May 2, 2022

Recommendations to NIST on the AI Risk Management Framework Initial Draft

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…

April 4, 2022

AI Policy Hub Now Accepting Applications

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…

March 10, 2022

UC Berkeley Launches AI Policy Hub

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…

February 15, 2022

Recap: Data Scraping & the Courts: State of Play with the CFAA

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.

February 8, 2022

New CLTC White Paper Proposes “Reward Reports” for Reinforcement Learning Systems

“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.

January 25, 2022

Response to NIST AI Risk Management Framework Concept Paper

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.

November 16, 2021

Future-Proofing for a Changing Privacy and Security Landscape

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.

June 26, 2019

CLTC Grantee Ahmad Sultan Testifies Before Congressional Subcommittee

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.”