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
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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.