Get Fast, Free Shipping with Amazon Prime FREE Returns
Return this item for free
  • Free returns are available for the shipping address you chose. You can return the item for any reason in new and unused condition: no shipping charges
  • Learn more about free returns.
FREE delivery Wednesday, February 1 if you spend $25 on items shipped by Amazon
Or fastest delivery Tuesday, January 31. Order within 4 hrs 10 mins
In Stock.
[{"displayPrice":"$23.95","priceAmount":23.95,"currencySymbol":"$","integerValue":"23","decimalSeparator":".","fractionalValue":"95","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"xWmXUtpY20ZJKkX%2F1t%2FLsSnoJ7gP%2B%2FSpjDQLDLEE0NK6kFK2ExAfcK2D6d45Iwa1o4lAhfjdrM%2BinL7iXGAQBzoEWrMbFsny%2FqLxg7wqSHbzzTmfzf5LS5BLxj9QXokletOn9PbIAwPEZuh5om%2By8w%3D%3D","locale":"en-US","buyingOptionType":"NEW"},{"displayPrice":"$20.34","priceAmount":20.34,"currencySymbol":"$","integerValue":"20","decimalSeparator":".","fractionalValue":"34","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"T24lJd5Ni2NRthuWOdH5BYgQgduFjdvyUs6cpCDGEO1ck%2B5h6oibB6wRzBD45nv2U2xALqDFf3Di236YaQ%2B0QAXFsMn5WarePQDEBZlck02sOMkoxZTPohSi99NxD736zeOPX23oD%2B1cRrhtutp0egq0VY1sjswm9a1BWUr1J6YT%2B6T2siWx5w%3D%3D","locale":"en-US","buyingOptionType":"USED"}]
$$23.95 () Includes selected options. Includes initial monthly payment and selected options. Details
Price
Subtotal
$$23.95
Subtotal
Initial payment breakdown
Shipping cost, delivery date, and order total (including tax) shown at checkout.
Secure transaction
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
Ships from
Amazon.com
Sold by
Amazon.com
Ships from
Amazon.com
Sold by
Amazon.com
Return policy: Eligible for Return, Refund or Replacement within 30 days of receipt
This item can be returned in its original condition for a full refund or replacement within 30 days of receipt.
Read full return policy
The Ethical Algorithm: Th... has been added to your Cart
FREE delivery January 31 - February 3. Details
Used: Acceptable | Details
Sold by Warrior Gabby Books
Condition: Used: Acceptable
Comment: Great buy on a reading copy that MAY HAVE significant exterior wear and or excessive internal markings. FRAYED EDGES CORNERS. LIGHT SOILING OVER THE FRONT & BACK OF THE DUST JACKET.
Access codes and supplements are not guaranteed with used items.
Have one to sell?
Sell on Amazon
Other Sellers on Amazon
Added
$20.58
& FREE Shipping
Sold by: Book Depository US
Sold by: Book Depository US
(949836 ratings)
91% positive over last 12 months
In stock.
Usually ships within 3 to 4 days.
Shipping rates and Return policy
Added
$19.35
+ $3.99 shipping
Sold by: allnewbooks
Sold by: allnewbooks
(270858 ratings)
91% positive over last 12 months
In stock.
Usually ships within 4 to 5 days.
Shipping rates and Return policy
Added
$21.05
+ $3.99 shipping
Sold by: ZiFiti
Sold by: ZiFiti
(2457 ratings)
96% positive over last 12 months
In stock.
Usually ships within 4 to 5 days.
Shipping rates and Return policy
Amazon book clubs early access
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Explore Amazon Book Clubs
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required. Learn more

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera - scan the code below and download the Kindle app.

QR code to download the Kindle App

Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more

Follow the Author

Aaron Roth
Something went wrong. Please try your request again later.

The Ethical Algorithm: The Science of Socially Aware Algorithm Design Illustrated Edition

by Michael Kearns (Author), Aaron Roth (Author)
4.6 out of 5 stars 166 ratings
See all formats and editions
Price
New from Used from
Kindle
$9.99
— —
Audible Audiobook, Unabridged
$0.00
Free with your Audible trial
Hardcover, Illustrated
$23.95
$16.79 $16.15
Audio CD, CD, Unabridged
$24.04
$24.04 —

Enhance your purchase

Previous page
  1. ISBN-10
    0190948205
  2. ISBN-13
    978-0190948207
  3. Edition
    Illustrated
  4. Publisher
    Oxford University Press
  5. Publication date
    November 1, 2019
  6. Language
    English
  7. Dimensions
    9.3 x 0.9 x 6.1 inches
  8. Print length
    232 pages
  9. See all details
Next page
Check out reading-themed apparel and accessories in the new Amazon Books merch shop

Frequently bought together

  • The Ethical Algorithm: The Science of Socially Aware Algorithm Design
  • +
  • Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
  • +
  • Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Total price:
To see our price, add these items to your cart.
Choose items to buy together.

