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Artificial Intelligence and the Book Industry. White Paper

Authors: Lebrun, Tom; Audet, René;

Artificial Intelligence and the Book Industry. White Paper

Abstract

Artificial intelligence (AI) in the book world is a reality. Indeed, it is not reserved for sales platforms or medical applications. AI can assist writing, accompany editorial work or help the bookseller. It can respond to crying needs; despite its obvious limitations, it can be used to consider new applications in the book chain, which are the subject of specific recommendations here. This white paper, written by two specialists in the field of books and artificial intelligence, aims to identify ways to put AI at the service of the many links in the book world. “Planning for this cultural niche’s immediate future must be done and specific actions must be undertaken in order to establish new methods and models. This white paper will outline a possible course of action: the idea of a concerted effort by book industry actors in the use of AI.” This consultation is called for by a number of experts, who testify in this White Paper of the stakes specific to the current cultural context threatened by the giants of commerce : “Although use of AI calls for constant vigilance, it seems important that actors in the book industry pay close attention to these technological advances, as much to the potential disruptions as to the possible benefits they could entail.” (Virginie Clayssen, Éditis / Digital committee of the French Publishers Association) Thus, “the key to introducing AI, thought as augmented intelligence, to different links in the book chain is undoubtedly exploitation of data that is already available and that the competition does not possess”.

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Keywords

book, libraries, publishing, literature, recommendations, artificial intelligence, white book

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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