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There are 3 modules in this course
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.
Welcome to the course! In this module, we will begin with an overview of this third course in the Navigating Disruption series, Generative AI Integration: Effects on Labor and Workforce. After considering your workplace's readiness for AI, we'll explore AI impacts on jobs broadly and what we should expect to see. Let’s get started!
What's included
2 videos3 readings1 discussion prompt
Show info about module content
2 videos•Total 17 minutes
Series Overview & Course Introduction•7 minutes
Workplace Impacts•9 minutes
3 readings•Total 35 minutes
Course Syllabus •10 minutes
Pre-Course Survey•10 minutes
What to Expect from AI•15 minutes
1 discussion prompt•Total 15 minutes
Appraise Your Workplace’s Readiness •15 minutes
Past & Future of Knowledge Work
Module 2•1 hour to complete
Module details
In this module, we begin by considering the traditional value and work of white-collar jobs. Through understanding the value and outputs of white-collar jobs, we will then evaluate the ways in which AI will destabilize previously "safe" jobs. Armed with these evaluations, we'll ponder the question: are knowledge workers replaceable, and if so, what would the look like?
What's included
5 videos2 readings
Show info about module content
5 videos•Total 34 minutes
Traditional Value of Knowledge Work •5 minutes
Making Sense of AI Knowledge Work Outputs•7 minutes
Are Knowledge Workers Replaceable?•7 minutes
What Work Needs to Get Done, and By Whom?•6 minutes
Responsibilities of Workers and Firms•8 minutes
2 readings•Total 30 minutes
How ChatGPT Will Destabilize White-Collar Work•15 minutes
The AI-Ready Workforce: How Leaders and Workers Can Prepare for a Reshaped Future of Work•15 minutes
Redefining Relationships
Module 3•3 hours to complete
Module details
In this final module, we'll examine the changing dynamics in the workplace that must be re-evaluated with the adoption of AI. We'll review AI policies from a variety of industries, and utilize these as the inspiration for drafting our own AI policies. You'll close this course by sharing your AI policy with your peers, and then by considering what the past tells us about our present reliance on and use of AI in our workplaces.
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.