Feminist epistemology for machine learning systems design

This paper presents a series of feminist epistemological concepts as tools for developing critical, more accountable, and contextualised approaches to machine learning systems design. Namely, we suggest that the methods of situated knowledges or situating, figurations or figuring, diffraction or dif...

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Veröffentlicht in:	arXiv.org 2023-10
Hauptverfasser:	Goda Klumbyte, Piehl, Hannah, Draude, Claude
Format:	Artikel
Sprache:	eng
Schlagworte:	Diffraction Epistemology Machine learning Systems design
Online-Zugang:	Volltext
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