Generative AI vs. Predictive AI: What’s the Difference?
July 24, 2024
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This course is part of Responsible Generative AI Specialization
Instructor: Merve Hickok
1,549 already enrolled
Included with
(22 reviews)
Recommended experience
Intermediate level
No prerequisites are required.
(22 reviews)
Recommended experience
Intermediate level
No prerequisites are required.
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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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.
5 videos3 readings1 assignment2 discussion prompts
3 videos1 reading2 assignments1 discussion prompt
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!
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