Human‐centered explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper
这篇综述梳理了以人为中心的可解释人工智能（HCXAI）领域，它强调从用户和情境出发，让AI解释更实用、更可信，适合关注AI伦理、人机交互的研究者快速了解该领域现状与挑战。
Abstract Explainability is central to trust and accountability in artificial intelligence (AI) applications. The field of human‐centered explainable AI (HCXAI) arose as a response to mainstream explainable AI (XAI) which was focused on algorithmic perspectives and technical challenges, and less on the needs and contexts of the non‐expert, lay user. HCXAI is characterized by putting humans at the center of AI explainability. Taking a sociotechnical perspective, HCXAI prioritizes user and situational contexts, preferences reflection over acquiescence, and promotes the actionability of explanations. This review identifies the foundational ideas of HCXAI, how those concepts are operationalized in system design, how legislation and regulations might normalize its objectives, and the challenges that HCXAI must address as it matures as a field.