We clarify two points made in our commentary (Pezzo & Beckstead, 2020,this issue) on a recent paper by Longoni, Bonezzi,and Morewedge (2019). In both Experiments 1 and 4 from their paper,it is not possible to determine whether accuracy can compensate for algorithm aversion. Experiments 3A-C, however, do show a strong effect of accuracy such that AI that is superior to a human provider is embraced by patients. Many papers, including Longoni et al. tend to minimize the role of this compensatory process, apparently because it seems obvious to the authors (Longoni, Bonezzi, Morewedge, 2020, this issue). Such minimization, however, can lead to (mis)citations in which research that clearly demonstrates a compensatory role of AI accuracy is cited as non-compensatory.
Article
Algorithm aversion is too often presented as though it werenon-compensatory: A reply to Longoni et al. (2020)
USF St. Petersburg campus Faculty Publications
Document Type
Article
Publication Date
2020
Disciplines
Abstract
Language
English
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 4.0
Citation Information
Pezzo, M. V., & Beckstead, J. W. (2020). Algorithm aversion is too often presented as though it were non-compensatory: A reply to Longoni et al.\(2020). Judgment and Decision Making, 15(3), 449.