Episode 68 — Promote accountability, fairness, and transparency across the full data life cycle (Task 19)
This episode teaches how to promote accountability, fairness, and transparency across the full data life cycle, because CDPSE expects you to think about privacy outcomes as continuous obligations, not isolated checkpoints. You’ll learn how accountability shows up in ownership, decision trails, and evidence that controls work; how transparency becomes accurate, timely communication of collection, use, sharing, and retention; and how fairness becomes disciplined handling of impacts, bias pathways, and disproportionate harm risks, especially in analytics and automated decision contexts. We’ll walk through scenarios like expanding data use for personalization, introducing new data sources, or deploying models that affect customer experience, and you’ll practice selecting actions that strengthen governance while producing operational mechanisms such as review forums, measurable controls, and clear documentation. You’ll also learn to spot exam distractors that promise fairness or transparency without specifying how the organization will implement and verify them. 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.
