用AI代理辅助临终关怀决策，让机器理解个人价值观。
Words to Describe What I'm Feeling: Exploring the Potential of AI Agents for High Subjectivity Decisions in Advance Care Planning
- 让用户训练AI代理学习自身价值观，作为未来医疗决策的代言人。
- 86.7%的参与者与代理达成一致，显示高度可信性。
- 适合关注个性化医疗决策支持的临床与伦理研究者。
决策能力丧失，加之可靠人类代理日益缺失，使得个体价值观如何在临终关怀规划（ACP）中被体现成为紧迫问题。为探索这一高风险、高主观性的设计领域，我们构建了一个体验原型（\ extacpagent{}），并邀请15名参与者在4场工作坊中训练其作为个人ACP代理。通过分析参与者的应对策略与功能需求，并将其映射到代理自主性与人类控制的维度上，发现86.7%的判断与代理达成一致，表明AI可能在未来的ACP中扮演个人倡导者的角色，通过长期互动建立相互理解。我们提出，未来需重点解决用户预期管理，以及代理部署和终止的问责与监督机制。
原文摘要 · Abstract (English)
Loss of decisional capacity, coupled with the increasing absence of reliable human proxies, raises urgent questions about how individuals' values can be represented in Advance Care Planning (ACP). To probe this fraught design space of high-risk, high-subjectivity decision support, we built an experience prototype (\acpagent{}) and asked 15 participants in 4 workshops to train it to be their personal ACP proxy. We analysed their coping strategies and feature requests and mapped the results onto axes of agent autonomy and human control. Our findings show a surprising 86.7\% agreement with \acpagent{}, arguing for a potential new role of AI in ACP where agents act as personal advocates for individuals, building mutual intelligibility over time. We propose that the key areas of future risk that must be addressed are the moderation of users' expectations and designing accountability and oversight over agent deployment and cutoffs.
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