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January 26, 2023

White Paper

cover of the report

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.

December 27, 2022

Blog Post

Corporate Responsibility at the Cutting Edge

By: Jordan Famularo

The integration of corporations’ environmental, social, and governance (ESG) practices in investment decisions has transformed financial markets over the past two decades. Global ESG assets could exceed $50…

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.