Back to Generative AI: Governance, Policy, and Emerging Regulation
University of Michigan

Generative AI: Governance, Policy, and Emerging Regulation

In “Generative AI: Governance, Policy, and Emerging Regulation,” you’ll discuss governance considerations for generative artificial intelligence (AI) systems deployed in an organization and explore data management practices, transparency methods, risk and impact assessments, and management approaches that ensure generative AI is developed and deployed responsibly. The course also provides an overview of the current generative AI policy and regulatory landscapes within the United States, European Union, and G7 countries. By exploring governance issues and the current regulatory landscape regarding AI, you’ll gain a deeper understanding of how to integrate, manage, and monitor AI within your organization.

Status: Data Ethics
Status: Decision Intelligence
IntermediateCourse3 hours

Featured reviews

SS

4.0Reviewed Feb 26, 2026

A good start to the world of AI Governance and regulation

AL

4.0Reviewed Jul 21, 2024

Government control of AI is important, so that they can ensure everyone is acting in their best interests.

OC

5.0Reviewed Apr 13, 2025

Really helpful and informative exposure to AI governance topics.

MK

5.0Reviewed Apr 12, 2025

the content was good but Coursera experience was horrible

RL

5.0Reviewed Jul 2, 2024

This is an excellent course. It is well organized with precision instruction!

All reviews

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Dr. Harry Petaway
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