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Artificial intelligence and the Internet of things / Mercedes Bunz (2018)  

Public Titre : Artificial intelligence and the Internet of things Type de document : Monographie Auteurs : Mercedes Bunz, Auteur ; Laima Janciute, Auteur Editeur : Londres [Royaume-Uni] : University of Westminster Press Année de publication : 2018 Collection : CAMRI Policy Briefs num. 2 Importance : 31 p. ISBN/ISSN/EAN : 978-1-911534-82-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] aide à la décision [Termes IGN] cyberinfrastructure [Termes IGN] éthique [Termes IGN] Infrastructure de données [Termes IGN] internet des objets [Termes IGN] politique publique [Termes IGN] traitement automatique de données [Termes IGN] traitement du langage naturel Résumé : (éditeur) "Through algorithms and artificial intelligence (AI), objects and digital services now demonstrate new skills they did not have before, right up to replacing human activity through pre-programming or by making their own decisions. As part of the internet of things, AI applications are already widely used today, for example in language processing, image recognition and the tracking and processing of data. This policy brief illustrates the potential negative and positive impacts of AI and reviews related policy strategies adopted by the UK, US, EU, as well as Canada and China. Based on an ethical approach that considers the role of AI from a democratic perspective and considering the public interest, the authors make policy recommendations that help to strengthen the positive impact of AI and to mitigate its negative consequences." Note de contenu : 1- What's the issue? 2- Research evidence 3- Review of policy options 4- Policy recommandations Numéro de notice : 25993 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Monographie DOI : 10.16997/book25 En ligne : https://www.uwestminsterpress.co.uk/site/books/m/10.16997/book25 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96769