. competitiveness; 2) Maintain U.S. AI leadership by promoting scientific innovation; 3) Craft evidence-based AI policy that protects Americans without stifling innovation; 4) Empower government leaders with resources and technical expertise to ensure a “whole-of-government” approach to AI governance.
This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.
This brief analyzes the disparity between academia and industry in frontier AI research and presents policy recommendations for ensuring a stronger role for academia in public sector AI.