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.
Generative AI: Governance, Policy, and Emerging Regulation
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Generative AI: Governance, Policy, and Emerging Regulation
This course is part of multiple programs.
Instructor: Merve Hickok
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130 reviews
Intermediate level
Recommended experience
3 hours to complete
What you'll learn
Understand emerging governance expectations for businesses developing and implementing generative AI
Identify relevant strategy considerations, costs, and key stakeholders for generative AI projects
Apply responsible AI analysis to generative AI decisions
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Assessments
4 assignments
Taught in English
Flexible schedule
Learn at your own pace
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Showing 3 of 130
OC
5.0
Reviewed on Apr 12, 2025
Really helpful and informative exposure to AI governance topics.
AL
4.0
Reviewed on Jul 20, 2024
Government control of AI is important, so that they can ensure everyone is acting in their best interests.
SK
5.0
Reviewed on Nov 2, 2026
Clear content, easy to understand. This is purely a basic introduction but much needed one!
