In healthcare, the role of AI is continually evolving and understanding the challenges its introduction poses on relationships between healthcare providers and patients will require a regulatory and behavioural approach that can provide a guiding base for all users involved. In this paper, we present ACIPS (Acceptability, Comfortability, Informed Consent, Privacy, and Security), a framework for evaluating patient response to the introduction of AI-enabled digital technologies in healthcare settings. We justify the need for ACIPS with a general introduction of the challenges with and perceived relevance of AI in human-welfare centered fields, with an emphasis on the provision of healthcare. The framework is composed of five principles that measure the perceptions of acceptability, comfortability, informed consent, privacy, and security patients hold when learning how AI is used in their healthcare. We propose that the tenets composing this framework can be translated into guidelines outlining the proper use of AI in healthcare while broadening the limited understanding of this topic.

翻译：在医疗领域，人工智能的作用持续演化，理解其在医患关系中引入的挑战需要一种能够为所有相关用户提供指导基础的规制性及行为学方法。本文提出ACIPS（可接受性、舒适度、知情同意、隐私及安全性）框架，用于评估患者对医疗场景中引入人工智能数字技术的反应。我们通过概述以人类福祉为中心领域（尤其是医疗保健提供）中人工智能面临的挑战及其感知相关性，论证了ACIPS框架的必要性。该框架由五项原则构成，分别衡量患者了解人工智能在自身医疗中的应用方式时，对可接受性、舒适度、知情同意、隐私和安全性产生的感知。我们主张，这一框架的构成原则可转化为指导人工智能在医疗领域合理应用的准则，同时拓展目前对该议题的有限认知。