What question did this study set out to answer?

The study aims to evaluate how trust in artificial intelligence can be enhanced by identifying critical indicators that influence user confidence.

Building Trust in Artificial Intelligence: A Systematic Review through the Lens of Trust Theory

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Systematic review examines trust indicators in AI for high-stakes applications, suggesting key areas for improvement.

The study aims to evaluate how trust in artificial intelligence can be enhanced by identifying critical indicators that influence user confidence.
Conducted a systematic literature review following the PRISMA protocol.
Analyzed existing studies on trust indicators relevant to AI usage.
Investigated the interdependencies among factors influencing user trust.
Transparency and communication are prioritized as trust indicators.
Adaptability and affordability are identified as underexplored areas.
Reliability, predictability, and ethical alignment are highlighted as key determinants of trust.

Regona et al. (2026) studied this question.

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