| Description |
1 online resource (ix, 34 pages) : color illustrations |
| Series |
Research report ; RR-1744-RC |
|
Research report (Rand Corporation) ; RR-1744-RC.
|
| Contents |
Introduction -- Algorithms: definition and evaluation -- The problem in focus: factors and remedies -- Conclusion |
| Summary |
"Machine learning algorithms and artificial intelligence systems influence many aspects of people's lives: news articles, movies to watch, people to spend time with, access to credit, and even the investment of capital. Algorithms have been empowered to make such decisions and take actions for the sake of efficiency and speed. Despite these gains, there are concerns about the rapid automation of jobs (even such jobs as journalism and radiology). A better understanding of attitudes toward and interactions with algorithms is essential precisely because of the aura of objectivity and infallibility cultures tend to ascribe to them. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems. This report highlights the added risks and complexities inherent in the use of algorithmic decisionmaking in public policy. The report ends with a survey of approaches for combating these problems"--Publisher's description |
| Notes |
"April 5, 2017"--Table of contents page |
| Bibliography |
Includes bibliographical references (pages 29-34) |
| Notes |
Print version record |
| Subject |
Machine learning.
|
|
Artificial intelligence -- Attitudes
|
|
Computational learning theory.
|
|
Errors.
|
|
COMPUTERS -- General.
|
|
Computational learning theory
|
|
Errors
|
|
Machine learning
|
| Form |
Electronic book
|
| Author |
Welser, William, IV, author.
|
|
Rand Corporation, publisher, issuing body.
|
| ISBN |
9780833097668 |
|
0833097660 |
|
