Professor, Communication & Media and Political Science
Generative AI: Shaping Work and Tasks
What You'll Learn
- Classify key ways that AI might influence workplace tasks
- Highlight the impact of generative AI for different types of work
- Examine the appropriate use cases for generative AI
- Discuss how AI might change the distributions of tasks within jobs
7 Modules
7 Hours
1 hr per module (approx.)
Rating
About Generative AI: Shaping Work and Tasks
Although it’s too soon to know all of the ways artificial intelligence will shape our future, we have seen recent trends within certain industries. “Generative AI: Shaping Work and Tasks,” looks at the potential impacts generative AI could have within spaces like education, marketing, and journalism. Recognizing that jobs in a contemporary workplace consist of multiple responsibilities, we consider the exposure of different kinds of tasks to generative AI. You will explore the potential for AI augmentation or replacement of workers’ tasks to shape aspects of their jobs, while also examining some domains that are likely to remain distinctly human endeavors. By thinking through these factors, this course will provide you with a framework for conceptualizing the implications of AI in your workplace.
This is the second course in “Navigating Disruption: Generative AI in the Workplace,” a course series on ways to respond to new advances in artificial intelligence in the workplace and our lives.
Skills You'll Gain
- Adaptability
- AI Innovation
- Change Management
- Critical Thinking
- Decision Making
- Ethical AI
- Generative Artificial Intelligence
- Responsible AI
- Strategic Thinking
What You'll Earn
- Certificate of Completion:
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Welcome Message
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Course Schedule
Module 1: AI and the Workplace
- Video: Series Overview & Course Introduction
- Reading: Course Syllabus
- Discussion Prompt: Consider AI & Your Workplace
- Reading: Pre-Course Survey
- Video: Workplaces, Jobs, and Tasks
- Reading: Exposure to AI Across Jobs
- Discussion Prompt: React to Pew Research Center Report
- Reading: Establishing a Framework for Considering Impact
Module 2: AI & the Future of Journalism
- Video: State of Journalism & The Jobs Involved
- Video: AI in the Role of the Investigative Journalist
- Video: AI for Newspaper Editors
- Video: AI in the Back End
Module 3: AI in Education
- Video: State of Education & The Jobs Involved
- Reading: UNESCO -- AI in Education
- Discussion Prompt: Reflecting on UNESCO's AI Report
- Video: AI for a High School Teacher
- Video: AI & Curriculum Development
- Video: Student Uses of AI
Module 4: AI in Marketing
- Video: State of Marketing & The Jobs Involved
- Reading: AI & the Market Research Industry
- Discussion Prompt: Evaluating the Qualtrics Report on Marketing
- Video: AI & Market Research
- Video: AI & Graphic Design
- Video: AI in Messaging Campaigns
Module 5: AI in Your Workplace
- Reading: Activity: AI in Your Workplace
- Reading: Introduction to the Gamut Gallery
- App Item: AI in Your Workplace Reflections
- Reading: Active Discussion with AI on Integration
- Discussion Prompt: Assessing AI's Projections
Module 6: AI Applications and Context
- Reading: AI's Economic Potential
- Video: AI Applications and Context
Module 7: Linking Workplaces, Jobs, and Tasks
- Video: Course Conclusion
- Reading: Respond to a Peer
- Reading: Post-Course Survey
- Quiz: Honor Check for Assignment Completion - Graded Assignment
Grading Policy
To complete this course, you must pass the single graded assignment with a score of 80% or higher. The course grade is based on the module 7 quiz, which is worth 100% of your final grade.
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
We suggest taking Course 1 before taking this course
