USF St. Petersburg campus Faculty Publications
Algorithm aversion is too often presented as though it werenon-compensatory: A reply to Longoni et al. (2020)
Document Type
Article
Publication Date
2020
Abstract
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.
Language
English
Recommended Citation
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
