The Ethical Algorithm

Douban
The Ethical Algorithm

Inscrivez ou connectez-vous pour évaluer cette œuvre ou l'ajouter à votre collection.

ISBN: 9780190948207
écrit par: Michael Kearns / Aaron Roth
édition: Oxford University Press
date de publication: 2019 -11
nombre de pages: 232

/ 10

0 évaluations

Pas assez d'évaluations
Acheter ou emprunter

The Science of Socially Aware Algorithm Design

Michael Kearns / Aaron Roth   

résumé

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. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

contenus

Introduction
Chapter 1: Algorithmic Privacy: The Power of Randomization
Chapter 2: Fairness: Discriminating Algorithms
Chapter 3: Games People Play (With Algorithms)
Chapter 4: Lost in the Garden: Led Astray by Data
Chapter 5: Risky Business: Interpretability, Morality, and the Singularity
Some Concluding Thoughts
Acknowledgements
Notes

commentaires
Avis
Notes