Delft University of Technology-Ethics & Philosophy of Technology, Delft, The Netherlands.
Bioethics. 2022 Jun;36(5):547-555. doi: 10.1111/bioe.13018. Epub 2022 Mar 15.
Artificial intelligence (AI) can transform health care by delivering medical services to underserved areas, while also filling gaps in health care provider availability. However, AI may also lead to patient harm due to fatal glitches in robotic surgery, bias in diagnosis, or dangerous recommendations. Despite concerns ethicists have identified in the use of AI in health care, the most significant consideration ought not be vulnerabilities in the software, but the environmental impact of AI. Health care emits a significant amount of carbon in many countries. As AI becomes an essential part of health care, ethical reflection must include the potential to negatively impact the environment. As such, this article will first overview the carbon emissions in health care. It will, second, offer five reasons why carbon calculations are insufficient to address sustainability in health care. Third, the article will derive normative concepts from the goals of medicine, the principles of biomedical ethics, and green bioethics-the very locus in which AI in health care sits-to propose health, justice, and resource conservation as criteria for sustainable AI in health care. In the fourth and final part of the article, examples of sustainable and unsustainable development and use of AI in health care will be evaluated through the three-fold lens of health, justice, and resource conservation. With various ethical approaches to AI in health care, the imperative for environmental sustainability must be underscored, lest carbon emissions continue to increase, harming people and planet alike.
人工智能(AI)可以通过向服务不足的地区提供医疗服务,同时填补医疗服务提供者可用性的空白,从而改变医疗保健。然而,由于机器人手术中的致命故障、诊断中的偏见或危险的建议,人工智能也可能导致患者受到伤害。尽管伦理学家已经在医疗保健中使用人工智能方面发现了一些问题,但最需要考虑的不应该是软件的漏洞,而是人工智能的环境影响。在许多国家,医疗保健都会排放大量的碳。随着人工智能成为医疗保健的重要组成部分,伦理反思必须包括对环境产生负面影响的可能性。因此,本文将首先概述医疗保健中的碳排放。其次,它将提供五个理由来说明为什么碳计算不足以解决医疗保健的可持续性问题。第三,本文将从医学目标、生物医学伦理原则和绿色生物伦理学中推导出规范性概念,人工智能就在这个位置,将健康、正义和资源保护作为医疗保健中人工智能可持续性的标准。在文章的第四部分和最后一部分,将通过健康、正义和资源保护的三重视角来评估医疗保健中人工智能的可持续和不可持续的发展和使用。在医疗保健中使用人工智能有各种伦理方法,必须强调环境可持续性的紧迫性,以免碳排放继续增加,对人和地球都造成伤害。