Humans inherit artificial intelligence biases.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
03 10 2023
Historique:
received: 22 06 2023
accepted: 09 09 2023
medline: 1 11 2023
pubmed: 4 10 2023
entrez: 3 10 2023
Statut: epublish

Résumé

Artificial intelligence recommendations are sometimes erroneous and biased. In our research, we hypothesized that people who perform a (simulated) medical diagnostic task assisted by a biased AI system will reproduce the model's bias in their own decisions, even when they move to a context without AI support. In three experiments, participants completed a medical-themed classification task with or without the help of a biased AI system. The biased recommendations by the AI influenced participants' decisions. Moreover, when those participants, assisted by the AI, moved on to perform the task without assistance, they made the same errors as the AI had made during the previous phase. Thus, participants' responses mimicked AI bias even when the AI was no longer making suggestions. These results provide evidence of human inheritance of AI bias.

Identifiants

pubmed: 37789032
doi: 10.1038/s41598-023-42384-8
pii: 10.1038/s41598-023-42384-8
pmc: PMC10547752
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

15737

Informations de copyright

© 2023. Springer Nature Limited.

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Auteurs

Lucía Vicente (L)

Department of Psychology, Deusto University, Avenida Universidades 24, 48007, Bilbao, Spain.

Helena Matute (H)

Department of Psychology, Deusto University, Avenida Universidades 24, 48007, Bilbao, Spain. matute@deusto.es.

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