Trusting the machine: a digital humanist perspective on misplaced trust in artificial intelligence

Abstract The widespread invocation of “trust” in discussions surrounding generative AI (GenAI) conceals a deeper conceptual and normative tension. This paper critically examines the increasing tendency to treat AI systems as recipients or objects of trust, arguing that such a move risks both conceptual distortion and ethical erosion. Drawing on a digital humanist perspective, the paper contends that trust is a foundationally human, moral concept—anchored in vulnerability, autonomy, and reciprocal recognition—that cannot be meaningfully transferred to machines. The paper differentiates trust from mere reliance and explores the consequences of anthropomorphising AI systems. Using cases such as AI chatbots in therapeutic contexts, it shows how the application of trust to AI not only undermines human agency and emotional depth but also encourages a mechanisation of human social practices and an erosion of moral responsibility. In contrast to functionalist or system-oriented views of trust, a digital humanist approach insists on maintaining the conceptual boundary between humans and machines, advocating for transparency, controllability, and accountability in AI systems—without misappropriating the language of trust. The paper scrutinizes how framing AI as trustworthy reconfigures social norms, blurs lines of responsibility, and endangers the cultivation of human morality. A digital humanist reassertion of trust as an intersubjective and ethical relation is vital to resist these trends and to uphold the dignity and agency of human actors in the age of artificial intelligence.

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Publication Details

Journal
AI and Ethics
Published
2026-01-22
DOI
https://doi.org/10.1007/s43681-025-00923-1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Trusting the machine: a digital humanist perspective on misplaced trust in artificial intelligence

Alexander Schmoelz, Pia-Zoe Hahne
AI and Ethics
AI in Service Interactions
article

Trusting the machine: a digital humanist perspective on misplaced trust in artificial intelligence

Alexander Schmoelz, Pia-Zoe Hahne
article en

Abstract

Abstract The widespread invocation of “trust” in discussions surrounding generative AI (GenAI) conceals a deeper conceptual and normative tension. This paper critically examines the increasing tendency to treat AI systems as recipients or objects of trust, arguing that such a move risks both conceptual distortion and ethical erosion. Drawing on a digital humanist perspective, the paper contends that trust is a foundationally human, moral concept—anchored in vulnerability, autonomy, and reciprocal recognition—that cannot be meaningfully transferred to machines. The paper differentiates trust from mere reliance and explores the consequences of anthropomorphising AI systems. Using cases such as AI chatbots in therapeutic contexts, it shows how the application of trust to AI not only undermines human agency and emotional depth but also encourages a mechanisation of human social practices and an erosion of moral responsibility. In contrast to functionalist or system-oriented views of trust, a digital humanist approach insists on maintaining the conceptual boundary between humans and machines, advocating for transparency, controllability, and accountability in AI systems—without misappropriating the language of trust. The paper scrutinizes how framing AI as trustworthy reconfigures social norms, blurs lines of responsibility, and endangers the cultivation of human morality. A digital humanist reassertion of trust as an intersubjective and ethical relation is vital to resist these trends and to uphold the dignity and agency of human actors in the age of artificial intelligence.

AI and EthicsVol. 6(1)
University of Vienna (AT), University of Applied Sciences BFI Vienna (AT)
Peace, Justice and strong institutions
Openalex Percentile: Top 80%
AI in Service Interactions
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