More than a Glitch
eBook - ePub

More than a Glitch

Confronting Race, Gender, and Ability Bias in Tech

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

More than a Glitch

Confronting Race, Gender, and Ability Bias in Tech

About this book

The word "glitch" implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery—what if they're coded into the system itself? In the vein of heavy hitters such as Safiya Umoja Noble, Cathy O'Neil, and Ruha Benjamin, Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable.

Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences.

Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as "other" to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future.

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Yes, you can access More than a Glitch by Meredith Broussard in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Discrimination & Race Relations. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication
  5. Table of Contents
  6. 1. Introduction
  7. 2. Understanding Machine Bias
  8. 3. Recognizing Bias in Facial Recognition
  9. 4. Machine Fairness and the Justice System
  10. 5. Real Students, Imaginary Grades
  11. 6. Ability and Technology
  12. 7. Gender Rights and Databases
  13. 8. Diagnosing Racism
  14. 9. An AI Told Me I Had Cancer
  15. 10. Creating Public Interest Technology
  16. 11. Potential Reboot
  17. Acknowledgments
  18. Bibliography
  19. Index