Machine Thinking, Fast and Slow - Archive ouverte HAL
Article Dans Une Revue Trends in Cognitive Sciences Année : 2020

Machine Thinking, Fast and Slow

Résumé

Machines do not ‘think fast and slow’ in the sense that humans do in dual-process models of cognition. However, the people who create the machines may attempt to emulate or simulate these fast and slow modes of thinking, which will in turn affect the way end users relate to these machines. In this opinion article we consider the complex interplay in the way various stakeholders (engineers, user experience designers, regulators, ethicists, and end users) can be inspired, challenged, or misled by the analogy between the fast and slow thinking of humans and the Fast and Slow Thinking of machines.
Fichier principal
Vignette du fichier
S1364661320302229.pdf (484.08 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03064589 , version 1 (21-11-2022)

Licence

Identifiants

Citer

Jean-François Bonnefon, Iyad Rahwan. Machine Thinking, Fast and Slow. Trends in Cognitive Sciences, 2020, 24 (12), pp.1019-1027. ⟨10.1016/j.tics.2020.09.007⟩. ⟨hal-03064589⟩
71 Consultations
214 Téléchargements

Altmetric

Partager

More