Privacy, Security, and Accountability
Articles
- Accountability in artificial intelligence: what it is and how it worksNovelli, C., Taddeo, M. & Floridi, L. AI & Soc (2023).
- How transparency modulates trust in artificial intelligenceJohn Zerilli, Umang Bhatt, Adrian Weller, Patterns, 2022
- Primary Care Physicians' and Patients' Perspectives on Equity and Health Security of Infectious Disease Digital SurveillanceChi Wai Wong, W., Ivy Yan Zhao, Ye Xuan Ma, Wei Nan Dong, Jia Liu, Qin Pang, Xiao Qin Lu, Molassiotis, A., & Holroyd, E., Annals of Family Medicine, 2023
- Protecting privacy in an AI-driven worldCameron F. Kerry, Brookings, Feb. 10, 2020
- Regulating AI Through Data PrivacyEli MacKinnon and Dr. Jennifer King, Standford University HAI, Jan. 11, 2022
- The Right to Explanation, ExplainedKaminski, M. E., Berkeley Technology Law Journal, 2019
Videos
- The End of Privacy, How AI Developed a Mind of Its OwnVideo from Stanford GSB
- Ethics of AI: Challenges and GovernanceVideo from UNESCO
- Towards safe, reliable and trustworthy AI - Pushmeet Kohli, GoogleVideo from the Alan Turing Institute
Books in the Library
Artificial Intelligence and Software Testing by
AI presents a new paradigm in software development, representing the biggest change to how we think about quality and testing in decades. Many of the well known issues around AI, such as bias, manifest themselves as quality management problems. This book, aimed at testing and quality management practitioners who want to understand more, covers trustworthiness of AI and the complexities of testing machine learning systems, before pivoting to how AI can be used itself in software test automation.
