The Injustice of Fairness: Algorithmic Reparation and the Case for Redress - Rilegato

Davis, Jenny L.; Williams, Apryl A.

Rilegato

ISBN 10: 0520418271 ISBN 13: 9780520418271

Casa editrice: University of California Press, 2026

Riassunto

The Injustice of Fairness shifts the foundation of algorithmic ethics, displacing “fairness” with repair and redress. A substantial and growing field, algorithmic ethics aims to mitigate harms and realize social good. The fairness paradigm dominates this field across AI, machine learning, and other data-driven domains. So far, efforts toward fairness have been unsuccessful, with algorithmic harms that propagate and persist. Jenny L. Davis and Apryl A. Williams explain why algorithmic fairness perpetually fails and present “algorithmic reparation” in its place.
 
The stakes are high because algorithms are everywhere―from law to love, healthcare to housing, education to media, and beyond. More than lines of code or mathematical operations, algorithms carry history, configure the present, and are actively shaping the future. Set against a backdrop of societal instability and technological transformation, The Injustice of Fairness offers a careful critique, original framework, and blueprint for social change with algorithms as entry points and levers.

Dettagli dell'edizione

• Editore: University of California Press
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 0520418271
• ISBN 13: 9780520418271
• Rilegatura: Copertina rigida
• Numero di pagine: 173
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile