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 Responsible Generative AI Specialization

Instructor: Merve Hickok
11,466 already enrolled
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118 reviews
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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
Skills you'll gain
- Cost Benefit Analysis
- Risk Analysis
- Data Management
- Decision Intelligence
- Stakeholder Analysis
- Responsible AI
- Data Ethics
- Regulation and Legal Compliance
- Governance Risk Management and Compliance
- Risk Management
- Stakeholder Engagement
- Compliance Management
- Governance
- Data Governance
- Stakeholder Management
- Regulatory Requirements
- Law, Regulation, and Compliance
- Technology Strategies
- Leadership and Management
Tools you'll learn
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Reviewed on Apr 13, 2025
Really helpful and informative exposure to AI governance topics.
Reviewed on Jul 21, 2024
Government control of AI is important, so that they can ensure everyone is acting in their best interests.
Reviewed on Feb 26, 2026
A good start to the world of AI Governance and regulation




