We are delighted to invite you to our forthcoming event in the Bocconi Assembly for Innovation and Cooperation (BAIC) Webinar Series on Thursday, 11 June 2020 at 4pm (CEST)/10am (EDT).
Professor Peter Cappelli will be presenting his research, "The AI Challenge to Human Resources", co-authored with Prasanna Tambe (University of Pennsylvania) and Valery Yakubovich (ESSEC Business School). Peter's bio and webinar abstract are detailed below.
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Peter Cappelli is the George W. Taylor Professor of Management at The Wharton School, University of Pennsylvania, and Director of Wharton's Center for Human Resources. He is also a Research Associate at the National Bureau of Economic Research in Cambridge, MA. He serves on Global Agenda Council on Employment for the World Economic Forum and a number of advisory boards.
Professor Cappelli's recent research examines changes in employment relations in the U.S. and their implications. His books include The New Deal at Work: Managing the Market-Driven Workforce, Talent Management: Managing Talent in an Age of Uncertainty (named a "best business book" for 2008 by Booz-Allen), The India Way: How India's Top Business Leaders are Revolutionizing Management (with colleagues), and Managing the Older Worker (with AARP CEO Bill Novelli). His most recent publications include Why Good People Can't Get Jobs (2012), which identifies shortfalls with current hiring practices and training practices and has been excerpted in Time Magazine (online) and reviewed in the Wall Street Journal, The New Yorker, and most major business publications. He is also the author of Will College Pay Off – A Guide to the Most Important Financial Decision You'll Ever Make (2015), and co-author of the forthcoming Fortune Makers: The Leaders Creating China's Great Global Companies.
The heart of contemporary Artificial Intelligence efforts are algorithms based on machine learning principles that optimize predictions of future outcomes. Nowhere are these tools poised to have bigger effects than in the tasks of managing employees – selection decisions predicting who should be hired, what career progression options make sense, what wellness practices are best for employees, and so forth. At the heart of these algorithms are optimization principles. These fly in the face of the factors that underpin contemporary management practices, as they focus on matters of fairness and equity, relationships, and so forth. In hiring, for example, what happens if a hiring algorithm turns out to be a great predictor of job performance, but it is based on attributes such as eye and skin color? More broadly, if many of the basic tasks of supervisors can now be performed by algorithms, such as work schedules, performance assessments, and so forth, what happens to the role of the supervisor and to our notions that the relationship between them and their subordinates is the "glue" that builds commitment to the organization? We will consider these challenges and possible paths forward.
We hope you can join us for this and other seminars in this series. Other confirmed speakers include Russ Coff, Ranjay Gulati, Rebecca Henderson and Enrico Moretti. Further details are available on the website.
Pete and Tracy
Pedro Aceves and Tracy Anderson
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