Ameliorating Algorithmic Bias, or Why Explainable AI Needs Feminist Philosophy

Ameliorating Algorithmic Bias, or Why Explainable AI Needs Feminist Philosophy

Artificial intelligence (AI) systems are increasingly adopted to make decisions in domains such as business, education, health care, and criminal justice. However, such algorithmic decision systems can have prevalent biases against marginalized social groups and undermine social justice. Explainabl...

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Bibliographic Details
Main Authors: Linus Ta-Lun Huang, Hsiang-Yun Chen, Ying-Tung Lin, Tsung-Ren Huang, Tzu-Wei Hung
Format: Article
Language:English
Published: University of Western Ontario 2022-12-01
Series:Feminist Philosophy Quarterly
Subjects:
algorithmic bias
explainable artificial intelligence
feminist epistemology
situated knowledge
epistemic injustice
Online Access:https://ojs.lib.uwo.ca/index.php/fpq/article/view/14347

Internet

https://ojs.lib.uwo.ca/index.php/fpq/article/view/14347

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