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URL: https://www.coursera.org/learn/generative-ai-labor-and-the-future-of-work

⇱ Generative AI: Labor and the Future of Work | Coursera


Generative AI: Labor and the Future of Work

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Generative AI: Labor and the Future of Work

This course is part of multiple programs.

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Gain insight into a topic and learn the fundamentals.
4.7

74 reviews

Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.7

74 reviews

Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explore scenarios for the future of work

  • Discuss the impact generative AI could have on labor and business

  • Make informed assessments about labor involvement in generative AI technologies

Details to know

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Assessments

4 assignments

Taught in English

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  • Earn a shareable career certificate

There are 2 modules in this course

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 β€œGenerative 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 β€œfuture 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.

What's included

3 videos4 readings2 assignments2 discussion prompts

3 videosβ€’Total 17 minutes
  • Unseen Labor in Generative AIβ€’6 minutes
  • Data Labelingβ€’4 minutes
  • Content Moderation & Human Feedbackβ€’7 minutes
4 readingsβ€’Total 26 minutes
  • Welcome to the Course & Course Syllabusβ€’10 minutes
  • Help Us Learn About You!β€’5 minutes
  • Module Introductionβ€’1 minute
  • What comes to mind when we say generative AI and future of work?β€’10 minutes
2 assignmentsβ€’Total 11 minutes
  • Honor Codeβ€’1 minute
  • Knowledge Checkβ€’10 minutes
2 discussion promptsβ€’Total 20 minutes
  • Introduce Yourselfβ€’10 minutes
  • Reflection: Labor and Data Quality Risks β€’10 minutes

What's included

5 videos5 readings2 assignments1 discussion prompt

5 videosβ€’Total 32 minutes
  • Labor and Market Forecastsβ€’6 minutes
  • Augment vs Reallocate vs Displaceβ€’7 minutes
  • Labor Readinessβ€’4 minutes
  • Labor Reskilling & Deskillingβ€’6 minutes
  • Digital Divideβ€’9 minutes
5 readingsβ€’Total 37 minutes
  • Module Introductionβ€’2 minutes
  • Supplemental Resourcesβ€’10 minutes
  • Post-course Surveyβ€’5 minutes
  • Staying Current with Responsible Generative AI and Governanceβ€’10 minutes
  • Continue your AI education with the AI Collection from Michigan Onlineβ€’10 minutes
2 assignmentsβ€’Total 11 minutes
  • Honor Codeβ€’1 minute
  • Knowledge Checkβ€’10 minutes
1 discussion promptβ€’Total 10 minutes
  • Reflection: Future Implications of GenAIβ€’10 minutes

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Instructor

Instructor ratings
4.8 (14 ratings)
University of Michigan
9 Coursesβ€’25,008 learners

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Showing 3 of 74

TW
Β·

Reviewed on Sep 21, 2024

Even if you're already working with AI, this course offers new facts to learn about its current state as well as future possibilities. Discover the evolving roles we can play in the development of AI.

AL
Β·

Reviewed on Jul 20, 2024

The future of work can be codetermined by those workers who have the analytical and creative skills, to think for themselves.

KA
Β·

Reviewed on May 25, 2025

Overall, the course delivers valuable discussions on AI’s role in shaping the future of work, while leaving room for continued exploration. What aspects did you find most insightful?

Frequently asked questions

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