Publication: Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions
Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions
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Benk, M., Kerstan, S., von Wangenheim, F., & Ferrario, A. (2025). Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions. AI & Society, 40(4), 2083–2106. https://doi.org/10.1007/s00146-024-02059-y
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Trust is widely regarded as a critical component to building artificial intelligence (AI) systems that people will use and safely rely upon. As research in this area continues to evolve, it becomes imperative that the research community synchronizes its empirical efforts and aligns on the path toward effective knowledge creation. To lay the groundwork toward achieving this objective, we performed a comprehensive bibliometric analysis, supplemented with a qualitative content analysis of over two decades of empirical research measuring
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Benk, M., Kerstan, S., von Wangenheim, F., & Ferrario, A. (2025). Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions. AI & Society, 40(4), 2083–2106. https://doi.org/10.1007/s00146-024-02059-y