标题： 人工智能代理在临终决策中的算法公平性 显示英文标题

标题： Algorithmic Fairness in AI Surrogates for End-of-Life Decision-Making

摘要： 人工智能代理是设计用于在个人失去决策能力时推断偏好的系统。 此类系统中的公平性是一个尚未得到充分探索的领域。 传统的算法公平性框架不足以应对决策具有关系性、存在性和文化多样性的场景。 本文通过将主要公平概念映射到潜在的现实世界临终情景，探讨了人工智能代理中的算法公平性伦理框架。 然后，它审视了不同道德传统中的公平性。 作者认为，该领域的公平性不仅包括结果的平等，还应涵盖道德代表性、对患者价值观、关系和世界观的忠实度。 显示英文摘要

摘要： Artificial intelligence surrogates are systems designed to infer preferences when individuals lose decision-making capacity. Fairness in such systems is a domain that has been insufficiently explored. Traditional algorithmic fairness frameworks are insufficient for contexts where decisions are relational, existential, and culturally diverse. This paper explores an ethical framework for algorithmic fairness in AI surrogates by mapping major fairness notions onto potential real-world end-of-life scenarios. It then examines fairness across moral traditions. The authors argue that fairness in this domain extends beyond parity of outcomes to encompass moral representation, fidelity to the patient's values, relationships, and worldview.