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Evidence record 6799 · automatically gathered

The Imbalanced User-AI Relationships as an Ethical Failure of Front-End Design in Healthcare AI

Ethical discourse on AI in healthcare has focused predominantly on back-end concerns such as bias, fairness and explainability, while the front-end interface, where patients and clinicians actually encounter AI outputs, remains under explored. This paper identifies imbalanced user-AI relationships as a distinct class of front-end ethical failure: patients are rendered highly visible to AI systems through data inference, yet cannot understand, question or influence how they are represented. Throu

Record details

Published: 24 March 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Healthcare · Transparency
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness · Shared topic: Healthcare

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Shared topic: Bias & fairness · Shared topic: Healthcare

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Shared topic: Bias & fairness · Shared topic: Healthcare

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How to cite this record

ethics.ai (24 March 2026), “The Imbalanced User-AI Relationships as an Ethical Failure of Front-End Design in Healthcare AI,” evidence record 6799, https://ethics.ai/record/6799 (originally published by arXiv).

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