Generative AI: Governance, Policy, and Emerging Regulation
This course is part of Responsible Generative AI.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Responsible Generative AI Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand emerging governance frameworks for generative AI
Identify key stakeholders and strategic considerations for AI projects
Apply responsible AI principles to generative AI decisions
Assess risks and impacts of AI implementation
Navigate regulatory requirements across different jurisdictions
Skills you'll gain
This course includes:
1.12 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This course explores governance considerations for generative AI systems within organizations. Students learn about data management practices, transparency methods, risk assessments, and responsible AI development approaches. The curriculum covers current generative AI policy and regulatory landscapes across the United States, European Union, and G7 countries, helping professionals understand how to effectively integrate, manage, and monitor AI systems while ensuring compliance with emerging regulations.
Introduction to the Course
Module 1 · 1 Hours to complete
Strategic Alignment, Cost Analysis, and Stakeholder Mapping
Module 2 · 47 Minutes to complete
Applying Responsible AI Principles to Generative AI Decisions
Module 3 · 55 Minutes to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Responsible Generative AI
Instructor
Leading Expert in AI Ethics and Data Science at the University of Michigan
Merve Hickok is a distinguished lecturer in data science ethics at the University of Michigan's School of Information and serves as the Responsible Data and AI Advisor at the Michigan Institute for Data Science. She is the founder of AIethicist.org, a platform dedicated to advancing understanding and implementation of ethical practices in artificial intelligence. With over 15 years of experience in senior roles within Fortune 100 companies, Merve has become a globally recognized expert in AI policy, ethics, and governance. Her work emphasizes the impact of AI systems on individual rights, democratic values, and social justice, making her a key figure in discussions surrounding responsible AI development.Merve's contributions to the field have been widely featured in prominent media outlets such as The Guardian, CNN, and Forbes. She is actively involved in shaping AI policy on a global scale, advising organizations like the European Commission and UNESCO. In addition to her teaching responsibilities, Merve has provided testimony to various governmental bodies, including the U.S. Congress, on matters related to AI governance. Her dedication to promoting ethical standards in technology has earned her numerous accolades, including recognition as one of the 100 Brilliant Women in AI Ethics™ and the Lifetime Achievement Award for Responsible AI Leader of the Year.
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Frequently asked questions
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