Professor, Communication & Media and Political Science
Generative AI Integration: Effects on Labor and Workforce
What You'll Learn
- Identify ways generative AI might alter managerial work
- Anticipate challenges that generative AI can pose for workers and management
- Forecast implications of AI for interactions between companies and customers
- Explore generative AI’s influence on who takes responsibility for AI products and worker’s autonomy
3 Modules
6 Hours
2 hrs per module (approx.)
Rating
About Generative AI Integration: Effects on Labor and Workforce
In “Generative AI Integration: Effects on Labor and Workforce,” you’ll take a look at the larger impact of artificial intelligence on jobs, workplaces, and the relationships between firms and clients. In this course, we identify the disruptions that are likely to occur at each of these levels and highlight the need for firms to innovate, while working to ensure that AI efforts build value and are well-directed. You’ll learn how to ask the right questions when implementing AI in your workplace, and the importance of developing strong policies to help ensure workplace culture is improved when integrating generative AI.
This is the third 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
- AI Innovation
- Business Process Management
- Decision Making
- Diversity Management
- Generative AI Agents
- Responsible AI
- Workplace Inclusivity
What You'll Earn
- Certificate of Completion:
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Welcome Message
Welcome to Generative AI Integration: Effects on Labor and Workforce, an online course and the third course in the Navigating Disruption: Generative AI in the Workplace series. This course examines how generative AI reshapes jobs, organizations, and firm–client relationships. You will explore workforce disruption, policy design, and strategic questions leaders must ask to ensure AI adoption builds value while strengthening workplace culture.
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: Getting Started
- Video: Series Overview & Course Introduction
- Reading: Course Syllabus
- Discussion Prompt: Appraise Your Workplace’s Readiness
- Reading: Pre-Course Survey
- Video: Workplace Impacts
- Reading: What to Expect from AI
Module 2: Past & Future of Knowledge Work
- Video: Traditional Value of Knowledge Work
- Video: Making Sense of AI Knowledge Work Outputs
- Reading: How ChatGPT Will Destabilize White-Collar Work
- Video: Are Knowledge Workers Replaceable?
- Video: What Work Needs to Get Done, and By Whom?
- Video: Responsibilities of Workers and Firms
- Reading: The AI-Ready Workforce: How Leaders and Workers Can Prepare for a Reshaped Future of Work
Module 3: Redefining Relationships
- Video: Worker-Workplace Relationship
- Video: Firm-Consumer Relationship
- Reading: Activity: Compare & Contrast AI Policies
- Discussion Prompt: AI Policy Analysis
- Video: Transparency in a Time of Change
- Reading: 7 Things to Include in a Workplace Generative AI Policy
- Video: Risks, Benefits, and Safeguards
- Reading: Introduction to the Gamut Gallery
- App Item: Designing Workplace Standards for AI Integration
- Video: A Look to the Past
- Reading: Post-Course Survey
Grading Policy
To pass the course and earn a certificate, learners must complete the required graded assignment with a score of 80% or higher. The module 3 quiz, “Designing Workplace Standards for AI Integration,” comprises 100% of the course 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 and Course 2 before taking this course
