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Thinking about God increases acceptance of artificial intelligence in decision-making.

Mustafa Karataş1, Keisha M Cutright2

  • 1Nazarbayev University, Graduate School of Business, Astana, 010000, Kazakhstan.

Proceedings of the National Academy of Sciences of the United States of America
|August 7, 2023
PubMed
Summary

Thinking about God increases acceptance of Artificial intelligence (AI) recommendations. When God is salient, people trust AI more and humans less, impacting decisions from food to finance.

Keywords:
algorithm aversionartificial intelligencedecision-makingreligion

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Area of Science:

  • Psychology
  • Artificial Intelligence Ethics
  • Sociology

Background:

  • Artificial intelligence (AI) is increasingly integrated into decision-making processes.
  • Understanding factors influencing AI recommendation acceptance is crucial for its societal integration.
  • Human reliance on recommendations varies across different decision domains.

Purpose of the Study:

  • To investigate the effect of God salience on the acceptance of AI-based recommendations.
  • To explore the psychological mechanisms underlying this effect.
  • To examine the generalizability of findings across diverse contexts and cultures.

Main Methods:

  • Eight preregistered experiments (n = 2,462) were conducted across various decision-making scenarios.
  • Studies examined the impact of God salience on reliance on human versus AI recommenders.
  • A large-scale international study (n = 53,563) analyzed robo-advisor usage data.

Main Results:

  • God salience significantly increased willingness to consider AI recommendations.
  • This effect was mediated by a heightened sense of smallness and perceived human fallibility.
  • Findings were consistent across personal choices (food, entertainment) and financial decisions.
  • International data confirmed the link between religiosity and robo-advisor adoption.

Conclusions:

  • Reminders of God enhance trust in and acceptance of AI recommendations.
  • The effect is driven by psychological shifts in self-perception and trust in human fallibility.
  • These findings have implications for AI deployment in areas requiring user trust and acceptance.