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
This course is part of Responsible Generative AI Specialization
Instructor: Merve Hickok
Sponsored by PTT Global Chemical
(18 reviews)
Recommended experience
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
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There are 3 modules in this course
What's included
5 videos3 readings1 assignment2 discussion prompts
What's included
3 videos1 reading2 assignments1 discussion prompt
What's included
4 videos4 readings1 assignment
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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 Jul 1, 2024
This is an excellent course. It is well organized with precision instruction!
Recommended if you're interested in Data Science
Vanderbilt University
Fractal Analytics
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