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
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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
- Risk Analysis
- Stakeholder Management
- Regulatory Requirements
- Technology Strategies
- Law, Regulation, and Compliance
- Risk Management
- Stakeholder Analysis
- Cost Benefit Analysis
- Responsible AI
- Compliance Management
- Data Ethics
- Regulation and Legal Compliance
- Governance Risk Management and Compliance
- Continuous Monitoring
- Data Management
- Leadership and Management
- Governance
- Data Governance
- Stakeholder Engagement
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Reviewed on Feb 25, 2026
A good start to the world of AI Governance and regulation
Reviewed on Apr 11, 2025
the content was good but Coursera experience was horrible
Reviewed on Apr 12, 2025
Really helpful and informative exposure to AI governance topics.





