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Looking at AI Through the Lens of a Chief Economist (Walmart, Uber, Lyft)

Posted Oct 18, 2022 | Views 297
# TransformX 2022
# Keynote
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John List
Kenneth C. Griffin Distinguished Service Professor in Economics @ University of Chicago

John A. List is the Kenneth C. Griffin Distinguished Service Professor in Economics at the University of Chicago. His research focuses on combining field experiments with economic theory to deepen our understanding of the economic science. In the early 1990s, List pioneered field experiments as a methodology for testing behavioral theories and learning about behavioral principles that are shared across different domains. To obtain data for his field experiments, List has made use of several different markets, including charitable fundraising activities, the sports trading card industry, the ride-share industry, and the education sector, to highlight a few. This collective research has lead to collaborative work with several different schools and charities, as well as firms including: Lyft, Uber, United Airlines, Virgin Airlines, Humana, Sears, Kmart, Facebook, Google, General Motors, Tinder, Citadel, Walmart and several non-profits. His research includes over 200 peer reviewed journal articles and several published textbooks. He co-authored the international best seller, The Why Axis, in 2013, and is author to a new book, The Voltage Effect, slated to come out in early 2022. List was elected a Member of the American Academy of Arts and Sciences in 2011, and a Fellow of the Econometric Society in 2015. List received the 2010 Kenneth Galbraith Award, the 2008 Arrow Prize for Senior Economists for his research in behavioral economics in the field, and was the 2012 Yrjo Jahnsson Lecture Prize recipient. He is a current Editor of the Journal of Political Economy.

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SUMMARY

John List is a Professor at the University of Chicago and the Chief Economist at Walmart; he formerly served as Chief Economist at Lyft and Uber. Economists look at machine learning through a different lens. They identify causal effects, detect heterogeneity, and generally want to improve the bottom line and make the world better. List will take you through his experiences with machine learning and share the economics of apologies at Uber, the value of time at Lyft, and how the voltage effect impacts machine learning at scale. The Voltage Effect: How to Make Good Ideas Great and Great Ideas Scale is List’s latest best-selling book. To obtain data for the field experiments he pioneered in the 1990s, List has used several different markets, including charitable fundraising activities, the sports trading card industry, the ride-share industry, and the education sector, to highlight a few. This collective research has led to collaborative work with several schools, charities, and businesses, including Humana, United Airlines, Sears, General Motors, and many others. List’s research includes over 200 peer-reviewed journal articles and several published textbooks. He co-authored the international best seller, The Why Axis, in 2013. He is a current editor of The Journal of Political Economy.

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