ArticleFrontiers in psychology2026
From doubt to trust: how AI safety voice bridges the gap between employees and AI teammates through perceived capability and benevolence.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Purpose: With the rapid advancement of artificial intelligence (AI) computing power, the creation and development of human-AI collaborative teams have become a significant trend in organizational development. However, in organizational practice, the introduction of AI is often accompanied by significant psychological resistance and algorithm aversion among employees. Based on this, this article aims to investigate the critical variable of AI safety voice, analyzing its impact mechanism on employees' willingness to collaborate. The study focuses on examining the mediating roles of perceived AI capability and perceived AI benevolence, as well as the moderating effect of voice endorsement within this framework. Methods: Drawing upon the theory of mind perception, this study investigated mediating and moderating effects through a multi-wave questionnaire survey administered to 385 enterprise employees routinely engaged in human-AI collaboration. Result: Employees' perceptions of AI capability and benevolence mediate the relationship between AI safety voice and employees' willingness to work with AI. Furthermore, voice endorsement positively moderates the relationships between AI safety voice and perceived AI capability as well as perceived AI benevolence, further enhancing the indirect effect of AI safety voice on employees' willingness to work with AI. Conclusion: The findings contribute to enhancing the relationship between human and AI teammates and provide practical insights for organizations aiming to introduce human-AI collaborative teams, thereby improving team synergy and work output.
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