TruaceTracing the truth around AITuesday, August 25, 2026
TRV-2026-0686Certified recordPeer-reviewed

Power, privilege and moral responsibility: learning from I.M. Young's Social Connection Model in the context of AI-driven healthcare

Artificial intelligence (AI) in healthcare is assumed to introduce risks that are not easily addressed by dominant philosophical models for thinking about responsibility. When an AI tool makes an error that results in patient harm, the question of who is responsible is rarely straightforward. Dominant models of responsibility work when harm can be traced to a single actor, but they fail in socio-technical systems where decisions and actions are distributed across multiple human and technological agents. Iris Mar…

Health · P Space — documented harm · certified 2026-08-08 · v1 · article view · machine-readable

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AI tools used in healthcare can make errors that result in patient harm, with responsibility difficult to assign because decisions are distributed across human and technological agents.

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Truvace Impact Record TRV-2026-0686, v1: “Power, privilege and moral responsibility: learning from I.M. Young's Social Connection Model in the context of AI-driven healthcare.” Truvace, 2026-08-08. /record/TRV-2026-0686 (accessed at citation time). sha256 2a433b015dd5ff53

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