厘清AI伦理的三种类型，让讨论更聚焦。
Three Kinds of AI Ethics
- 区分伦理与AI、伦理融入AI、AI的伦理三类研究范式
- 指出不同伦理类型的目标和方法差异，避免误判批评
- 适合政策制定者、研究人员和伦理培训者参考
AI伦理领域成果丰硕，但发展迅猛、体量庞大且跨学科，导致难以追踪争论脉络，也难以系统化界定目标、研究问题、方法及所需专业知识。本文提出，人工智能与伦理的关系可从至少三种角度理解，对应三种主流的AI伦理形态：伦理与AI、伦理在AI中、以及AI的伦理。文章阐明了这三类的特征、核心研究问题，并识别出每类所需的专门知识。同时指出，某些对AI伦理的批评实为以一种类型的标准去评判另一类，因而存在偏差。本文有助于澄清AI伦理的本质，为更深入探讨其范围、方法与人才培养奠定基础。
原文摘要 · Abstract (English)
There is an overwhelming abundance of works in AI Ethics. This growth is chaotic because of how sudden it is, its volume, and its multidisciplinary nature. This makes difficult to keep track of debates, and to systematically characterize goals, research questions, methods, and expertise required by AI ethicists. In this article, I show that the relation between AI and ethics can be characterized in at least three ways, which correspond to three well-represented kinds of AI ethics: ethics and AI; ethics in AI; ethics of AI. I elucidate the features of these three kinds of AI Ethics, characterize their research questions, and identify the kind of expertise that each kind needs. I also show how certain criticisms to AI ethics are misplaced, as being done from the point of view of one kind of AI ethics, to another kind with different goals. All in all, this work sheds light on the nature of AI ethics, and sets the groundwork for more informed discussions about the scope, methods, and training of AI ethicists.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。