This course is for technical, business, and compliance professionals who work with counsel on privacy and artificial intelligence issues and need a working understanding of the governing laws. You will learn how to analyze a privacy law by asking who it covers, what information it protects, and what rights and duties it creates, and apply that approach to the GDPR, including its processing principles, key definitions, data subject rights, and the responsibilities of controllers and processors. You will then compare how the GDPR, HIPAA, and California’s breach notification law handle data breaches, which is where privacy law meets cybersecurity. Next, you will see how privacy laws are put into practice in a privacy policy and build a shared vocabulary for machine learning, including training, neural networks, and deep learning. You will finish with the EU AI Act, covering its risk categories, the roles of providers and deployers, prohibited and high-risk systems, and the quality management and documentation duties of providers.

Data Privacy and AI Law: GDPR, HIPAA, and the EU AI Act
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Data Privacy and AI Law: GDPR, HIPAA, and the EU AI Act
This course is part of Data Privacy and AI Law: Compliance for Non-Lawyers Specialization

Instructor: Ken Suh
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What you'll learn
Compare how the GDPR, HIPAA, and California’s breach law define protected data, individual rights, and breach notification duties.
Apply GDPR concepts such as controller, processor, consent, and processing to identify obligations in a privacy policy.
Explain core machine learning concepts and evaluate how the EU AI Act classifies AI systems by risk and what it requires of providers.
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November 2026
16 assignments
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