Artificial Intelligence (AI) aims to elevate healthcare to a pinnacle by aiding clinical decision support. Overcoming the challenges related to the design of ethical AI will enable clinicians, physicians, healthcare professionals, and other stakeholders to use and trust AI in healthcare settings. This study attempts to identify the major ethical principles influencing the utility performance of AI at different technological levels such as data access, algorithms, and systems through a thematic analysis. We observed that justice, privacy, bias, lack of regulations, risks, and interpretability are the most important principles to consider for ethical AI. This data-driven study has analyzed secondary survey data from the Pew Research Center (2020) of 36 AI experts to categorize the top ethical principles of AI design. To resolve the ethical issues identified by the meta-analysis and domain experts, we propose a new utilitarian ethics-based theoretical framework for designing ethical AI for the healthcare domain.

翻译：人工智能（AI）旨在通过辅助临床决策支持将医疗水平提升至新高度。克服伦理AI设计相关的挑战，将有助于临床医生、医师、医疗专业人员及其他利益相关者在医疗场景中信任并使用AI。本研究通过主题分析，试图识别在不同技术层面（如数据访问、算法及系统）影响AI效用性能的主要伦理原则。研究发现，公平性、隐私保护、偏见、监管缺失、风险及可解释性是需要优先考虑的伦理AI关键原则。这项数据驱动研究分析了皮尤研究中心（2020年）针对36位AI专家的二次调查数据，以对AI设计中的核心伦理原则进行分类。为解决元分析与领域专家识别的伦理问题，我们提出了一种基于功利主义伦理理论的新型理论框架，用于指导医疗领域伦理AI的设计。