Machine see, machine do : how technology mirrors bias in our criminal justice system / Patrick K. Lin.

Format:

Book

Author/Creator:

Lin, Patrick K., author.

Language:

English

Subjects (All):

Criminal justice, Administration of.

Physical Description:

1 online resource (139 pages)

Edition:

1st ed.

Place of Publication:

[Place of publication not identified] : New Degree Press, [2021]

Summary:

"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.

Contents:

Intro

Contents

Introduction

Part 1. Ghost in the Machine

Chapter 1. Franglen's Monster

Chapter 2. Automating Bias

Part 2. Automating the Watchers

Chapter 3. Lights, Camera, Surveillance!

Chapter 4. Cloudy Crystal Ball: Predictive Policing

Chapter 5. Smile! You're on Camera: Video Surveillance

Chapter 6. AI Spy with My Little Eye: Facial Recognition

Part 3. False Positive

Chapter 7. Smoking Gun or Smoke and Mirrors: Forensic Evidence

Chapter 8. Beyond a Relative Doubt: Forensic DNA Databases &amp

Familial DNA Searches

Part 4. May It Please the Algorithm

Chapter 9. Algorithms Get Their Day in Court

Chapter 10. Behind Closed Source: How the Law Keeps Algorithms Hidden from Us

Chapter 11. Digital Shackles: How Parole Apps Put Prison in Your Pocket

Part 5. Troubleshooting the Problem

Chapter 12. Futureproofing Our Civil Liberties

Chapter 13. The Wild, Wild West: The Role of Government

Chapter 14. Flipping the Script: The Role of the Private Sector

Chapter 15. Beyond Technology: Expecting More from AI

Acknowledgments

Appendix.

Notes:

Description based on print version record.

Other Format:

Print version: Lin, Patrick, K. Machine See, Machine Do

ISBN:

9781637309674

OCLC:

1290021956