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...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Santa Monica, Calif. :
RAND,
[2017]
|
Schriftenreihe: | Research report (Rand Corporation) ;
RR-1744-RC. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "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. |
Beschreibung: | "April 5, 2017"--Table of contents page. |
Beschreibung: | 1 online resource (ix, 34 pages) : color illustrations |
Bibliographie: | Includes bibliographical references (pages 29-34). |
ISBN: | 9780833097668 0833097660 |
Internformat
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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 | |
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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. | |
650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
650 | 0 | |a Artificial intelligence |x Attitudes. | |
650 | 0 | |a Computational learning theory. |0 http://id.loc.gov/authorities/subjects/sh94004662 | |
650 | 0 | |a Errors. |0 http://id.loc.gov/authorities/subjects/sh85044727 | |
650 | 6 | |a Apprentissage automatique. | |
650 | 6 | |a Intelligence artificielle |x Attitudes. | |
650 | 6 | |a Théorie de l'apprentissage informatique. | |
650 | 6 | |a Erreurs. | |
650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
650 | 7 | |a Computational learning theory |2 fast | |
650 | 7 | |a Errors |2 fast | |
650 | 7 | |a Machine learning |2 fast | |
700 | 1 | |a Welser, William, |c IV, |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjDht43wRMh74mT6wgMGxP |0 http://id.loc.gov/authorities/names/n2010013008 | |
710 | 2 | |a Rand Corporation, |e publisher, |e issuing body. |0 http://id.loc.gov/authorities/names/n78083407 | |
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adam_text | |
any_adam_object | |
author | Osoba, Osonde Welser, William, IV |
author_GND | http://id.loc.gov/authorities/names/n2017181704 http://id.loc.gov/authorities/names/n2010013008 |
author_facet | Osoba, Osonde Welser, William, IV |
author_role | aut aut |
author_sort | Osoba, Osonde |
author_variant | o o oo w w ww |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | Q325 |
callnumber-raw | Q325.5 .O86 2017eb online |
callnumber-search | Q325.5 .O86 2017eb online |
callnumber-sort | Q 3325.5 O86 42017EB ONLINE |
callnumber-subject | Q - General Science |
collection | ZDB-4-EBA |
contents | Introduction -- Algorithms: definition and evaluation -- The problem in focus: factors and remedies -- Conclusion. |
ctrlnum | (OCoLC)982111463 |
dewey-full | 006.31 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
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discipline | Informatik |
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indexdate | 2024-11-27T13:27:46Z |
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series | Research report (Rand Corporation) ; |
series2 | Research report ; |
spelling | Osoba, Osonde, author. http://id.loc.gov/authorities/names/n2017181704 An intelligence in our image : the risks of bias and errors in artificial intelligence / Osonde A. Osoba, William Welser IV. Risks of Bias and Errors in Artificial Intelligence Santa Monica, Calif. : RAND, [2017] ©2017 1 online resource (ix, 34 pages) : color illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Research report ; RR-1744-RC "April 5, 2017"--Table of contents page. "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. Includes bibliographical references (pages 29-34). Introduction -- Algorithms: definition and evaluation -- The problem in focus: factors and remedies -- Conclusion. Print version record. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence Attitudes. Computational learning theory. http://id.loc.gov/authorities/subjects/sh94004662 Errors. http://id.loc.gov/authorities/subjects/sh85044727 Apprentissage automatique. Intelligence artificielle Attitudes. Théorie de l'apprentissage informatique. Erreurs. COMPUTERS General. bisacsh Computational learning theory fast Errors fast Machine learning fast Welser, William, IV, author. https://id.oclc.org/worldcat/entity/E39PCjDht43wRMh74mT6wgMGxP http://id.loc.gov/authorities/names/n2010013008 Rand Corporation, publisher, issuing body. http://id.loc.gov/authorities/names/n78083407 has work: An intelligence in our image (Text) https://id.oclc.org/worldcat/entity/E39PCG6HdDPWrdDKH9KfWrb7d3 https://id.oclc.org/worldcat/ontology/hasWork Print version: OSOBA, OSONDE. INTELLIGENCE IN OUR IMAGE. SANTA MONICA : RAND CORPORATION, 2017 0833097636 (OCoLC)984705771 Research report (Rand Corporation) ; RR-1744-RC. http://id.loc.gov/authorities/names/no2013072664 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1510300 Volltext |
spellingShingle | Osoba, Osonde Welser, William, IV An intelligence in our image : the risks of bias and errors in artificial intelligence / Research report (Rand Corporation) ; Introduction -- Algorithms: definition and evaluation -- The problem in focus: factors and remedies -- Conclusion. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence Attitudes. Computational learning theory. http://id.loc.gov/authorities/subjects/sh94004662 Errors. http://id.loc.gov/authorities/subjects/sh85044727 Apprentissage automatique. Intelligence artificielle Attitudes. Théorie de l'apprentissage informatique. Erreurs. COMPUTERS General. bisacsh Computational learning theory fast Errors fast Machine learning fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh94004662 http://id.loc.gov/authorities/subjects/sh85044727 |
title | An intelligence in our image : the risks of bias and errors in artificial intelligence / |
title_alt | Risks of Bias and Errors in Artificial Intelligence |
title_auth | An intelligence in our image : the risks of bias and errors in artificial intelligence / |
title_exact_search | An intelligence in our image : the risks of bias and errors in artificial intelligence / |
title_full | An intelligence in our image : the risks of bias and errors in artificial intelligence / Osonde A. Osoba, William Welser IV. |
title_fullStr | An intelligence in our image : the risks of bias and errors in artificial intelligence / Osonde A. Osoba, William Welser IV. |
title_full_unstemmed | An intelligence in our image : the risks of bias and errors in artificial intelligence / Osonde A. Osoba, William Welser IV. |
title_short | An intelligence in our image : |
title_sort | intelligence in our image the risks of bias and errors in artificial intelligence |
title_sub | the risks of bias and errors in artificial intelligence / |
topic | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence Attitudes. Computational learning theory. http://id.loc.gov/authorities/subjects/sh94004662 Errors. http://id.loc.gov/authorities/subjects/sh85044727 Apprentissage automatique. Intelligence artificielle Attitudes. Théorie de l'apprentissage informatique. Erreurs. COMPUTERS General. bisacsh Computational learning theory fast Errors fast Machine learning fast |
topic_facet | Machine learning. Artificial intelligence Attitudes. Computational learning theory. Errors. Apprentissage automatique. Intelligence artificielle Attitudes. Théorie de l'apprentissage informatique. Erreurs. COMPUTERS General. Computational learning theory Errors Machine learning |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1510300 |
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