000			01832nam a22002417a 4500
003			ES-MaBCA
005			20171106134833.0
008			150528b xxu||||| |||| 00| 0 eng d
020			_a9780833097637
040			_cES-MaBCA
100			_915041 _aOsoba, Osonde
100			_95319 _aWelser, William _bIV
245			_aAn intelligence in our image _h[Recurso electrónico] PDF _b: The risks of bias and errors in artificial intelligence
260			_bRAND Corporation _c2017
300			_aRecurso online, 45 p.
520			_aMachine 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.
650		0	_914074 _aInteligencia artificial
650		0	_99345 _aToma de decisiones
650		0	_94238 _aEvaluación de riesgos
650		0	_91183 _aProspectiva
856			_uhttps://www.rand.org/pubs/research_reports/RR1744.html _qPDF
942			_2udc _cBK
999			_c20293 _d20296