Truace
Subscribe
70/100

Moderate evidence

Cite
More
Export CSVExport JSONEmailLinkedInX

Privacy and ethics worries drive consumer distrust of AI most, review of 30 studies finds

Study title: Dark Side of Artificial Intelligence: A Meta‐Analytic Review

Evidence type
Systematic review or meta-analysis
Sample
n = 109,758
Sources
1 sourcePeer-reviewed
Published
2 min read
Truvace record
TRV-2026-2726cite or check it

Study title: Dark Side of Artificial Intelligence: A Meta‐Analytic Review

A meta-analysis pooled 302 effect sizes from 30 empirical studies covering 109,758 participants to test why consumers distrust and resist AI-enabled services. It found privacy and security risk and ethical risk were the strongest predictors of distrust, and that distrust fuels resistance behavior.

Read the study abstract

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.

In brief

The authors compared five risk types: performance, social, emotional, privacy and security, and ethical. Using meta-analytic structural equation modeling, they tested the path from distrust to resistance, which they say earlier research had left fragmented and inconsistent.

The size of these effects was not uniform. It varied with gender composition, economic development, cultural orientation and digital readiness, which the authors say helps explain why earlier studies disagreed.

Main points

  1. The analysis combined 30 empirical studies, 302 independent effect sizes and 109,758 participants.
  2. It was grounded in innovation resistance theory and the theory of distrust.
  3. Privacy and security risk and ethical risk were the strongest predictors of consumer distrust of AI.
  4. Distrust in turn fuelled resistance to adopting AI in services, tested with meta-analytic structural equation modeling.
  5. Social and emotional risks mattered more in developing economies and collectivist cultures.
  6. Ethical concerns were more salient in digitally mature regions.
  7. Gender composition, economic development, cultural orientation and digital readiness moderated the relationships.

The full story

The review addresses AI-enabled service encounters that consumers see as error-prone, socially disruptive, emotionally misattuned, privacy-invasive or ethically questionable. The authors say such perceptions can produce distrust and resistance to adoption.

Pooling the evidence, the authors estimated the effects of five risk dimensions on distrust and then tested whether distrust translates into resistance. Privacy and security risk and ethical risk came out strongest.

Moderator analyses showed the patterns differ by context: social and emotional risks weighed more in developing economies and collectivist cultures, while ethical concerns weighed more in digitally mature regions. The authors offer guidance for AI developers, policymakers and marketers on trust-centered adoption and context-sensitive design.

Sources

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

Talk it over

Four questions to start onWho carries this cost, and what would have to change to prevent it?

Start with a question

Privacy and ethics worries drive consumer distrust of AI most, review of 30 studies findshttps://truvace.com/item/dark-side-of-artificial-intelligence-a-meta-analytic-review

  1. Who carries this cost, and what would have to change to prevent it?

    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.

    Answer in the thread

  2. How do we know? What can this kind of evidence show, and what can’t it?

    The evidence This rests on a systematic review or meta-analysis with a sample of 109,758, from Journal of Consumer Behaviour.

    Answer in the thread

  3. What does it leave open? What else would you want to know before acting on it?

    Answer in the thread

  4. Have you seen AI used this way where you study, work or live? Did it go the same way?

    Answer in the thread

The questions are the same on every record. The details under them are taken from this record as written.

What readers say

More from Business