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<p><i>In this article for the journal “Gruppe. Interaktion. Organisation. (GIO)”, we invited sociologist and trust researcher Reinhard Bachmann to take part in an interview. </i>During the conversation, Bachmann develops three closely interlinked lines of argument: Firstly, trust in experts is primarily institution-based—an insight that is highly topical given the accelerating erosion of institutional norms and standards. Secondly, he sees a&#xa0;structural danger in the over-regulation of experts through accountability requirements and demands for complete transparency: those who insist on complete transparency do not create a&#xa0;culture of trust—they create a&#xa0;culture of control that renders trust structurally superfluous. Thirdly, Bachmann offers a&#xa0;nuanced view of the role of AI: it is not the devaluation of human expertise that is at risk, but a&#xa0;redistribution of the fields in which expertise is required—and a&#xa0;shift towards institutionalized trust in the certifying systems behind AI applications.</p>

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Vertrauen, Kontrolle und professionelle Selbststeuerung von Expert/-innen in Organisationen

  • 期刊论文

  • 发表日期：

    2026年7月16日

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  • Reinhard Bachmann,
  • Hans-Joachim Gergs

摘要

In this article for the journal “Gruppe. Interaktion. Organisation. (GIO)”, we invited sociologist and trust researcher Reinhard Bachmann to take part in an interview. During the conversation, Bachmann develops three closely interlinked lines of argument: Firstly, trust in experts is primarily institution-based—an insight that is highly topical given the accelerating erosion of institutional norms and standards. Secondly, he sees a structural danger in the over-regulation of experts through accountability requirements and demands for complete transparency: those who insist on complete transparency do not create a culture of trust—they create a culture of control that renders trust structurally superfluous. Thirdly, Bachmann offers a nuanced view of the role of AI: it is not the devaluation of human expertise that is at risk, but a redistribution of the fields in which expertise is required—and a shift towards institutionalized trust in the certifying systems behind AI applications.