文章基本信息

标题：Algorithm aversion is too often presented as though it were non-compensatory: A reply to Longoni et al. (2020)
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作者：Mark V. Pezzo ; Jason W. Beckstead
期刊名称：Judgment and Decision Making
印刷版ISSN：1930-2975
出版年度：2020
卷号：15
期号：3
页码：449-451
语种：English
出版社：Society for Judgment and Decision Making
摘要：We clarify two points made in our commentary (Pezzo and 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.