Detecting deception with artificial intelligence: promises and perils.

artificial intelligence deception detection lie detection machine learning

Journal

Trends in cognitive sciences
ISSN: 1879-307X
Titre abrégé: Trends Cogn Sci
Pays: England
ID NLM: 9708669

Informations de publication

Date de publication:
20 Apr 2024
Historique:
received: 30 01 2024
revised: 03 04 2024
accepted: 03 04 2024
medline: 22 4 2024
pubmed: 22 4 2024
entrez: 21 4 2024
Statut: aheadofprint

Résumé

Rapid advancements in artificial intelligence (AI) have driven interest in its potential application for lie detection. Unfortunately, the current approaches have primarily focused on technical aspects at the expense of a solid methodological and theoretical foundation. We discuss the implications thereof and offer recommendations for the development and regulation of AI-based deception detection.

Identifiants

pubmed: 38644102
pii: S1364-6613(24)00081-0
doi: 10.1016/j.tics.2024.04.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Kristina Suchotzki (K)

Department of Psychology, University of Marburg, Gutenbergstr. 18, 35037 Marburg, Germany. Electronic address: kristina.suchotzki@uni-marburg.de.

Matthias Gamer (M)

Department of Psychology, University of Würzburg, Marcusstr. 9-11, 97070 Würzburg, Germany.

Classifications MeSH