A Study on Artificial Intelligence and Human Decision-Making
DOI:
https://doi.org/10.52731/lbds.v002.061Keywords:
Acceptability, Explainability, Decision making process, AI, ResponsibilityAbstract
This paper focuses on Explainable AI, which has become a hot topic in recent years, and discusses the possibility of a decision-making scheme in which artificial intelli-gence decision making and human decision making are linked, focusing on the human condition. In examining the relationship between AI and decision makers, the paper argues that the decision maker's own sense of responsibility is important for the deci-sion maker to accept the AI's reasoning results.
References
“AI White Paper 2019”, Information-technology Promotion Agency, Japan, 2019;https://www.ipa.go.jp/ikc/info/20181030.html
“Survey Report on the Promotion of AI Social Implementation”, Information-technologyPromotion Agency, Japan, 2019; https://www.ipa.go.jp/files/000067229.pdf
Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., ... &Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies,opportunities and challenges toward responsible AI. Information fusion, 58, 82-115.
De Fauw, J., Ledsam, J. R., Romera-Paredes, B., Nikolov, S., Tomasev, N., Blackwell,S., ... & Ronneberger, O. (2018). Clinically applicable deep learning for diagnosis andreferral in retinal disease. Nature medicine, 24(9), 1342-1350.
Simon, H. A. (1997). Models of bounded rationality: Empirically grounded economicreason (Vol. 3). MIT press.
Simon, H. A. (1960). The new science of management decision.
Montgomery, H. (1983). Decision rules and the search for a dominance structure: Towards aprocess model of decision making. In Advances in psychology (Vol. 14, pp. 343-369).North-Holland
HOSODA, T. (2017). A Study on Methods of Practical Decision Making Construction of aConceptual Model for Acceptable Decision Making-, Tokyo, Waseda University, Ph. D. the-sis
Hosoda, T., & Maruyama, H. (2022). Differences between the Purposes of the Dominance Search Model and the Acceptable Decision-Making Search Model. International Journal of Service and Knowledge Management, 6(2).
