医疗人机协作决策中的责任归因偏移与信任修复
Responsibility Attribution Shift and Trust Repair Mechanisms in Medical Human-AI Collaboration
DOI: 10.12677/ap.2026.1610495, PDF,    科研立项经费支持
作者: 王雪君：江苏师范大学教育学部，江苏 徐州
关键词: 人机协作；医疗误诊；责任归因；信任修复；Human-Machine Collaboration； Medical Misdiagnosis； Responsibility Attribution； Trust Repair
摘要: 人工智能推动医疗决策转向“人机协作”，但误诊常引发责任归因困境与信任危机。本文整合社会心理学与人机交互视角，发现因人工智能缺乏道德能动性，在防御性心理驱动下，责任归因会向人类医生偏移，使其成为“道德缓冲区”。在信任修复上，单一技术解释仅能修正能力型违背，而人类医生的共情介入则是弥补正直型或善心型违背并实现情感补偿的核心。本文由此构建了“心智知觉–归因重构–情感补偿”的信任修复动态框架，旨在为完善医疗伦理框架与优化临床人机互动提供理论依据与实践启示。
Abstract: Artificial intelligence (AI) has driven the shift in medical decision-making toward human-AI collaboration, yet misdiagnoses frequently trigger dilemmas in responsibility attribution and crises of trust. Integrating perspectives from social psychology and human-computer interaction, this paper reveals that due to AI’s lack of moral agency, responsibility attribution shifts toward human physicians driven by defensive psychology, forcing them to serve as “moral crumple zones”. Regarding trust repair, single technical explanations can only amend competence-based trust violations, whereas the empathetic intervention of human physicians is central to repairing integrity- or benevolence-based violations and achieving emotional compensation. Consequently, this paper constructs a dynamic framework for trust repair—“mind perception-attribution reconstruction-emotional compensation”—aiming to provide theoretical foundations and practical implications for refining medical ethical frameworks and optimizing clinical human-AI interactions.
文章引用：王雪君 (2026). 医疗人机协作决策中的责任归因偏移与信任修复. 心理学进展, 16(10), 302-311. https://doi.org/10.12677/ap.2026.1610495

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