{"id":131379,"date":"2020-08-11T18:34:38","date_gmt":"2020-08-11T22:34:38","guid":{"rendered":"https:\/\/fsc-ccf.ca\/references\/behind-the-headline-number-why-not-to-rely-on-frey-and-osbornes-predictions-of-potential-job-loss-from-automation-2\/"},"modified":"2020-08-11T18:34:38","modified_gmt":"2020-08-11T22:34:38","slug":"behind-the-headline-number-why-not-to-rely-on-frey-and-osbornes-predictions-of-potential-job-loss-from-automation-2","status":"publish","type":"reference","link":"https:\/\/fsc-ccf.ca\/fr\/references\/behind-the-headline-number-why-not-to-rely-on-frey-and-osbornes-predictions-of-potential-job-loss-from-automation-2\/","title":{"rendered":"Behind the headline number: Why not to rely on Frey and Osborne&#8217;s predictions of potential job loss from automation"},"content":{"rendered":"<p>Nous passons en revue une \u00e9tude tr\u00e8s influente qui a estim\u00e9 la perte d&#8217;emploi potentiel des progr\u00e8s de l&#8217;intelligence artificielle et de la robotique: Frey et Osborne (FO) (2013, 2017) a conclu que 47 pour cent des emplois aux \u00c9tats-Unis \u00e9taient \u00e0 \u00ab haut risque \u00bb d&#8217;automatisation les 10 \u00e0 20 prochaines ann\u00e9es. Tout d&#8217;abord, nous \u00e9tudions la m\u00e9thode de FO pour estimer la perte d&#8217;emploi. Plusieurs probl\u00e8mes et limitations majeures sont r\u00e9v\u00e9l\u00e9es; en particulier associ\u00e9 \u00e0 la d\u00e9signation subjective des professions comme enti\u00e8rement automatisable. En second lieu, nous examinons si les pr\u00e9visions de FO peuvent expliquer occupationlevel \u00e9volution de l&#8217;emploi aux \u00c9tats-Unis de 2013 \u00e0 2018. Par rapport aux approches standard qui emplois Classifier en fonction de leur intensit\u00e9 dans les t\u00e2ches de routine, les pr\u00e9visions de FO font la \u00ab valeur ajout\u00e9e \u00bb non pour la pr\u00e9vision de l&#8217;impact des la technologie sur l&#8217;emploi. Traduit a\u0300 l'aide de Google Translate<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nous passons en revue une \u00e9tude tr\u00e8s influente qui a estim\u00e9 la perte d&#8217;emploi potentiel des progr\u00e8s de l&#8217;intelligence artificielle et de la robotique: Frey et Osborne (FO) (2013, 2017) a conclu que 47 pour cent des emplois aux \u00c9tats-Unis \u00e9taient \u00e0 \u00ab haut risque \u00bb d&#8217;automatisation les 10 \u00e0 20 prochaines ann\u00e9es. Tout d&#8217;abord, nous \u00e9tudions la m\u00e9thode de FO pour estimer la perte d&#8217;emploi. Plusieurs probl\u00e8mes et limitations majeures sont r\u00e9v\u00e9l\u00e9es; en particulier associ\u00e9 \u00e0 la d\u00e9signation subjective des professions comme enti\u00e8rement automatisable. En second lieu, nous examinons si les pr\u00e9visions de FO peuvent expliquer occupationlevel \u00e9volution de l&#8217;emploi aux \u00c9tats-Unis de 2013 \u00e0 2018. Par rapport aux approches standard qui emplois Classifier en fonction de leur intensit\u00e9 dans les t\u00e2ches de routine, les pr\u00e9visions de FO font la \u00ab valeur ajout\u00e9e \u00bb non pour la pr\u00e9vision de l&#8217;impact des la technologie sur l&#8217;emploi. [googletranslate_fr]<\/p>\n","protected":false},"template":"","reference-tag":[],"reference-type":[436],"class_list":["post-131379","reference","type-reference","status-publish","hentry","reference-type-white-paper"],"acf":{"citation":"Coelli, M. and Borland, J. (2019). Behind the headline number: Why not to rely on Frey and Osborne's predictions of potential job loss from automation. Melbourne Institute of Applied Economic and Social Research Working Paper:No. 10\/19. Melbourne, Australia: Melbourne Institute of Applied Economic and Social Research. Retrieved from https:\/\/melbourneinstitute.unimelb.edu.au\/__data\/assets\/pdf_file\/0005\/3197111\/wp2019n10.pdf.","authors":"Coelli, M. and Borland, J.","org":"Melbourne Institute of Applied Economic and Social Research","year":"2019","title_fr":null,"editors_hidden":"","publication":"","publication_fr":null,"volume":"","issue":"","Series":"Melbourne Institute of Applied Economic and Social Research Working Paper","SeriesNumber":"No. 10\/19","page_range":"1-29","publisher_city":"Melbourne","publisher_state":"Australia","publisher":"Melbourne Institute of Applied Economic and Social Research","abstract_en":null,"abstract_fr":null,"keywords":"Technological change; Unemployment; Employment projection; Forecasting technique; Future; Critical analysis","paywall":"0","doi":"","isbn":"","url":"https:\/\/melbourneinstitute.unimelb.edu.au\/__data\/assets\/pdf_file\/0005\/3197111\/wp2019n10.pdf","url_fr":null,"url_amazon":"","TRACK":"0"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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