BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Machine See, Machine Do

Machine See, Machine Do

Machine See, Machine Do
Stock photo: cover may vary

Machine See, Machine Do Paperback - 2021

by Lin, Patrick, K,

Add to wish list
  • New
New

Description

new.
Ask the seller a question Add to wish list
A$17.15
A$5.77 Delivery within USA
Standard delivery: 2 to 14 days
More delivery options
Ships from GreatBookPrices (Maryland, United States)
The BIBLIO Guarantee

Details

  • Title Machine See, Machine Do
  • Author Lin, Patrick, K,
  • Binding Paperback
  • Condition New
  • Pages 254
  • Volumes 1
  • Language ENG
  • Publisher New Degree Press
  • Publication date 2021-12-13
  • Bookseller's Inventory # 44116011-n
  • ISBN 9781637308219 / 1637308213
  • Weight 0.66 lbs (0.30 kg)
  • Dimensions 8.5 x 5.5 x 0.53 in (21.59 x 13.97 x 1.35 cm)
  • Category Technology & Industrial Arts
  • Quantity available 5

About GreatBookPrices Maryland, United States

Biblio member since 2024

Since 1991, we have worked every day to serve our customers with state-of-the-art technology and world class service. We are dedicated to providing customers around the world with the widest selection of books, DVDs, and CDs at the absolute lowest price.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from GreatBookPrices

Reader reviews for Machine See, Machine Do

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

"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.

Please wait a moment while we load the requested page.

tracking-