人工智能伦理的道德相关性方法

IF 0.6 Q2 HISTORY & PHILOSOPHY OF SCIENCE
Shuaishuai Fang
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引用次数: 0

摘要

人工智能(AI)伦理学是一个新兴的跨学科领域,旨在解决人工智能的伦理问题,如道德决策问题。我们的直觉道德判断之间的冲突是人工智能伦理学决策过程中不可避免的障碍。本文概述了 "道德相关性方法"(Moral Relevance Approach),该方法可为人工智能伦理学提供重要的道德基础。以道德相关性作为结果论原则的前提,道德相关性方法旨在合理地考虑个体的道德诉求。它不仅是形成我们道德共识的共同道德目标,也是将他人与我们联系在一起的内在道德能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moral Relevance Approach for AI Ethics
Artificial intelligence (AI) ethics is proposed as an emerging and interdisciplinary field concerned with addressing the ethical issues of AI, such as the issue of moral decision-making. The conflict between our intuitive moral judgments constitutes an inevitable obstacle to decision-making in AI ethics. This article outlines the Moral Relevance Approach, which could provide a considerable moral foundation for AI ethics. Taking moral relevance as the precondition of the consequentialist principles, the Moral Relevance Approach aims to plausibly consider individual moral claims. It is not only the common ethical target shaping our moral consensus but also the inherent moral ability connecting others with us.
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来源期刊
Philosophies
Philosophies Multiple-
CiteScore
1.30
自引率
11.10%
发文量
122
审稿时长
11 weeks
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