Protocol: Effects of Organizational Transparency Interventions on Trust in AI-Assisted Decision-Making and Human Decision-Makers: A Systematic Review of Enabling Mechanisms

This protocol describes a systematic review that will examine the effects of organizational transparency interventions on trust in AI-assisted decision-making and in human decision-makers. The review addresses a dual-trust dynamic — cognition-based trust in AI-assisted decisions and affect-based trust in human decision-makers — that existing reviews have not synthesised together. Eligible studies will involve organizational decision-makers interacting with AI-assisted systems and will measure trust-related outcomes in response to transparency interventions such as disclosure protocols, process transparency, or leader communication strategies. Database searches will span psychology, management, information systems, and AI literatures from 2015 to present across PsycINFO, Scopus, Web of Science, ACM Digital Library, IEEE Xplore, and grey literature sources. A convergent segregated mixed-methods synthesis will be used: random-effects meta-analysis for quantitative evidence and thematic synthesis following Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ) for qualitative evidence. Findings will be integrated in a cross-interpretation stage to produce theory-informed conclusions on mechanisms and moderators of trust asymmetry. The review is registered with the Campbell Collaboration Business and Management Coordinating Group.