| Sumario: | 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.
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