The Ethical Algorithm:

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 right...

Full description

Saved in:
Bibliographic Details
Main Authors: Kearns, Michael 1971- (Author), Roth, Aaron 1984- (Author)
Other Authors: Schnaubelt, Teri (Narrator)
Format: Electronic eBook
Language:English
Published: [Erscheinungsort nicht ermittelbar] Tantor Media, Inc. 2020
Edition:1st edition.
Subjects:
Links:https://learning.oreilly.com/library/view/-/9781705237250/?ar
Summary: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.
Item Description:Online resource; Title from title page (viewed July 14, 2020)
Physical Description:1 Online-Ressource (1 sound file)
ISBN:9781705237250
1705237258