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An intelligence in our image : the risks of bias and errors in artificial intelligence /

"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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Osoba, Osonde (Autor), Welser, William, IV (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Santa Monica, Calif. : RAND, [2017]
Colección:Research report (Rand Corporation) ; RR-1744-RC.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Osoba, Osonde,  |e author. 
245 1 3 |a An intelligence in our image :  |b the risks of bias and errors in artificial intelligence /  |c Osonde A. Osoba, William Welser IV. 
246 3 |a Risks of Bias and Errors in Artificial Intelligence 
264 1 |a Santa Monica, Calif. :  |b RAND,  |c [2017] 
264 4 |c ©2017 
300 |a 1 online resource (ix, 34 pages) :  |b color illustrations 
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490 1 |a Research report ;  |v RR-1744-RC 
500 |a "April 5, 2017"--Table of contents page. 
520 |a "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. 
504 |a Includes bibliographical references (pages 29-34). 
505 0 |a Introduction -- Algorithms: definition and evaluation -- The problem in focus: factors and remedies -- Conclusion. 
588 0 |a Print version record. 
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650 0 |a Machine learning. 
650 0 |a Artificial intelligence  |x Attitudes. 
650 0 |a Computational learning theory. 
650 0 |a Errors. 
650 6 |a Apprentissage automatique. 
650 6 |a Intelligence artificielle  |x Attitudes. 
650 6 |a Théorie de l'apprentissage informatique. 
650 6 |a Erreurs. 
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650 7 |a Errors.  |2 fast  |0 (OCoLC)fst00915038 
650 7 |a Machine learning.  |2 fast  |0 (OCoLC)fst01004795 
700 1 |a Welser, William,  |c IV,  |e author. 
710 2 |a Rand Corporation,  |e publisher,  |e issuing body. 
776 0 8 |i Print version:  |a OSOBA, OSONDE.  |t INTELLIGENCE IN OUR IMAGE.  |d SANTA MONICA : RAND CORPORATION, 2017  |z 0833097636  |w (OCoLC)984705771 
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