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Dark Side of Artificial Intelligence: A Meta‐Analytic Review

Truvace record
TRV-2026-2726raw data (JSON)
Version
v1Published
First published
Evidence type
Systematic review or meta-analysis
Sources
1 sourcePeer-reviewed
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ce7ecf3f6b69…check it

ABSTRACT The rapid integration of artificial intelligence (AI) into consumer interactions has sparked concerns about its darker implications. When AI‐enabled service encounters are perceived as error‐prone, socially disruptive, emotionally misattuned, privacy‐invasive, or ethically questionable, consumers may develop distrust and resistance towards adoption. Despite growing scholarly attention, research on AI‐related risks and consumer resistance remains fragmented and empirically inconsistent, limiting clarity…

The problem

A meta-analysis of 30 studies with 109,758 participants found that privacy and security risk and ethical risk were the strongest predictors of consumer distrust of AI services, and that distrust in turn fuelled resistance to using them.

Sources

1 on file
  1. Journal of Consumer Behaviourdoi:10.1002/cb.70144
    Peer-reviewed2026-03-17

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v1

Truvace Impact Record TRV-2026-2726, v1: “Dark Side of Artificial Intelligence: A Meta‐Analytic Review.” Truvace, 2026-11-12. /record/TRV-2026-2726 (accessed on the day you copy it). sha256 ce7ecf3f6b690d27…

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  1. Publishedv1ce7ecf3f6b69…

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