Responsible Generative AI
Description
“Responsible Generative AI” is a Specialization exploring the possibilities and risks of generative artificial intelligence (AI). You will establish a comprehensive understanding of the impact of this technology. The series will help you identify impacts relevant to business operations, consumers, society, the labor market, and the environment. Throughout each course, you’ll explore both the use cases and limitations of generative AI to explain business and societal considerations. This course series focuses on both new concerns stemming from this emerging technology and the amplification effects generative AI can have on existing concerns. By gaining a deeper understanding of responsible AI use, you’ll be able to make more informed decisions about the development, use, and governance of generative AI systems within your organization.
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Subjects
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Language
English
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Duration
4 weeks
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Status
Available
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U-M Credit Eligible
No
Instructor
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Merve Hickok
Data Science Ethics Lecturer, School of Information
University of Michigan
Courses (4)
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Learn moreGenerative AI: Fundamentals, Applications, and Challenges
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1 week
The rapidly evolving landscape of generative artificial intelligence (AI) means that both novice and skilled users alike should be aware of the proper applications and challenges of these powerful too -
Learn moreGenerative AI: Impact on Business and Society
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1 week
Generative artificial intelligence (AI) systems can have a range of impacts on both business and society. In “Generative AI: Impact on Business and Society,” you’ll consider the social and technologic -
Learn moreGenerative AI: Governance, Policy, and Emerging Regulation
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1 week
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 da -
Learn moreGenerative AI: Labor and the Future of Work
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1 week
This course gives a broad overview of the impact that generative artificial intelligence (AI) could have on jobs and how it can be used to support everyday tasks. As the use of generative AI increases
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