Course Preview: Future of Work: Leading Modern Workplaces at Wharton

[Video Transcript] Future of Work: Leading Modern Workplaces at Wharton


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In the Future of Work program, we'll cover the following six modules. I'll start in this first module by introducing the forces affecting the current state of work. There are eight forces in the course materials,  but I'm going to focus on six of them. These will provide a lens through which you'll assess what's going on in your own organization and this is also a bit of a road map for the rest of the course content.  The two forces that I'm not going to cover these because artificial intelligence and machine learning are covered so thoroughly in two modules by my colleague, Sonny Tambe. 

So, in Module 1: Current State of Work, six of the eight forces. In the second module, Zeke Hernandez will focus on the increasingly global and mobile workforce and what it means for companies attempting to harness this talent in organizing their future workplaces. And Zeke will pay a lot of attention to the flow of human capital across geographic and national boundaries, immigration,  demographic trends, and the like. In the third module, I'll be back to talk about the relationship between technology and work and specifically between automation and employment levels and skills.  Then, in the fourth module, Sonny Tambe picks up those technology themes and extends them via his  Part 1 session on artificial intelligence and machine learning. 

This one's more on the basics of understanding what's different about artificial intelligence and machine learning including algorithmic management trends. In the fifth module, Lindsey Cameron will be examining how employment models and performance management are evolving in the digital era.  She'll talk a lot about the on-demand or gig economy, and how managers can successfully navigate those changes. And then, in the sixth module, Sonny Tambe will come back for Part 2 of his sequence on artificial intelligence and machine learning, this time focusing much more on how the HR function is going to be affected by those new technologies, and with a particular focus on hiring that all important activity through which organizations access new sources of talent. 

So, he'll talk about the advantages of algorithmic applications in hiring, concerns about bias, concerns about privacy, and the dilemma of explainability in AI HR applications which can become so important in these areas that are governed by law as much as they are by company policy. And then some of the emerging solutions to these problems. 

[End of Video Transcript]

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