RT Journal Article
SR 00
ID 10.1037/amp0001454
A1 Bonnefon, Jean-François
A1 Conway, Jane
A1 Dong, Mengchen
A1 Rahwan, Iyad
A1 Shariff, Azim
T1 Fears about Artificial Intelligence across 20 countries and six domains of application
JF American Psychologist
YR 2024
FD 2024
K1 artificial intelligence
K1 algorithmic aversion
K1 mind perception
K1 culture
AB The frontier of artificial intelligence (AI) is constantly moving, raising fears and concerns whenever AI is deployed in a new occupation. Some of these fears are legitimate and should be addressed by AI developers—but others may result from psychological barriers, suppressing the uptake of a beneficial technology. Here, we show that country-level variations across occupations can be predicted by a psychological model at the individual level. Individual fears of AI in a given occupation are associated with the mismatch between psychological traits people deem necessary for an occupation and perceived potential of AI to possess these traits. Country-level variations can then be predicted by the joint cultural variations in psychological requirements and AI potential. We validated this preregistered prediction for six occupations (doctors, judges, managers, care workers, religious workers, and journalists) on a representative sample of 500 participants from each of 20 countries (total N = 10,000). Our findings may help develop best practices for designing and communicating about AI in a principled yet culturally sensitive way, avoiding one-size-fits-all approaches centered on Western values and perceptions.
PB American Psychological Association
SN 0003-066X
LK https://publications.ut-capitole.fr/id/eprint/50336/
UL http://iast.fr/pub/130257