Algorithm aversion: Difference between revisions

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== Examples of algorithm aversion ==

Algorithm aversion has been studied in a wide variety of contexts. For example, people seem to prefer recommendations for jokes from a human rather than from an algorithm,<ref name=":2">{{Cite journal|last1=Yeomans|first1=Michael|last2=Shah|first2=Anuj|last3=Mullainathan|first3=Sendhil|last4=Kleinberg|first4=Jon|date=2019|title=Making sense of recommendations|url=https://onlinelibrary.wiley.com/doi/abs/10.1002/bdm.2118|journal=Journal of Behavioral Decision Making|language=en|volume=32|issue=4|pages=403–414|doi=10.1002/bdm.2118|issn=1099-0771}}</ref> and would rather rely on a human to predict the number of airline passengers from each US state instead of an algorithm.<ref name=":3">{{Cite journal|last1=Dietvorst|first1=Berkeley J.|last2=Simmons|first2=Joseph P.|last3=Massey|first3=Cade|date=2015|title=Algorithm aversion: People erroneously avoid algorithms after seeing them err.|url=http://doi.apa.org/getdoi.cfm?doi=10.1037/xge0000033|journal=Journal of Experimental Psychology: General|language=en|volume=144|issue=1|pages=114–126|doi=10.1037/xge0000033|pmid=25401381|issn=1939-2222}}</ref> People also seem to prefer medical recommendations from human doctors instead of an algorithm.<ref name=":4">{{Citationcite book |doi=10.1007/978-3-030-26773-5_25 |chapter=Biases Affecting Human Decision Making in AI-Supported Second Opinion Settings |title=MDAI 2019 - International Conference on Modeling Decisions for Artificial Intelligence |year=2019 |last1=Cabitza |first1=Federico |isbn= 978-3-030-26773-5 needed|datechapter-url=Septemberhttps://link.springer.com/chapter/10.1007/978-3-030-26773-5_25 2021}}</ref>

== Factors affecting algorithm aversion ==