TY - JOUR
T1 - Algorithm aversion is too often presented as though it werenon-compensatory: A reply to Longoni et al. (2020)
AU - Pezzo, Mark V.
AU - Beckstead, Jason W.
N1 - 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.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
KW - automation, artificial intelligence, healthcare, uniqueness, medical decision making, trust, decision aids
UR - https://digitalcommons.usf.edu/fac_publications/4106
UR - http://journal.sjdm.org/19/191111aq/jdm191111aq.pdf
M3 - Article
JO - Default journal
JF - Default journal
ER -