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

Format:

Book

Author/Creator:

Davis, Jenny L.

Language:

English

Physical Description:

1 online resource (158 pages)

Edition:

1st ed.

Place of Publication:

Berkeley : University of California Press, 2026.

Summary:

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.

Contents:

Cover

Title Page

Copyright

Dedication

Contents

Introduction

Part One

1. What's Wrong with Fairness?

2. Toward a Reparative Research Program

Part Two

Interlude: Speculative Design for Reparative Algorithmic Futures

3. Speculative Design I: Pik | A Reparative Dating App for Black Women and Femmes

4. Speculative Design II: The Power-to-Prove Legal Paradigm

Part Three

5. Obstacles and Inroads

Conclusion

Acknowledgments

Notes

Bibliography

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

0-520-41830-1

9780520418301

OCLC:

1584469581