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
- Data Ethics
- Decision Intelligence
- Stakeholder Analysis
- Data Management
- Law, Regulation, and Compliance
- Cost Benefit Analysis
- Artificial Intelligence
- Compliance Management
- Responsible AI
- Regulatory Requirements
- Data Governance
- Stakeholder Management
- Stakeholder Engagement
- Governance
- Risk Analysis
- Risk Management
- Regulation and Legal Compliance
- Technology Strategies
- Leadership and Management
Tools you'll learn
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There are 3 modules in this course
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.
What's included
5 videos3 readings1 assignment2 discussion prompts
5 videos•Total 26 minutes
- Why Governance•6 minutes
- Continuum of Governance Approaches •6 minutes
- Emerging Governance Frameworks•6 minutes
- Risk and Impact Assessments•4 minutes
- Prioritization•3 minutes
3 readings•Total 17 minutes
- Welcome to the Course & Course Syllabus•10 minutes
- Help Us Learn About You!•5 minutes
- Module Introduction•2 minutes
1 assignment•Total 1 minute
- Honor Code•1 minute
2 discussion prompts•Total 20 minutes
- Introduce Yourself•10 minutes
- Reflection: Governance Frameworks •10 minutes
What's included
3 videos1 reading2 assignments1 discussion prompt
3 videos•Total 25 minutes
- Strategic Alignment & Stakeholders•6 minutes
- Value and Cost•3 minutes
- Interview with Susannah Shattuck: Importance of GenAI Governance•16 minutes
1 reading•Total 2 minutes
- Module Introduction•2 minutes
2 assignments•Total 11 minutes
- Honor Code•1 minute
- Knowledge Check •10 minutes
1 discussion prompt•Total 10 minutes
- Reflection: Deployment Opportunities •10 minutes
What's included
4 videos4 readings1 assignment
4 videos•Total 19 minutes
- Build - Open Source - Integrate Decisions•5 minutes
- Model Access Considerations•3 minutes
- Transparency Considerations•7 minutes
- Risk Management & Use Case Restrictions•5 minutes
4 readings•Total 27 minutes
- Module Introduction•2 minutes
- Supplemental Resources •10 minutes
- Post-course Survey•5 minutes
- Staying Current with Responsible Generative AI and Governance•10 minutes
1 assignment•Total 10 minutes
- Knowledge Check •10 minutes
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Reviewed on Apr 11, 2025
the content was good but Coursera experience was horrible
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 Apr 12, 2025
Really helpful and informative exposure to AI governance topics.
Frequently asked questions
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