Exposure to automation explains religious declines.

artificial intelligence automation cultural evolution religion

Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
22 08 2023
Historique:
medline: 16 8 2023
pubmed: 14 8 2023
entrez: 14 8 2023
Statut: ppublish

Résumé

The global decline of religiosity represents one of the most significant societal shifts in recent history. After millennia of near-universal religious identification, the world is experiencing a regionally uneven trend toward secularization. We propose an explanation of this decline, which claims that automation-the development of robots and artificial intelligence (AI)-can partly explain modern religious declines. We build four unique datasets composed of more than 3 million individuals which show that robotics and AI exposure is linked to 21st-century religious declines across nations, metropolitan regions, and individual people. Key results hold controlling for other technological developments (e.g., electricity grid access and telecommunications development), socioeconomic indicators (e.g., wealth, residential mobility, and demographics), and factors implicated in previous theories of religious decline (e.g., individual choice norms). An experiment also supports our hypotheses. Our findings partly explain contemporary trends in religious decline and foreshadow where religiosity may wane in the future.

Identifiants

pubmed: 37579178
doi: 10.1073/pnas.2304748120
pmc: PMC10450436
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2304748120

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Auteurs

Joshua Conrad Jackson (JC)

Behavioral Science Department, Booth School of Business, University of Chicago, Chicago, IL 60640.

Kai Chi Yam (KC)

Management & Organizations Department, National University of Singapore Business School, National University of Singapore, Singapore 117561, Singapore.

Pok Man Tang (PM)

Department of Management, Terry College of Business, University of Georgia, Athens, GA 30602.

Chris G Sibley (CG)

Department of Psychology, University of Auckland, Auckland, NZ 1142.

Adam Waytz (A)

Department of Management and Organizations, Kellogg School of Management, Northwestern University, Evanston, IL 60208.

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