The extent of algorithm aversion in decision-making situations with varying gravity

Algorithms already carry out many tasks more reliably than human experts. Nevertheless, some subjects have an aversion towards algorithms. In some decision-making situations an error can have serious consequences, in others not. In the context of a framing experiment, we examine the connection betwe...

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Bibliographic Details
Published in:PloS one Vol. 18; no. 2; p. e0278751
Main Authors: Filiz, Ibrahim, Judek, Jan René, Lorenz, Marco, Spiwoks, Markus
Format: Journal Article
Language:English
Published: United States Public Library of Science 21.02.2023
Public Library of Science (PLoS)
Subjects:
Affect
Algorithms
Aversion
Biology and Life Sciences
Computer and Information Sciences
Dating services
Decision Making
Earth Sciences
Expected values
Experiments
Feedback
Health aspects
Humans
Laboratories
Medical errors
Medical research
Medicine and Health Sciences
Physical Sciences
Prevention
Probability
Research and Analysis Methods
Social Sciences
Success
Germany
ISSN:1932-6203, 1932-6203
Online Access:Get full text
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Summary:Algorithms already carry out many tasks more reliably than human experts. Nevertheless, some subjects have an aversion towards algorithms. In some decision-making situations an error can have serious consequences, in others not. In the context of a framing experiment, we examine the connection between the consequences of a decision-making situation and the frequency of algorithm aversion. This shows that the more serious the consequences of a decision are, the more frequently algorithm aversion occurs. Particularly in the case of very important decisions, algorithm aversion thus leads to a reduction of the probability of success. This can be described as the tragedy of algorithm aversion.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0278751