Artificial Intelligence (AI) technology is transforming the healthcare sector. However, despite this, the associated ethical implications remain open to debate. This research investigates how signals of AI responsibility impact healthcare practitioners’ attitudes toward AI, satisfaction with AI, AI usage intentions, including the underlying mechanisms. Our research outlines autonomy, beneficence, explainability, justice, and non-maleficence as the five key signals of AI responsibility for healthcare practitioners. The findings reveal that these five signals significantly increase healthcare practitioners’ engagement, which subsequently leads to more favourable attitudes, greater satisfaction, and higher usage intentions with AI technology. Moreover, ‘techno-overload’ as a primary ‘techno-stressor’ moderates the mediating effect of engagement on the relationship between AI justice and behavioural and attitudinal outcomes. When healthcare practitioners perceive AI technology as adding extra workload, such techno-overload will undermine the importance of the justice signal and subsequently affect their attitudes, satisfaction, and usage intentions with AI technology.

人工智能 (AI) 技术正在改变医疗保健行业。然而，尽管如此，相关的伦理影响仍有待商榷。这项研究调查了人工智能责任信号如何影响医疗保健从业者对人工智能的态度、对人工智能的满意度、人工智能的使用意图，包括潜在的机制。我们的研究将自主性、善行、可解释性、公正性和非恶意性列为医疗保健从业者人工智能责任的五个关键信号。研究结果表明，这五个信号显着提高了医疗保健从业者的参与度，从而导致对人工智能技术的态度更积极、满意度更高、使用意愿更高。而且，“技术过载”作为主要的“技术压力源”调节了参与对人工智能正义与行为和态度结果之间关系的中介作用。当医疗从业者认为人工智能技术会增加额外的工作量时，这种技术过载会削弱正义信号的重要性，进而影响他们对人工智能技术的态度、满意度和使用意图。