Decision-Making Skills in an AI World: Lessons from Online Chess
43 Pages Posted: 10 Mar 2020
Date Written: February 15, 2020
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
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