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

affiliation not provided to SSRN

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

affiliation not provided to SSRN

Florenta Teodoridis (Contact Author)

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

701 Exposition Blvd
Los Angeles, CA 90089
United States

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