From the Publisher

Editorial Reviews

Review


"...the authors take us on a journey through the main socio-algorithmic problems representing social constraints upon algorithms, their consequences and trade-offs. [T]hey provide concrete technical solutions for the challenges discussed throughout the book's 5 chapters: privacy, fairness, user-data-algorithm feedback loop, data-driven scientific discoveries and (brief) thoughts on the ethical issues (transparency, accountability, morality) yet to be pursued scientifically." -- ESSSAT News & Reviews


"It is elegantly written, easy to read and full of entertaining examples." -- Martin Peterson, Prometheus


"The data science revolution has important ethical underpinnings. The authors make a powerful case for the development of AI ethics as a subject in its own right. The Ethical Algorithm shows that apocalyptic predictions of an algorithmized society are far from inevitable. Anyone interested in AI should read and process this essential book."
--Dr. Marcos Lopez de Prado, C.E.O. of True Positive Technologies, L.P., and Quant of the Year 2019 (The Journal of Portfolio Management)


"Is the road to hell paved with well-intentioned algorithms? Many think so. For a more level-headed view, read this timely book by two leading experts: clear, concise, focused on understanding the problems and figuring out solutions, it's your perfect guide to the new science of ethical algorithms."
--Dr. Pedro Domingos, Professor of Computer Science at the University of Washington and Author of The Master Algorithm


"Can ethics ever be 'encoded' into algorithms? In this very timely book, Michael Kearns and Aaron Roth present a range of algorithmic solutions to problems seemingly inherent to algorithmic decision-making. In a very methodical yet entertaining manner, they highlight the potential of fixing issues related to privacy, fairness, and interpretability within algorithms without losing sight of the ongoing importance of human judgment."
--Dr. Dorothea Baur, Author and International Technology Ethics Consultant


"In a world with unprecedented access to data, this well researched book tackles the near term risks with concrete, real world examples that are facing algorithms today. The Ethical Algorithm is clearly articulated and full of insights."
--Carol E. Reiley, Cofounder, Advisor, and Board Member of Drive.ai


"Both Kearns and Roth, professors of computer and information science at the University of Pennsylvania, who have written extensively on algorithms and data science, here do a thorough job of explaining the science of algorithm design and the ethical and inherent technical difficulties in doing so."--Library Journal


"If you are interested in your online footprint, or just confused about the adverts you receive, I cannot recommend The Ethical Algorithm enough. It is a thought-provoking yet easy read, demystifies the processing of large datasets and neatly lays out the power -- and ultimately the limits -- of designing more responsible machine-learning algorithms."

--Nature Physics


"Recommended for anyone with an interest in technology and the ethical implications of our increasing use of algorithms."--Andrei Rogobete, The Centre for Enterprise, Markets, and Ethics


About the Author


Michael Kearns is Professor and the National Center Chair in the Computer and Information Science department of the University of Pennsylvania, where he has secondary appointments in Economics and the Wharton School. He is also the Founding Director of Penn's Warren Center for Network and Data Sciences. Kearns has published widely in machine learning, artificial intelligence, algorithmic game theory and quantitative finance. He has worked extensively in the finance and technology industries, and consulted on various legal and regulatory matters involving algorithms, data, and machine learning. Together with U.V. Vazirani, he is the author of An Introduction to Computational Learning Theory.

Aaron Roth is the class of 1940 Bicentennial Term Associate Professor in the Computer and Information Science department at the University of Pennsylvania, where he co-directs Penn's program in Networked and Social Systems Engineering. Roth has published widely in algorithms, machine learning, data privacy, and algorithmic game theory, and has consulted extensively about algorithmic privacy. He is the recipient of numerous awards, including a Presidential Early Career Award for Scientists and Engineers (PECASE) awarded by President Obama in 2016. Together with Cynthia Dwork, he is the author of The Algorithmic Foundations of Differential Privacy.

