Learning Unit 6: Privacy & Data Governance

This unit explores privacy and data governance in AI. Students will learn about key privacy concepts, re-identification risks, and different ways of protecting personal data while maintaining data utility. We will look at practical governance measures such as impact assessments, privacy-by-design, access controls, and documentation. Through examples and exercises, students will learn how to evaluate data practices against legal, ethical, and technical standards and how good documentation can make data choices and risks easier to understand and review.

Lecture

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Exercises

Task 1 - Privacy and Data Governance

This learning unit discusses the case of Clearview AI, a company that scraped billions of images from social media and the open web without consent to built an immense facial-recognition system sold to businesses, individuals and primarily: local law enforcement.

Read these articles to understand more about Clearview AI's neglient actions: Clearview AI was fined £7.5m for brazenly harvesting your data – does it care? and What Happens When Your Social Media Photos End Up in the Hands of Police.

Resources for Task 1
ENKIS Berlin EU BMFTR FU

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