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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Intermediate level
Recommended experience
3 hours to complete
Flexible schedule
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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
- Compliance Management
- Stakeholder Management
- Cost Benefit Analysis
- Risk Analysis
- Leadership and Management
- Decision Intelligence
- Stakeholder Analysis
- Artificial Intelligence
- Governance
- Responsible AI
- Data Ethics
- Regulatory Requirements
- Risk Management
- Regulation and Legal Compliance
- Stakeholder Engagement
- Data Management
- Data Governance
- Law, Regulation, and Compliance
- Technology Strategies
Tools you'll learn
Details to know
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Assessments
4 assignments
Taught in English
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This course is part of the Responsible Generative AI Specialization
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