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January 26, 2023

White Paper

A Taxonomy of Trustworthiness for Artificial Intelligence

By: Jessica Newman

A new report published by the UC Berkeley Center for Long-Term Cybersecurity (CLTC) aims to help organizations develop and deploy more trustworthy artificial intelligence (AI) technologies. “A Taxonomy of Trustworthiness for Artificial Intelligence: Connecting Properties of Trustworthiness with Risk Management and the AI Lifecycle,” by Jessica Newman, Director of CLTC’s AI Security Initiative (AISI) and Co-Director of the UC Berkeley AI Policy Hub, is a complement to the NIST AI Risk Management Framework.

October 13, 2022

White Paper

business people around a table

Moving Left and Right: Cybersecurity Processes and Outcomes in M&A Due Diligence

By: Andrew Reddie, Prakash Krishnan

This study from the the Center for Long-Term Cybersecurity presents a model framework to help organizations improve their consideration of cybersecurity risk as part of a merger or acquisition (M&A). Developed through interviews with academics and practitioners who are experts in M&A, the report, “Moving Left and Right: Cybersecurity Processes and Outcomes in M&A Due Diligence,” integrates insights and best practices to improve on due diligence for security risk.

February 8, 2022

White Paper

Choices Risks Rewards Cover Image

Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems

By: Thomas Gilbert, Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems

Reinforcement learning (RL) is one of the most promising branches of artificial intelligence (AI), and has potential to transform domains ranging from social media recommendations and traffic modeling…