数字技术、人工智能和健康公平的伦理框架

Piyanat Prathomwong, P. Singsuriya
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引用次数: 0

摘要

医疗保健在数字技术和人工智能(AI)的广泛使用中显而易见。虽然技术开发和应用的目标之一是促进卫生公平,但它同时也可能增加卫生差距。需要一个伦理框架来分析在通过数字技术和人工智能促进卫生公平的努力中出现的问题。本文在分析促进健康公平的伦理原则的基础上,旨在综合一个分析利用数字技术和人工智能促进健康公平相关问题的伦理框架。研究结果显示了一个综合框架,其中包括两组主要的伦理原则:一般原则和管理原则。后者旨在为前者的实施服务。一般原则包括四个核心原则:人的尊严、正义、非恶意和仁慈,涵盖了主要原则和次要原则。例如,人类尊严的核心原则包括三个主要原则(非人性化、隐私和自主性)和两个次要原则(可解释性和透明度)。其他核心原则有其相关的主要原则和次要原则。管理原则可以根据其目标进行分类,服务于不同的核心原则。通过对数字技术、人工智能和卫生公平多学科研讨会上征求专家意见的问题进行分析和分类,提供了应用道德框架的说明。
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Ethical Framework of Digital Technology, Artificial Intelligence, and Health Equity
Healthcare is evident in the extensive use of digital technology and artificial intelligence (AI). Although one aim of technological development and application is to promote health equity, it can at the same time increase health disparities. An ethical framework is needed to analyze issues arising in the effort to promote health equity through digital technology and AI. Based on an analysis of ethical principles for the promotion of health equity, this research article aims to synthesize an ethical framework for analyzing issues related to the promotion of health equity through digital technology and AI. Results of the study showed a synthesized framework that comprises two main groups of ethical principles: general principles and principles of management. The latter is meant to serve the implementation of the former. The general principles comprise four core principles: Human Dignity, Justice, Non-maleficence, and Beneficence, covering major principles and minor principles. For example, the core principle of Human Dignity includes three major principles (Non-humanization, Privacy, and Autonomy), and two minor principles (Explicability and Transparency). Other core principles have their relevant major and minor principles. The principles of management can be categorized according to their goals to serve different core principles. An illustration of applying the ethical framework is offered through the analysis and categorization of issues solicited from experts in multidisciplinary workshops on digital technology, AI, and health equity.
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CiteScore
1.20
自引率
11.10%
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