对人工智能的信任：数字社会中人工智能交互的决策理论框架

Trust in artificial intelligence (AI) is crucial for ensuring productive human–AI interactions across domains ranging from medicine to finance. As AI systems become central in the digital society, understanding how people decide when to rely on algorithmic advice becomes increasingly important. This paper proposes that a decision-theoretic perspective is needed to explain how well-calibrated trust in AI can be achieved. We conceptualize trust in AI as a decision to delegate control to an artificial agent, balancing potential rewards and risks of following AI advice versus relying on one’s own