How AI Can Aid Bioethics

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Walter Sinnott-Armstrong, Joshua August Skorburg
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引用次数: 6

Abstract

This paper explores some ways in which artificial intelligence (AI) could be used to improve human moral judgments in bioethics by avoiding some of the most common sources of error in moral judgment, including ignorance, confusion, and bias. It surveys three existing proposals for building human morality into AI: Top-down, bottom-up, and hybrid approaches. Then it proposes a multi-step, hybrid method, using the example of kidney allocations for transplants as a test case. The paper concludes with brief remarks about how to handle several complications, respond to some objections, and extend this novel method to other important moral issues in bioethics and beyond.
人工智能如何帮助生物伦理学
本文探讨了人工智能(AI)在生物伦理学中用来改善人类道德判断的一些方法,避免了道德判断中一些最常见的错误来源,包括无知、困惑和偏见。它调查了在人工智能中构建人类道德的三种现有建议:自上而下、自下而上和混合方法。然后,以移植肾分配为例,提出了一种多步骤的混合方法。文章最后简要介绍了如何处理一些复杂问题,回应一些反对意见,并将这种新方法扩展到生物伦理学及其他重要的道德问题。
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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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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