All Work Published on Regulation, Policy, Governance
AI Sovereignty’s Definitional Dilemma
Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
Exploring the Impact of AI on Black Americans: Considerations for the Congressional Black Caucus’s Policy Initiatives
This white paper 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 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.
Elon Musk was forced to put restrictions on X and its AI chatbot, Grok, after its image generator sparked outrage around the world. Grok created non-consensual sexualized images, prompting some countries to ban the bot. Liz Landers discussed Grok's troubles with Riana Pfefferkorn of the Stanford Institute for Human-Centered Artificial Intelligence.
Elon Musk was forced to put restrictions on X and its AI chatbot, Grok, after its image generator sparked outrage around the world. Grok created non-consensual sexualized images, prompting some countries to ban the bot. Liz Landers discussed Grok's troubles with Riana Pfefferkorn of the Stanford Institute for Human-Centered Artificial Intelligence.
Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World
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.
Scholars develop a framework in collaboration with luxury goods multinational LVMH that lays out how large companies can flexibly deploy principles on the responsible use of AI across business units worldwide.
Scholars develop a framework in collaboration with luxury goods multinational LVMH that lays out how large companies can flexibly deploy principles on the responsible use of AI across business units worldwide.
Daniel E. Ho's Testimony Before the California Senate Governmental Organization Committee and the Senate Budget and Fiscal Review Subcommittee No. 4 on State Administration and General Government
In this testimony presented in the California Senate Hearing “California at the Forefront: Steering AI Towards Ethical Horizons,” Daniel E. Ho offers three recommendations for how California should lead the nation in responsible AI innovation by nurturing and attracting technical talent into public service, democratizing access to computing and data resources, and addressing the information asymmetry about AI risks.
In this testimony presented in the California Senate Hearing “California at the Forefront: Steering AI Towards Ethical Horizons,” Daniel E. Ho offers three recommendations for how California should lead the nation in responsible AI innovation by nurturing and attracting technical talent into public service, democratizing access to computing and data resources, and addressing the information asymmetry about AI risks.
