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The Future of Digital Surveillance: Why Digital Monitoring Will Never Lose Its Appeal in a World of Algorithm-Driven AI

by Yong Jin Park

University of Michigan Press, 2021
eISBN: 978-0-472-12882-2 | Paper: 978-0-472-05484-8 | Cloth: 978-0-472-07484-6
Library of Congress Classification HM846.P36 2021
Dewey Decimal Classification 005.8

ABOUT THIS BOOK | AUTHOR BIOGRAPHY | REVIEWS | TOC | REQUEST ACCESSIBLE FILE

ABOUT THIS BOOK

Are humans hard-wired to make good decisions about managing their privacy in an increasingly public world? Or are we helpless victims of surveillance through our use of invasive digital media? Exploring the chasm between the tyranny of surveillance and the ideal of privacy, this book traces the origins of personal data collection in digital technologies including artificial intelligence (AI) embedded in social network sites, search engines, mobile apps, the web, and email. The Future of Digital Surveillance argues against a technologically deterministic view—digital technologies by nature do not cause surveillance. Instead, the shaping of surveillance technologies is embedded in a complex set of individual psychology, institutional behaviors, and policy principles.

AUTHOR BIOGRAPHY

Yong Jin Park is Professor at Howard University.

REVIEWS

“While the end of privacy as we know it is a certainty, privacy is not doomed. In this analytically strong book, Yong Jin Park shows that regulatory solutions are available, at least in the US and the EU. The strongest achievement of this book is the full integration of the individual perspective of privacy and the institutional drive of surveillance enabled by AI and Big Data.”
—Jan A.G.M. van Dijk, Professor of Communication Science and the Information Society at the University of Twente and author of The Network Society (1999/2020)

— Jan A.G.M. van Dijk

“With deep insight and conceptual clarity, Professor Park constructs a rich map of the modern privacy terrain. Resisting caricature and simplistic diagnoses, he teases out the complex interplay between individual agency and institutional drivers within the modern political, economic, social, and technological ecosystems. This book is an illuminating read for all who care about the future of privacy in an increasingly algorithmic world.”
—Jerry Kang, Distinguished Professor of Law and (by courtesy) Asian American Studies, UCLA

— Jerry Kang

“Professor Park has produced a comprehensive and quite timely engagement with the technological, social, economic, and political influences in the current status and likely future of the privacy that individuals and collectives can hope to enjoy. His presentation of critical issues, concerns, and potential responses deserves wide readership.”
—Oscar Gandy, University of Pennsylvania

— Oscar Gandy

"Yong Jin Park has produced a remarkably nuanced, balanced, and engaging analysis of the polarized debate about privacy in the digital age. This isn’t a rhetorical collection of anecdotes. It is thoughtfully crafted social science. Park’s explanation of how artificial intelligence and algorithms enter the mix make the book unique."
—W. Russell Neuman, New York University

— W. Russell Neuman

TABLE OF CONTENTS

Contents

List of Figures

List of Tables

Preface

Acknowledgments

Part I: Introduction

1.1. The Battle over Control of Digital Privacy

1.2. Theorizing Erving Goffman’s Hunch

Part II: Fundamentals of Privacy and Surveillance

2.1. The Political Economy of Privacy and Personal Data Surveillance

2.2. Evidential Trends: The Locus of Privacy Protection in the Marketplace

2.3. Conclusion: Privacy, Market Externalities, and Dual Responses to Privacy and Surveillance

3.1. Social Psychology of Privacy

3.2. Empirical Evidence in Two Strands

3.3. Conclusion: People’s Cognitive Agency, Stratification, and Inequalities

4.1. The Logic of Minimal Policy Intervention in Digital Marketplaces

4.2. “Vast Wonderlands” of Privacy, Policies, and the Digital Ecosystem

Part III: Understanding the Future of AI and Its Challenge

5.1. The Unregulated Industry of Algorithms and AI

5.2. AI, Big Data, and Intelligent Machines

5.3. The Normalization of Data Surveillance in the AI-Based Ecosystem

Part IV: Conclusion

Chapter 6. Alternative Policy Principles, Options, and Recommendations

6.1. A New Paradigmatic Solution of “East Coast” and “West Coast” Codes

6.2. Norm Creation: Lessons from the Fight against Global Climate Change

7.1. Stories of Two Smart Cities—and a Yet Smarter One

7.2. Social Construction of AI: Goffman’s Public- Private Boundary Management

7.3. The Business of Formulating Directional Hypotheses

7.4. The Decisive Epoch: Look Back to Look Ahead

Appendix A. The Locus of Privacy Protection in the Marketplace

B.1. Knowledge Networks Study: All Measures Analyzed

B.2. Privacy Mobile Study: Mobile Privacy Knowledge

Notes

References

Index

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