On April 28, 2022, a group of researchers – affiliated with centers at the University of California, Berkeley – with expertise in AI research and development, safety, security, policy, and ethics submitted this formal response to the National Institute of Standards and Technology (NIST) in response to the Initial Draft…
The UC Berkeley AI Policy Hub is now accepting applications for its inaugural Fall 2022 – Spring 2023 cohort APPLY HERE Applications due by: Tuesday, April 26 at 11:59 PM (PDT) What are the benefits of the program to participants? Participants of the AI Policy Hub will have the…
BERKELEY, CA — Two prominent research centers at the University of California, Berkeley have joined together to launch the AI Policy Hub, an interdisciplinary initiative training forward-thinking researchers to develop effective governance and policy frameworks to guide AI, today and into the future. The AI Policy Hub will support cohorts…
On March 4, 2022, a group of professors and researchers – affiliated with centers at the University of California, Berkeley as well as external technology and governance non-profit research organizations – with expertise in AI research and development, policy, and ethics submitted this formal response to the Office of Science and…
On February 3, 2022, CLTC hosted a virtual “fireside chat” featuring two scholars from the UC Berkeley School of Law — Orin Kerr, Professor of Law, and Tejas Narechania, Assistant Professor of Law. The panel addressed a range of questions related to data scraping in the context of the law. Watch the video and read excerpts from the conversation.
“Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems,” a new report by a team of researchers affiliated with the UC Berkeley Center for Long-Term Cybersecurity’s Artificial Intelligence Security Initiative (AISI), examines potential benefits and challenges related to reinforcement learning, and provides recommendations to help policymakers ensure that RL-based systems are deployed safely and responsibly.
On January 25, 2022, a group of researchers affiliated with UC Berkeley responded to NIST’s request for comments on its Concept Paper for an AI Risk Management Framework. The entire response is available as a PDF download here.
Recorded on November 10, 2021, this video features a conversation between Steven Weber, Faculty Director of the University of California, Berkeley’s Center for Long-Term Cybersecurity, and Kate Charlet, Director for Data Governance at Google, addressing a wide range of questions related to how organizations can “future-proof” themselves in a dynamic security and privacy landscape.
Apple and Facebook are at the center of a highly consequential debate over the future of the ad-supported Internet, backdropped by Apple’s announcement that the latest version of its mobile operating system will require app developers to get permission to use certain data for ads. Much more than a…
On Wednesday, May 13, CLTC hosted a virtual event titled, “Perspectives on digital security policy in the time of Covid-19.” The event featured Amit Elazari, Director, Global Security Policy at Intel Corporation and Cristin Goodwin, Assistant General Counsel for Cybersecurity and Digital Trust at Microsoft, for a conversation on recent…
On Tuesday, June 25, Ahmad Sultan—a past CLTC grantee and author of the report “Improving Cybersecurity Awareness in Underserved Populations”—appeared before a Congressional Homeland Security Subcommittee on Cybersecurity, Infrastructure Protection, and Innovation hearing on “Cybersecurity Challenges for State and Local Governments: Assessing How the Federal Government Can Help.”