{
  "id": 6799,
  "url": "https://arxiv.org/abs/2604.22767v1",
  "title": "The Imbalanced User-AI Relationships as an Ethical Failure of Front-End Design in Healthcare AI",
  "summary": "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",
  "authors": "Maureen Mghambi Mwadime",
  "category": "research",
  "topics": "bias-fairness,healthcare,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-24T17:15:57.000Z",
  "fetched_at": "2026-07-14T16:32:45.893Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6799",
  "original_url": "https://arxiv.org/abs/2604.22767v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}