The Ethical Algorithm, Aaron Roth
The Ethical Algorithm, Aaron Roth
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The Ethical Algorithm
The Science of Socially Aware Algorithm Design

Author: Aaron Roth, Michael Kearns

Narrator: Teri Schnaubelt

Unabridged: 6 hr 27 min

Format: Digital Audiobook Download

Publisher: Tantor Media

Published: 07/14/2020

Includes: Bonus Material Bonus Material Included


Synopsis

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps.

Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations, and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code—without halting the advance of data-driven scientific exploration.

About Aaron Roth

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 codirects 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.


Reviews

This is a good overview of some of the ways in which we can address privacy and fairness constraints in machine learning algorithm design. It covers a lot of the tension between prioritizing accuracy versus prioritizing ethics when designing models, as well as some of the limitations and unexpected......more

Goodreads review by Ruhi

very well-written! perhaps marginally more difficult to grasp the technical references for someone not familiar w general algorithm theory or comfortable with statistics & discrete math; even though those explanations were redundant w my knowledge, the discussion & applications were pretty fresh and......more