Generative AI Integration: Effects on Labor and Workforce
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Generative AI Integration: Effects on Labor and Workforce
This course is part of Navigating Disruption: Generative AI in the Workplace Specialization
Instructor: Josh Pasek
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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
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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
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
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
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
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.
What's included
5 videos4 readings1 assignment1 app item1 discussion prompt
5 videos•Total 31 minutes
- Worker-Workplace Relationship•5 minutes
- Firm-Consumer Relationship•5 minutes
- Transparency in a Time of Change•8 minutes
- Risks, Benefits, and Safeguards•7 minutes
- A Look to the Past•7 minutes
4 readings•Total 45 minutes
- Activity: Compare & Contrast AI Policies•15 minutes
- 7 Things to Include in a Workplace Generative AI Policy•10 minutes
- Introduction to the Gamut Gallery•10 minutes
- Post-Course Survey•10 minutes
1 assignment•Total 5 minutes
- Honor Check for Assignment Completion•5 minutes
1 app item•Total 60 minutes
- Designing Workplace Standards for AI Integration•60 minutes
1 discussion prompt•Total 15 minutes
- AI Policy Analysis•15 minutes
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