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
- Governance
- Responsible AI
- Regulation and Legal Compliance
- Governance Risk Management and Compliance
- Compliance Management
- Data Ethics
- Data Management
- Regulatory Requirements
- Risk Analysis
- Decision Intelligence
- Stakeholder Analysis
- Law, Regulation, and Compliance
- Technology Strategies
- Stakeholder Management
- Data Governance
- Risk Management
- Stakeholder Engagement
- Cost Benefit Analysis
- Leadership and Management
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Status: PreviewNortheastern University
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Reviewed on Apr 12, 2025
Really helpful and informative exposure to AI governance topics.
Reviewed on Jul 20, 2024
Government control of AI is important, so that they can ensure everyone is acting in their best interests.
Reviewed on Feb 25, 2026
A good start to the world of AI Governance and regulation




