Generative AI Integration: Effects on Labor and Workforce

Overview

Class Central Tips

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.

Syllabus

Getting Started

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!

Past & Future of Knowledge Work

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?

Redefining Relationships

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.