The Recommended Readings is a growing a list of books and scholarly articles across privacy, access, and allied domains that can help busy data protection professionals improve their skills, broaden their perspective, and feed their curiosity.

2021-2022 Annotated Ontario Freedom of Information and Protection of Privacy Acts
Legislation, Privacy, Privacy Law
A Matter of Facts: The Value of Evidence in an Information Age
Access to Information, Records Management, Technology
Affaires privées : aux sources du capitalisme de surveillance
Artificial Intelligence, Big Data, Civil Liberties, Privacy Practice, Surveillance
Algorithms of Oppression: How Search Engines Reinforce Racism
Artificial Intelligence, Big Data, Civil Liberties, Privacy Practice, Public Policy, Surveillance
Anonymizing Health Data: Case Studies And Methods To Get You Started
Big Data, Health, Privacy Practice
Architects of Intelligence: The truth about AI from the people building it
Artificial Intelligence, Big Data, Public Policy, Surveillance
Atlas of Ai: Power, Politics, and The Planetary Costs of Artificial Intelligence
Artificial Intelligence, Civil Liberties, Privacy, Public Policy
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Artificial Intelligence, Big Data, Civil Liberties, Ethics, Surveillance
Behind The Enigma: The Authorized History of GCHQ, Britain’s Secret Cyber-intelligence Agency
Big Data, Civil Liberties, Cybersecurity, Legislation, Surveillance
Between Truth And Power: The Legal Constructions of Informational Capitalism
Law, Privacy, Public Policy, Technology
Blacked Out: Government Secrecy in the Information Age
Access to Information, Legislation, Public Policy
Cloudmoney: Cash, Cards, Crypto and the War for our Wallets
Artificial Intelligence, Privacy, Surveillance, Technology
Compliance with Canadian Data Protection Laws: Are retailers measuring up?
Big Data, Compliance, Privacy Practice, Records Management
Contract Redlining Etiquette: How to leverage the power of redlines for faster...
Compliance, Privacy Practice
Counting: How We Use Numbers to Decide What Matters
Artificial Intelligence, Big Data, Civil Liberties, Surveillance