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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人工智能伦理的道德相关性方法

人工智能（AI）伦理被认为是一个新兴的跨学科领域，致力于解决人工智能的伦理问题，例如道德决策问题。我们直觉的道德判断之间的冲突构成了人工智能伦理决策不可避免的障碍。本文概述了道德相关性方法，它可以为人工智能伦理提供相当大的道德基础。以道德相关性作为结果主义原则的前提，道德相关性方法旨在合理地考虑个人的道德主张。它不仅是塑造我们道德共识的共同道德目标，也是我们与他人联系的内在道德能力。