Algorithm Delegation: How Embedded AI Facilitates Agency Transference in Medical Services
研究了嵌入式AI（物理集成到设备中的算法）如何通过缩短消费者与AI的心理距离，增强其将医疗决策委托给算法的意愿，并预期更好的健康结果。
ABSTRACT Integrating insights from psychological distance and human‐AI agency theories, this study explores embedded AI — algorithms physically integrated into tangible devices as a novel mechanism to help overcome resistance towards medical AI. Across four studies, including a large text‐mining ( n = 224,433 reviews) and three controlled experiments ( n = 677 participants), we show that embedded AI reduces psychological distance between consumers and AI (Study 2B), which in turn enhances willingness to delegate medical decisions to algorithms (Studies 1–3). We further demonstrate that consumers expect better health outcomes when delegating decisions to embedded AI (Studies 2 A, 2B, and 3). Moderation analysis further shows that these effects weaken when an analytical mode is primed using numerical accuracy information (Study 3). Our findings contribute to ongoing discussions on overcoming resistance to medical AI and offer implications for the design of AI‐based technologies in medical services.