{"id":130673,"date":"2020-08-11T18:29:33","date_gmt":"2020-08-11T22:29:33","guid":{"rendered":"https:\/\/fsc-ccf.ca\/references\/why-artificial-intelligence-will-not-outsmart-complex-knowledge-work-2\/"},"modified":"2020-08-11T18:29:33","modified_gmt":"2020-08-11T22:29:33","slug":"why-artificial-intelligence-will-not-outsmart-complex-knowledge-work-2","status":"publish","type":"reference","link":"https:\/\/fsc-ccf.ca\/fr\/references\/why-artificial-intelligence-will-not-outsmart-complex-knowledge-work-2\/","title":{"rendered":"Why artificial intelligence will not outsmart complex knowledge work"},"content":{"rendered":"

Le r\u00f4le potentiel de l’intelligence artificielle dans l’am\u00e9lioration de la performance et de la productivit\u00e9 a \u00e9t\u00e9 promu r\u00e9guli\u00e8rement et avec v\u00e9h\u00e9mence des organisations depuis les ann\u00e9es 1960. L’intelligence artificielle est aujourd’hui rena\u00eet de grandes entreprises, semblable aux \u00e9v\u00e9nements entourant les grandes donn\u00e9es dans les ann\u00e9es 1990, et les attentes sont \u00e9lev\u00e9s en ce qui concerne le r\u00f4le potentiel d’Amnesty International dans les entreprises. Cet article traite de diff\u00e9rents aspects du travail des connaissances qui ont tendance \u00e0 \u00eatre ignor\u00e9es dans le d\u00e9bat sur si oui ou non les syst\u00e8mes d’intelligence artificielle sont une menace pour l’emploi. Beaucoup de travail les connaissances des pr\u00e9occupations probl\u00e8mes tr\u00e8s complexes probl\u00e8mes et doivent \u00eatre compris en termes contextuels, sociaux et relationnels. Ces aspects ont pas de r\u00e8gles g\u00e9n\u00e9riques ou universelles et des solutions et, par cons\u00e9quent, ne peuvent pas \u00eatre facilement remplac\u00e9 par l’intelligence artificielle ou programm\u00e9s dans les syst\u00e8mes informatiques, ils ne sont pas construits \u00e0 partir des mod\u00e8les du cerveau rationnel. \u00c0 cet \u00e9gard, cet article se fonde sur la th\u00e8se de philosophe Herbert Dreyfus au sujet de l’intelligence artificielle. Traduit a\u0300 l'aide de Google Translate<\/p>\n","protected":false},"excerpt":{"rendered":"

Le r\u00f4le potentiel de l’intelligence artificielle dans l’am\u00e9lioration de la performance et de la productivit\u00e9 a \u00e9t\u00e9 promu r\u00e9guli\u00e8rement et avec v\u00e9h\u00e9mence des organisations depuis les ann\u00e9es 1960. L’intelligence artificielle est aujourd’hui rena\u00eet de grandes entreprises, semblable aux \u00e9v\u00e9nements entourant les grandes donn\u00e9es dans les ann\u00e9es 1990, et les attentes sont \u00e9lev\u00e9s en ce qui concerne le r\u00f4le potentiel d’Amnesty International dans les entreprises. Cet article traite de diff\u00e9rents aspects du travail des connaissances qui ont tendance \u00e0 \u00eatre ignor\u00e9es dans le d\u00e9bat sur si oui ou non les syst\u00e8mes d’intelligence artificielle sont une menace pour l’emploi. Beaucoup de travail les connaissances des pr\u00e9occupations probl\u00e8mes tr\u00e8s complexes probl\u00e8mes et doivent \u00eatre compris en termes contextuels, sociaux et relationnels. Ces aspects ont pas de r\u00e8gles g\u00e9n\u00e9riques ou universelles et des solutions et, par cons\u00e9quent, ne peuvent pas \u00eatre facilement remplac\u00e9 par l’intelligence artificielle ou programm\u00e9s dans les syst\u00e8mes informatiques, ils ne sont pas construits \u00e0 partir des mod\u00e8les du cerveau rationnel. \u00c0 cet \u00e9gard, cet article se fonde sur la th\u00e8se de philosophe Herbert Dreyfus au sujet de l’intelligence artificielle. [googletranslate_fr]<\/p>\n","protected":false},"template":"","reference-tag":[],"reference-type":[435],"class_list":["post-130673","reference","type-reference","status-publish","hentry","reference-type-journal-article"],"acf":{"citation":"Pettersen, L. (2019). Why artificial intelligence will not outsmart complex knowledge work. Work, Employment and Society, 33(6), 1058-1067. Retrieved from https:\/\/journals.sagepub.com\/doi\/10.1177\/0950017018817489.","authors":"Pettersen, L.","org":"","year":"2019","title_fr":null,"editors_hidden":"","publication":"Work, Employment and Society","publication_fr":null,"volume":"33","issue":"6","Series":"","SeriesNumber":"","page_range":"1058-1067","publisher_city":"Los Angeles","publisher_state":"CA","publisher":"SAGE Publications","abstract_en":null,"abstract_fr":null,"keywords":"artificial intelligence,context,knowledge work,problem solving,social interaction","paywall":"1","doi":"10.1177\/0950017018817489","isbn":"","url":"https:\/\/journals.sagepub.com\/doi\/10.1177\/0950017018817489","url_fr":null,"url_amazon":"","TRACK":"0"},"yoast_head":"\nWhy artificial intelligence will not outsmart complex knowledge work - Future Skills Centre \u2022 Centre des Comp\u00e9tences futures<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fsc-ccf.ca\/fr\/references\/why-artificial-intelligence-will-not-outsmart-complex-knowledge-work-2\/\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/fsc-ccf.ca\\\/fr\\\/references\\\/why-artificial-intelligence-will-not-outsmart-complex-knowledge-work-2\\\/\",\"url\":\"https:\\\/\\\/fsc-ccf.ca\\\/fr\\\/references\\\/why-artificial-intelligence-will-not-outsmart-complex-knowledge-work-2\\\/\",\"name\":\"Why artificial intelligence will not outsmart complex knowledge work - 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