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

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.

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• arXiv
• AI
• Healthcare AI

• paper
• safety

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