Machine See, Machine Do : How Technology Mirrors Bias in Our Criminal Justice System
Language: English
Published by New Degree Press, 2021
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 31.51
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 'When today's technology relies on yesterday's data, it will simply mirror our past mistakes and biases.' AI and other high-tech tools embed and reinforce America's history of prejudice and exclusion - even when they are used with the best intentions. Patrick K. Lin's Machine See, Machine Do: How Technology Mirrors Bias in Our Criminal Justice System takes a deep and thorough look into the use of technology in the criminal justice system, and investigates the instances of coded bias present at every level. In this book, you'll learn how algorithms and high-tech tools are used in unexpected ways: suggesting which neighborhoods to police, predicting whether someone is more or less likely to commit a crime, and determining how long someone's prison sentence should be. Machine See, Machine Do takes you on an eye-opening journey of discovery, encouraging you to think twice about our current system of justice and the technology that supposedly makes it more 'objective' and 'fair.' If you are someone who cares deeply about criminal justice reform, is curious about the role of technology in our day-to-day lives, and ultimately believes we should aspire to make both of these spaces more ethical and safe, this book is for you.…
Seller Inventory # 9781637308219
- Title
- Machine See, Machine Do : How Technology Mirrors Bias in Our Criminal Justice System
- Author
- Patrick K. Lin
- Publisher
- New Degree Press
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1637308213
- ISBN 13
- 9781637308219
- Item weight
- 325 grams
- Dimensions
- 216x140x14 mm
AI and other high-tech tools embed and reinforce America’s history of prejudice and exclusion — even when they are used with the best intentions. Patrick K. Lin’s Machine See, Machine Do: How Technology Mirrors Bias in Our Criminal Justice System takes a deep and thorough look into the use of technology in the criminal justice system, and investigates the instances of coded bias present at every level.
In this book, you’ll learn how algorithms and high-tech tools are used in unexpected ways: suggesting which neighborhoods to police, predicting whether someone is more or less likely to commit a crime, and determining how long someone’s prison sentence should be.
Machine See, Machine Do takes you on an eye-opening journey of discovery, encouraging you to think twice about our current system of justice and the technology that supposedly makes it more “objective” and “fair.” If you are someone who cares deeply about criminal justice reform, is curious about the role of technology in our day-to-day lives, and ultimately believes we should aspire to make both of these spaces more ethical and safe, this book is for you.
"Synopsis" may belong to another edition of this title.
About the Author
Patrick has extensive experience in litigation and policy, having worked for the ACLU, FTC, EFF, and other organizations that advocate for digital rights and social justice. He is passionate about addressing the ethical and legal challenges posed by emerging technologies, especially in the areas of surveillance, algorithmic bias, and data privacy. He serves as the junior board chair of the Surveillance Technology Oversight Project (STOP).
He is a frequent speaker on AI, civil rights law, the history and politics of surveillance, and technology regulation. Patrick has presented before a wide range of professional and academic groups, including Stanford University, UNC School of Law, State of the Net, Cloudflare TV, and various podcasts.
He has a J.D. from Brooklyn Law School and B.A. in Economics from NYU.
"About the title" may belong to another edition of this title.
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