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AI Privacy & Governance Law Certificate

The Online AI Privacy & Governance in Law Certificate

AI regulation is no longer theoretical—it's here. The EU AI Act is setting global policy standards. State-level AI regulations are expanding. Federal agencies are increasing enforcement around algorithmic bias, data privacy, and AI transparency. Organizations across industries need professionals who can bridge technical AI expertise with regulatory and legal fluency.

The professionals who understand both the technology and the law are the ones leading AI governance initiatives, advising executives on AI risk, and building the frameworks that will define how their organizations deploy AI responsibly and competitively.

Master the legal, ethical, and regulatory frameworks shaping artificial intelligence.

Program Details

3 courses
Complete in as few as 6 months
100% online & asynchronous
Stackable to the MSL
No LSAT required
Start Term: Spring 2027

Master Legal Skills in AI, Privacy, and Compliance

Built for working professionals navigating legal complexity without a law degree. The online MSL from U. of I. delivers stackable credentials in high-demand areas including AI governance, cybersecurity, employment law, and business compliance. Start with a certificate or go straight to the full degree.

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AI Privacy & Governance in Law Certificate

This certificate equips you with the legal and regulatory knowledge to lead AI governance initiatives, navigate privacy compliance, and build ethical frameworks for responsible AI deployment.

LAW 540: AI Compliance (4 credits)

This course explores emerging legal frameworks governing artificial intelligence, including regulatory requirements, risk classifications, and compliance obligations. Students develop the ability to assess AI systems, evaluate governance strategies, identify regulatory gaps, and support responsible AI deployment through effective compliance planning and organizational oversight.

LAW 541: AI & Data Privacy (4 credits)

Students examine the intersection of artificial intelligence and data privacy through laws such as GDPR and CCPA. The course develops skills in conducting privacy impact assessments, evaluating AI data practices, analyzing breach scenarios, and implementing privacy protections that support responsible data governance and regulatory compliance.

LAW 542: AI Ethics & Bias (4 credits)

This course focuses on the ethical challenges associated with artificial intelligence, including fairness, transparency, accountability, and algorithmic bias. Students learn to identify sources of bias, evaluate ethical trade-offs, apply bias mitigation strategies, and support the development and deployment of equitable, trustworthy AI systems.

Faculty Spotlight

Brian Trackman, J.D.
Former SEC & CFTC Senior Legal Advisor on Emerging Technologies

Brian Trackman brings federal regulatory expertise directly into the classroom as a former senior legal advisor at the U.S. Securities and Exchange Commission (Division of Trading and Markets). At the SEC, Trackman advised on emerging technologies, IT systems, and served as the division's deputy data officer. He can teach you how regulators think about AI governance, what triggers enforcement action, and how to build compliance frameworks that hold up under scrutiny.

Meet the Faculty

Ready to Build Legal Expertise for Your Career?

Start your application to the MSL or a certificate program; or learn more about the program and how legal knowledge could help you reach your professional goals.

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Upcoming Admissions Deadlines

Jan

Final Deadline

January 10

Spring 2027

Jan

Classes Start

January 19