Artificial intelligence

Joëlle Farchy () and Juliette Denis
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Joëlle Farchy: UP1 - Université Paris 1 Panthéon-Sorbonne, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, Ecole des Médias et du Numérique de la Sorbonne (EMNS) - UP1 UFR02 - Université Paris 1 Panthéon-Sorbonne - École d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne

Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL

Abstract: Artificial intelligence has experienced unprecedented growth since the 2010s, owing to the combined effects of the rise in computing capacity and scientific research, and is the subject of public debate. Cultural industries have been among those impacted by the explosion of data available to feed artificial intelligence algorithms. At the initiative of researchers, artists, start-ups or large groups, artificial intelligence has been used at all levels of the value chain. The exploitation of data thanks to algorithms gives new impetus to the ambition to make the appropriate investment decisions, and to support, or even replace the usual human intuitions and expertise by presumably objective analyses of the determinants of the success of a work or an artist. Whether to analyse market trends or predict the future, professionals' decision-making tools are based on mechanisms specific to each sector. Examples from the music, audio-visual and art market sectors illustrate the different objectives that can be pursued.

Keywords: Artificial intelligence AI; Cultural industries; Algorithms; Data; Chaire PcEn; Intelligence Artificielle; IA; Industrie culturelle; Industrie culturelle et numérique; Algorithme; Données; Économie; Chaire Pluralisme culturel et Éthique du numérique (search for similar items in EconPapers)
Date: 2020-03-16
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Published in Handbook of Cultural Economics, Third Edition, Edward Elgar Publishing, pp.552, 2020, 9781788975797. ⟨10.4337/9781788975803⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:cesptp:halshs-04006773

DOI: 10.4337/9781788975803

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