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As algorithms increasingly replace human decision-makers, concerns have been voiced about the black-box nature of algorithmic decision-making. These concerns raise an apparent paradox. In many cases, human decision-makers are just as much of a black-box as the algorithms that are meant to replace them. Yet, the inscrutability of human decision-making seems to raise fewer concerns. We suggest that one of the reasons for this paradox is that people foster an illusion of understanding human better than algorithmic decision-making, when in fact, both are black-boxes. We further propose that this occurs, at least in part, because people project their own intuitive understanding of a decision-making process more onto other humans than onto algorithms, and as a result, believe that they understand human better than algorithmic decision-making, when in fact, this is merely an illusion. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Andrea Bonezzi
Massimiliano Ostinelli
Johann Melzner
Journal of Experimental Psychology General
College of Business Administration
The Stern Cardiovascular Foundation
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Bonezzi et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69dffb0193e101b251e9c4eb — DOI: https://doi.org/10.1037/xge0001181