Nyhet

Feminist Machine Learning

Towards New Materialist Informatics

AvGoda Klumbytė

Häftad, Engelska, 2026

Del i serien Dis-positions: Troubling Methods and Theory in STS

705 kr

Kommande

Beskrivning

Available open access digitally under CC-BY-NC-ND licence. What if feminist philosophy could redesign machine learning? This groundbreaking book analyzes how algorithms encode power and shows how critical, transdisciplinary thinking can intervene to build fairer, more accountable AI systems.

Produktinformation

Utgivningsdatum:2026-11-01
Mått:156 x 234 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Dis-positions: Troubling Methods and Theory in STS
Antal sidor:224
Förlag:Bristol University Press
ISBN:9781529256857

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Innehållsförteckning

Introduction1. Why Assemblage? Approaching Machine Learning DiagrammaticallyPart 1: Algorithmic Agency: Probing the Epistemic Operations of Machine Learning2. Linear Regression: From Regression to the Mean to Relation Machines3. K-Nearest Neighbours: Homophily and the Making of Difference4. Decision Trees: Arboreal Organisation of KnowledgePart 2: Learning Otherwise: Critical and Speculative Design Interventions5. Diffracting Power: Critical Machine Learning Artefact Design6. Activating Concepts: Redrawing Machine Learning Design Diagrams7. Speculating Models, Inventing Algorithms: Experimental DiagramsConclusion: Towards New Materialist Informatics as a Critical Technical PracticeAppendix: “Critical Tools for Machine Learning” Workshop Framework and ExercisesReferences