Product details

  • Publisher ‏ : ‎ Oxford University Press; Illustrated edition (November 1, 2019)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 232 pages
  • ISBN-10 ‏ : ‎ 0190948205
  • ISBN-13 ‏ : ‎ 978-0190948207
  • Item Weight ‏ : ‎ 1.06 pounds
  • Dimensions ‏ : ‎ 9.3 x 0.9 x 6.1 inches
  • Customer Reviews:
    4.6 out of 5 stars 166 ratings

About the author

Follow authors to get new release updates, plus improved recommendations.

Aaron Roth

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Aaron Roth is a Professor in the Computer and Information Science department at the University of Pennsylvania, where he co-directs Penn's program in Networked and Social Systems Engineering. Roth has published widely in algorithms, machine learning, data privacy, and algorithmic game theory, and has consulted extensively about algorithmic privacy. He is the recipient of numerous awards, including a Presidential Early Career Award for Scientists and Engineers (PECASE) awarded by President Obama in 2016. Together with Cynthia Dwork, he is the author of The Algorithmic Foundations of Differential Privacy.

Customer reviews

4.6 out of 5 stars
4.6 out of 5
166 global ratings
5 star
73%
4 star
20%
3 star
4%
2 star
1%
1 star
1%

Top reviews from the United States

John
VINE VOICE
5.0 out of 5 stars An amazing theoretical insight in ethical algorithmic design
Reviewed in the United States 🇺🇸 on April 24, 2022
Verified Purchase
Customer image
John
5.0 out of 5 stars An amazing theoretical insight in ethical algorithmic design
Reviewed in the United States 🇺🇸 on April 24, 2022
I did not study computer science, though I do work as a data analyst. I’ve learned a lot of new things from this book, many of the constraints the author touched on in the book, such as: fairness, k-anonymity, differential privacy, even the process of analysing data for research have really changed the way I view my work in terms of ethical data handling, and the process in which I conduct my analysis.

It’s an amazing for computer scientist, software developers, anyone who works with data, and even policy makers or tech enthusiasts.
Images in this review
Customer image
Customer image
Helpful
 Report abuse
Colin F
4.0 out of 5 stars Digestible, thorough summary of a complicated issue
Reviewed in the United States 🇺🇸 on July 14, 2021
Verified Purchase
Helpful
 Report abuse
Bryan Reagan
5.0 out of 5 stars Great Book on a Current Issue
Reviewed in the United States 🇺🇸 on May 18, 2021
Verified Purchase
Helpful
 Report abuse
Nick
5.0 out of 5 stars There is a lot to unpack here!
Reviewed in the United States 🇺🇸 on August 6, 2021
Verified Purchase
One person found this helpful
Helpful
 Report abuse
Bryce
2.0 out of 5 stars What's interesting isn't new, and what's new isn't interesting
Reviewed in the United States 🇺🇸 on November 2, 2020
Verified Purchase
16 people found this helpful
Helpful
 Report abuse
Lex Fridman
5.0 out of 5 stars An Important Book for Our Time
Reviewed in the United States 🇺🇸 on November 4, 2019
Verified Purchase
18 people found this helpful
Helpful
 Report abuse
Lx
4.0 out of 5 stars A good introductory book
Reviewed in the United States 🇺🇸 on September 17, 2020
Verified Purchase
Helpful
 Report abuse
Paul
5.0 out of 5 stars Great read for a non-computer science person
Reviewed in the United States 🇺🇸 on August 29, 2020
Verified Purchase
One person found this helpful
Helpful
 Report abuse

Top reviews from other countries

Harry Hughes
5.0 out of 5 stars Brilliantly done!
Reviewed in the United Kingdom 🇬🇧 on November 14, 2021
Verified Purchase
Report abuse
Kindle Customer
5.0 out of 5 stars I learned a lot about ML, privacy and ethical issues
Reviewed in Germany 🇩🇪 on November 14, 2020
Verified Purchase
Report abuse
CJ
5.0 out of 5 stars Informative and interesting read
Reviewed in Canada 🇨🇦 on May 20, 2020
Verified Purchase
One person found this helpful
 Report abuse
harryp
4.0 out of 5 stars I expected more practical implications, but there aren’t now
Reviewed in Spain 🇪🇸 on December 3, 2019
Verified Purchase
One person found this helpful
 Report abuse
Edgar
5.0 out of 5 stars We should all be reading this!
Reviewed in Germany 🇩🇪 on January 14, 2021
Verified Purchase
Report abuse