Human Learning from Artificial Intelligence : Evidence from Human Go Players’ Decisions after AlphaGo

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the Annual Meeting of the Cognitive Science Society
Pages1795-1801
Volume43
Publication statusPublished - Jul 2021
Externally publishedYes

Publication series

Name
ISSN (Electronic)1069-7977

Conference

Title43rd Annual Meeting of the Cognitive Science Society (CogSci 2021)
LocationVirtual
PlaceAustria
CityVienna
Period26 - 29 July 2021

Abstract

Although Artificial Intelligence (AI) is expected to outperform humans in many domains of decision-making, the process by which AI arrives at its superior decisions is often hidden and too complex for humans to fully grasp. As a result, humans may find it difficult to learn from AI, and accordingly, our knowledge about whether and how humans learn from AI is also limited. In this paper, we aim to expand our understanding by examining human decision-making in the board game Go. Our analysis of 1.3 million move decisions made by professional Go players suggests that people learned to make decisions like AI after they observe reasoning processes of AI, rather than mere actions of AI. Follow-up analyses compared the decision quality of two groups of players: those who had access to AI programs and those who did not. In line with the initial results, decision quality significantly improved for the players with AI access after they gained access to reasoning processes of AI, but not for the players without AI access. Our results demonstrate that humans can learn from AI even in a complex domain where the computation process of AI is also complicated.

Research Area(s)

  • Human Learning, Artificial Intelligence, Measure of Learning, Decision quality

Citation Format(s)

Human Learning from Artificial Intelligence : Evidence from Human Go Players’ Decisions after AlphaGo. / Shin, Minkyu; Kim, Jin; Kim, Minkyung.

Proceedings of the Annual Meeting of the Cognitive Science Society. Vol. 43 2021. p. 1795-1801.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review