Decision-Making Skills in an AI World: Lessons from Online Chess

43 Pages Posted: 10 Mar 2020

See all articles by Milan Miric

Milan Miric

University of Southern California, Marshall School of Business

Jinhing Lu

University of Southern California

Florenta Teodoridis

University of Southern California - Marshall School of Business

Date Written: February 15, 2020

Abstract

The recent surge in AI technologies places a premium on decision-making skills as a complement to the technology. Yet, little is known about how decision-making skills are developed. We theorize and provide empirical evidence of the benefits of experience – intensity, diversity and difficulty – for developing quality decision-making skills, evaluated as such relative to the performance of a mature AI – a technology with performance superior to that of humans – as a benchmark. AI advancements not only increase the importance of decision-making skills as complements, but also provide a new benchmark against which organizations will likely evaluate talent, given the alternative of seeking automation. We test our hypotheses in the context of online chess, a setting where decision-making skills are critical for performance and where a mature benchmark AI exists.

Keywords: technology, labor markets, artificial intelligence, decision-making

JEL Classification: O30, O33, O39

Suggested Citation

Miric, Milan and Lu, Jinhing and Teodoridis, Florenta, Decision-Making Skills in an AI World: Lessons from Online Chess (February 15, 2020). Available at SSRN: https://ssrn.com/abstract=3538840 or http://dx.doi.org/10.2139/ssrn.3538840

Milan Miric

University of Southern California, Marshall School of Business ( email )

Marshall School of Business
BRI 401, 3670 Trousdale Parkway
Los Angeles, CA 90089
United States

Jinhing Lu

University of Southern California ( email )

Florenta Teodoridis (Contact Author)

University of Southern California - Marshall School of Business ( email )

701 Exposition Blvd
Los Angeles, CA California 90089
United States

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