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Healthcare AI front-end design creates imbalanced user-AI relationships, paper argues

By PulseAugur Editorial · [1 sources] ·

A new paper argues that ethical considerations for AI in healthcare have largely overlooked the user interface, focusing instead on backend issues like bias and fairness. The authors identify imbalanced user-AI relationships, where patients are visible to AI but cannot understand or influence their representation, as a critical front-end ethical failure. They propose design interventions to foster more balanced and participatory interactions between users and AI systems in healthcare settings. AI

IMPACT Highlights the need for improved user interface design in healthcare AI to ensure ethical patient-AI interactions and clinician judgment.

RANK_REASON Academic paper discussing ethical failures in healthcare AI front-end design.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Healthcare AI front-end design creates imbalanced user-AI relationships, paper argues

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Academic paper discussing ethical failures in healthcare AI front-end design.
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161 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Maureen Mghambi Mwadime ·

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

    arXiv:2604.22767v1 Announce Type: cross Abstract: 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 un…

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