arXiv:2604.06754cs.LGcs.CY2026-04
机器学习本质是说服术，而非中立模型构建方法。
The Rhetoric of Machine Learning
- 从修辞学视角看，机器学习具有内在说服性
- 揭示了'操纵即服务'这一广泛商业模式
- 适合关注技术伦理与社会影响的研究者
本文从修辞学——即说服的艺术——的视角审视机器学习技术。我认为，机器学习并非单纯客观地从数据中构建‘世界模型’的方法，而是本质上具有修辞性。文章探讨了其若干修辞特征，并深入分析了一种广泛应用的商业模型：‘操纵即服务’（manipulation as a service），揭示了机器学习在现实中的非中立应用。
原文摘要 · Abstract (English)
I examine the technology of machine learning from the perspective of rhetoric, which is simply the art of persuasion. Rather than being a neutral and "objective" way to build "world models" from data, machine learning is (I argue) inherently rhetorical. I explore some of its rhetorical features, and examine one pervasive business model where machine learning is widely used, "manipulation as a service."
机器学习修辞学技术伦理
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