Take five? A coherentist argument why medical AI does not require a new ethical principle.

Theoretical medicine and bioethics Pub Date : 2024-10-01 Epub Date: 2024-06-08 DOI:10.1007/s11017-024-09676-0
Seppe Segers, Michiel De Proost
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Abstract

With the growing application of machine learning models in medicine, principlist bioethics has been put forward as needing revision. This paper reflects on the dominant trope in AI ethics to include a new 'principle of explicability' alongside the traditional four principles of bioethics that make up the theory of principlism. It specifically suggests that these four principles are sufficient and challenges the relevance of explicability as a separate ethical principle by emphasizing the coherentist affinity of principlism. We argue that, through specification, the properties of explicability are already covered by the four bioethical principles. The paper finishes by anticipating an objection that coherent principles could not facilitate technology induced change and are not well-suited to tackle moral differences.

五选一?连贯主义论证为什么医学人工智能不需要新的伦理原则。
随着机器学习模型在医学中的应用日益广泛,原则主义生命伦理学被提出需要修订。本文反思了人工智能伦理学的主流套路,即在构成原则主义理论的传统生物伦理学四项原则之外,加入一项新的 "可解释性原则"。它特别提出,这四项原则已经足够,并通过强调原则主义的一致性亲和力,对可解释性作为一项单独的伦理原则的相关性提出了质疑。我们认为,通过具体化,可解释性的特性已经被四项生物伦理原则所涵盖。最后,本文预测了一种反对意见,即连贯原则无法促进由技术引发的变革,也不适合解决道德差异问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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