Muutke küpsiste eelistusi

Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future [Pehme köide]

  • Formaat: Paperback / softback, 262 pages, kõrgus x laius x paksus: 229x152x15 mm, kaal: 408 g, 1 b-w figure, 6 color figures
  • Ilmumisaeg: 07-Jan-2025
  • Kirjastus: University of California Press
  • ISBN-10: 0520402847
  • ISBN-13: 9780520402843
  • Formaat: Paperback / softback, 262 pages, kõrgus x laius x paksus: 229x152x15 mm, kaal: 408 g, 1 b-w figure, 6 color figures
  • Ilmumisaeg: 07-Jan-2025
  • Kirjastus: University of California Press
  • ISBN-10: 0520402847
  • ISBN-13: 9780520402843
"Predatory Data illuminates the throughline between the nineteenth century's anti-immigration and eugenics movements and our sprawling systems of techno-surveillance and algorithmic discrimination. With this book, Anita Say Chan offers a historical, globally multisited analysis of the relations of dispossession, misrecognition, and segregation expanded by dominant knowledge institutions in the Age of Big Data. While technological advancement has a tendency to feel inevitable, it always has a history, including efforts to chart a path for alternative futures and the important parallel story of defiant refusal and liberatory activism. Chan explores how more than a century ago, feminist, immigrant, and other minoritized actors refused dominant institutionalresearch norms and worked to develop alternative data practices whose methods and traditions continue to reverberate through global justice-based data initiatives today. Looking to the past to shape our future, this book charts a path for an alternative historical consciousness grounded in the pursuit of global justice"--

The first book to draw a direct line between the datafication and prediction techniques of past eugenicists and today's often violent and extractive "big data" regimes. 

Predatory Data illuminates the throughline between the nineteenth century's anti-immigration and eugenics movements and our sprawling systems of techno-surveillance and algorithmic discrimination. With this book, Anita Say Chan offers a historical, globally multisited analysis of the relations of dispossession, misrecognition, and segregation expanded by dominant knowledge institutions in the Age of Big Data.
 
While technological advancement has a tendency to feel inevitable, it always has a history, including efforts to chart a path for alternative futures and the important parallel story of defiant refusal and liberatory activism. Chan explores how more than a century ago, feminist, immigrant, and other minoritized actors refused dominant institutional research norms and worked to develop alternative data practices whose methods and traditions continue to reverberate through global justice-based data initiatives today. Looking to the past to shape our future, this book charts a path for an alternative historical consciousness grounded in the pursuit of global justice.

A free ebook version of this title is available through Luminos, University of California Press’s Open Access publishing program. Visit www.luminosoa.org to learn more.

Arvustused

"An illuminating and unsettling depiction of Big Tech as deeply enmeshed in an ethically compromised brand of social science." * Publishers Weekly * "Anita Say Chan illuminates the throughline between the nineteenth century's anti-immigration and eugenics movements and our sprawling systems of techno-surveillance and algorithmic discrimination. . . . Looking to the past to shape our future, Predatory Data effectively charts a path for an alternative historical consciousness grounded in the pursuit of global justice. . . . Invaluable."   * Midwest Book Review * "Chans book shares lessons that society can learn from todays global justice-based data initiatives and from the data collaborations of earlier feminists, immigrants, and other minorities who refused eugenic models." * Eurasia Review * "Just as eugenicists championed their data collection practices to justify their beliefs and practices as 'evidence-based,' todays tech giants employ data and algorithms that harm minority groups under the guise of technological impartiality and the promise of an optimized future. . . . Chan urges the reader to push back, sharing a playbook for resisting datafication and prediction systems that recreate our biased past and reinforce majority voices." * Choice *

Contents

Acknowledgments 

Introduction: Predatory Data: Civic Amputations in the Global Data Economy 

1 Immigrant Excisions, Race Suicide, and the Eugenic Information
Market 
2 Streamlinings Laboratories: Monitoring Culture and Eugenic Design in
the Future City 
3 Of Merit, Metrics, and Myth: Cognitive Elites and Techno-Eugenics in the
Knowledge Economy 
4 Relational Infrastructures: Feminist Refusals and Immigrant Data
Solidarities 
5 The Coalitional Lives of Data Pluralism: Intergenerational Feminist
Resistance to Data Apartheid 
6 Community Data: Pluri-Temporalities in the Aftermath of Big Data 
Conclusion: Data Pluralism and a Playbook for Defending Improbable Worlds 

Notes 
References 
Index 
Anita Say Chan is a feminist and decolonial scholar of Science and Technology Studies and Associate Professor of Information Sciences and Media Studies at the University of Illinois, Urbana-Champaign.