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An Intelligence In Our Image The Risks Of Bias And Errors

 
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MessagePosté le: Ven 7 Juil - 14:59 (2017)    Sujet du message: An Intelligence In Our Image The Risks Of Bias And Errors Répondre en citant


An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence
by Osonde A. Osoba



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An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence Osonde A. Osoba
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You can learn more about what's changed on our Help CenterThis should include specific guidance discouraging the use of unaccredited third-party black-box algorithmic solutionsThe report ends with a survey of approaches for combating these problems"--Publisher's description."en ; schema:exampleOfWork > ; schema:genre "Electronic books"en ; schema:inLanguage "en" ; schema:isPartOf > ; # Research report (Rand Corporation) ; schema:isPartOf > ; # Research report ; schema:isSimilarTo > ; schema:name "An intelligence in our image : the risks of bias and errors in artificial intelligence"en ; schema:productID "982111463" ; schema:publisher > ; # Rand Corporation, schema:url > ; schema:url > ; schema:url > ; schema:url > ; schema:workExample > ; wdrs:describedby > ;Marshall, Jennifer Booker, Houda el Mimoni, Imani Walker, Jennifer Ann RodeCHI Extended Abstracts2016Update accreditation guidelines for engineering school to include more training on the effects of technology on society and sociotechnical systems more generallyAdopt standardized disclosure practices to inform stakeholders when decisions affecting them are algorithmically generatedMeasuring Linguistic Diversity on the InternetJohn Paolillo, Daniel Pimienta, Daniel Prado, Xavier Fantognan2005Highly Influenced6 ExcerptsClose Block Cancel Block Algorithms can lead to inequitable outcomes

Books Textbooks Journals It could be through conference attendance, group discussion or directed reading to name just a few examplesWashington, D.CRemedies Will Most Likely Require a Combination of Technical and Nontechnical ApproachesReliance on algorithms for autonomous decisionmaking requires equipping them with means of auditing the causal factors behind decisionsClose Share Location Results from Send T

> # Machine learning a schema:Intangible ; schema:name "Machine learning"en ;Algorithms and Artificial Intelligence Agents Influence Many Areas of Life TodayIn particular, these artificial agents influence the news articles read and associated advertising, access to credit and capital investment, risk assessments for convicts, and othersBe the firstAddress diversity issues in the science, technology, engineering, and math educational pipelineHome WorldCat Home About WorldCat Help Search Search for Library Items Search for Lists Search for Contacts Search for a Library Create lists, bibliographies and reviews: or This site uses cookiesThis should include specific guidance discouraging the use of unaccredited third-party black-box algorithmic solutionsSo they can encode and amplify human biasesOffline Computer Download Bookshelf software to your desktop so you can view your eBooks with or without Internet accessMllers research focuses on the nature and future of computational systems, particularly on the prospects and dangers of artificial intelligence 07f867cfac


The Noisy Expectation Maximization Algorithm Osonde Osoba, Sanya Mitaim, Bart Kosko Contact: koskousc.edu References Sparse Data Effects Abstract3 Osonde A. Osoba, Ph.D. Adjunct Faculty 2013 - Present - Developed and taught short night courses on probabilistic simulation methods covering topics like random .View Osonde Ope Osobas professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Osonde Ope Osoba discover .Osonde A Osoba1,2 and Bart Kosko3 Abstract Feedback fuzzy cognitive maps (FCMs) can model the complex structure of public support for insurgency and terrorismCurriculum Vitae 3 Osonde A. Osoba, Ph.D.
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