Pragmatic ethics for generative adversarial networks: Coupling, cyborgs, and machine learning
Document Type
Article
Publication Date
1-1-2021
Abstract
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.
Recommended Citation
Tschaepe, M. (2021). Pragmatic ethics for generative adversarial networks: Coupling, cyborgs, and machine learning. Retrieved from https://digitalcommons.pvamu.edu/arts-and-science-facpubs/22