Responsible Generative AI

University of Michigan via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

4 weeks, 10 hours a week

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Overview

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“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.

Syllabus

Course 1: Generative AI: Fundamentals, Applications, and Challenges
Course 2: Generative AI: Impact on Business and Society
Course 3: Generative AI: Governance, Policy, and Emerging Regulation
Course 4: Generative AI: Labor and the Future of Work

Courses

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2 hours 44 minutes
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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 tools. In “Generative AI: Fundamentals, Applications, and Challenges,” you’ll discuss the potential benefits, uses, and challenges of a variety of applications for generative AI. Explore the impact these tools could have on business, operations, consumers, society, and the environment. Aspects of the course also dive into the general risks associated with this technology, including issues such as copyright infringement, outdated data, malicious attack surfaces, bias, and more. Throughout this course, you'll gain a strong baseline of knowledge for generative AI, one that will allow you to explore further considerations about its impact on businesses and society.
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2 hours 47 minutes
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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.
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2 hours 56 minutes
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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 technological aspects of these systems to evaluate how they may impact the way we adopt, trust, or work with these tools. This course builds on your knowledge of the benefits, challenges, and potential risks of AI as we begin integrating these tools into our organizations or communities. It includes considerations relevant to business operations, impact on consumers, as well as wider implications for citizens, public safety, and the environment. By the end of this course, you’ll be able to evaluate the global and local implications specific to generative AI systems for informed decision-making in your role.
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2 hours 44 minutes
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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, organizations are finding new ways to augment their work, impacting the number and types of jobs we can expect in the future. In “Generative AI: Labor and the Future of Work,” you’ll explore how generative AI can support workers in all industries, as well as the labor that goes into developing and managing these systems. Explore what the “future of work” could mean for both employees and employers and how these systems can impact work quality, creativity, and the labor market. You’ll also look at how the global digital divide could impact tool adoption for different groups across the world. By analyzing the adoption and implementation of generative AI in the workplace, you will better understand how these tools could shift how we work together.

Taught by

Merve Hickok

Reviews

5.0 rating, based on 1 Class Central review

4.7 rating at Coursera based on 337 ratings

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Anonymous

Completing the Responsible Generative AI Specialization at the University of Michigan was an enriching experience. The insightful lectures and comprehensive curriculum provided a thorough understanding of generative AI and its ethical implications. The course modules on governance and policy were particularly enlightening, highlighting the importance of responsible AI practices. This specialization is perfect for professionals aiming to stay ahead in the rapidly evolving field of AI. I highly recommend it to anyone looking to deepen their knowledge of AI ethics and governance.

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Generative AI: Fundamentals, Applications, and Challenges

Generative AI: Governance, Policy, and Emerging Regulation

Generative AI: Impact on Business and Society

Generative AI: Labor and the Future of Work

Taught by

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