Research Library

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.

A Secure and Equitable Metaverse: Designing Effective Community Guidelines for Social VR

By: Rafi Lazerson

Authored by Rafi Lazerson, this white paper calls upon Meta and other technology-makers to establish stronger, clearer guidelines to reduce the potential harms of “social virtual reality,” or social VR.

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.

AI’s Redress Problem: Recommendations to Improve Consumer Protection from Artificial Intelligence

By: Ifejesu Ogunleye

For all its potential benefits, artificial intelligence (AI) can cause an array of harms, from racial discrimination to injury or even death. Yet existing legal frameworks do not…

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…

Security and Privacy Risks in an Era of Hybrid Work

By: Ann Cleaveland, Grace-Alice Evans, Andrew Reddie, Isaac Vernon, Steven Weber

Following the abrupt shift to remote work forced by the COVID-19 pandemic, many companies have transitioned their workforces into “hybrid” roles, with workers splitting their time between their…

Cyber Oversight Effectiveness Development: A New Approach for Boards of Directors

Nearly every large public company has made significant investments in cybersecurity. But even where internal management of cyber risk appears strong, a board may worry that its oversight…

New CLTC White Paper Tackles Tech Industry’s Engagement Maximization

By: Aileen Nielsen

A new CLTC white paper, “Tech Has an Attention Problem,” by Aileen Nielsen, examines the potential harms of the technology industry’s widespread practice of “attention harvesting,” using algorithms…

Guidance for the Development of AI Risk and Impact Assessments

By: Louis Au Yeung

A new report from the Center for Long-Term Cybersecurity provides a set of recommendations to help governments and other organizations evaluate the potential risks and harms associated with…

Timelines: Design Activities for Surfacing Values and Ethics in Technologies

By: Richmond Wong

A new white paper authored by Richmond Wong, a postdoctoral fellow at the Center for Long-Term Cybersecurity, introduces “Timelines,” a group activity that can help organizations uncover potential…