The advent of artificial intelligence (“AI”) holds great potential to improve clinical diagnostics. At the same time, there are important questions of liability for harms arising from the use of this technology. Due to their complexity, opacity, and lack of foreseeability, AI systems are not easily accommodated by traditional liability frameworks. This difficulty is compounded in the health care space where various actors, namely physicians and health care organizations, are subject to distinct but interrelated legal duties regarding the use of health technology. Without a principled way to apportion responsibility among these actors, patients may find it difficult to recover for injuries. In this Article, I propose that physicians, manufacturers of clinical AI systems, and hospitals be considered a common enterprise for the purposes of liability. This proposed framework helps facilitate the apportioning of responsibility among disparate actors under a single legal theory. Such an approach responds to concerns about the responsibility gap engendered by clinical AI technology as it shifts away from individualistic notions of responsibility, embodied by negligence and products liability, toward a more distributed conception. In addition to favoring plaintiff recovery, a common enterprise strict liability approach would create strong incentives for the relevant actors to take care.

人工智能 (“AI”) 的出现具有改善临床诊断的巨大潜力。同时，对于因使用该技术而引起的损害的责任也存在重要问题。由于其复杂性、不透明性和缺乏可预见性，人工智能系统不容易被传统的责任框架所容纳。这种困难在医疗保健领域更加复杂，在医疗保健领域，各种行为者，即医生和医疗保健组织，在使用医疗技术方面承担不同但相互关联的法律义务。如果没有在这些行为者之间分配责任的原则性方法，患者可能会发现受伤后很难康复。在本文中，我建议将医生、临床人工智能系统制造商和医院视为共同的企业，以承担责任。这个提议的框架有助于在单一法律理论下促进不同行为者之间的责任分配。这种方法回应了对临床 AI 技术产生的责任差距的担忧，因为它从个人主义的责任概念（表现为疏忽和产品责任）转向更加分散的概念。除了有利于原告的追偿外，一种常见的企业严格责任方法还将为相关行为者提供强大的激励措施。体现为疏忽和产品责任，朝着更加分散的概念发展。除了有利于原告的追偿外，一种常见的企业严格责任方法还将为相关行为者提供强大的激励措施。体现为疏忽和产品责任，朝着更加分散的概念发展。除了有利于原告的追偿外，一种常见的企业严格责任方法还将为相关行为者提供强大的激励措施。