This article addresses the need for adaptive ethical analysis within machine learning that accounts for emerging problems concerning social bias and generative adversarial networks (gan s). I use John Dewey’s criticisms of the reflex arc concept in psychology as a basis for understanding how these problems stem from human-gan interaction. By combining Dewey’s criticisms with Donna Haraway’s idea of cyborgs, Luciano Floridi’s concept of distributed morality, and Shaowen Bardzell’s recommendations for a feminist approach to human-computer interaction, I suggest a dynamic perspective from which to begin analyzing and solving issues of injustice evident in this particular domain of machine learning.

本文解决了机器学习中自适应伦理分析的需求，该分析解决了有关社会偏见和生成对抗网络 ( gans ) 的新问题。我用的反射弧概念的杜威的批评心理学作为了解这些问题是如何从人-干的基础甘互动。通过将杜威的批评与唐娜·哈拉维的半机械人思想、卢西亚诺·弗洛里迪的分布式道德概念以及绍文·巴泽尔对人机交互的女权主义方法的建议相结合，我提出了一个动态的视角，从它开始分析和解决本文中显而易见的不公正问题。机器学习的特定领域。