Episode 37 — Control Data Collection and Consent: Privacy, Purpose Limits, and Minimization (Domain 3)
The integrity of an AI system begins with the data used to build it, making data collection and consent a critical focus for Domain 3. This episode explores the legal and ethical requirements for data acquisition, emphasizing the principles of purpose limitation and data minimization. For the AAIR certification, you must understand how to verify that data was collected with appropriate consent and that its use in AI training aligns with the original intent disclosed to the data subjects. We discuss the risks of using "scraped" data from the public web and the potential for legal liability if proprietary or sensitive information is inadvertently included in training sets. Best practices include implementing robust data tagging and lineage tracking to ensure that if consent is withdrawn, the affected data can be identified and removed from the system. By enforcing strict controls at the point of ingestion, organizations can mitigate the risk of regulatory fines and protect their reputation as responsible data stewards. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
