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<dc:title xml:lang="fr">Artificial intelligence in science : diffusion and impact</dc:title>
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<dc:subject xml:lang="fr">Intelligence artificielle</dc:subject>
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<dc:subject xml:lang="fr">Adoption de l'IA</dc:subject>
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<dc:subject xml:lang="fr">Impact Scientifique</dc:subject>
<dc:subject xml:lang="en">Artificial intelligence</dc:subject>
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<dc:subject xml:lang="en">Combinatorial novelty</dc:subject>
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<dcterms:abstract xml:lang="fr">Cette thèse étudie l'impact de l'intelligence artificielle (IA) sur le système scientifique, en se concentrant sur la création de connaissances et les facteurs d'adoption. Le Chapitre 1 explore la manière dont l'IA affecte la production de connaissances, c'est à dire son originalité et l'impact scientifique associé. Le chapitre 2 examine les facteurs qui favorisent l'adoption de la technologie de l'IA dans les domaines d'application scientifiques. Le chapitre 3 présente \textit{Novelpy}, un outil open-source basé sur Python qui calcule diverses mesures de nouveauté et de disruption. Enfin, le chapitre 4 vise à comprendre les sources de ces indicateurs de nouveauté en intégrant une dimension cognitive dans l'étude de la créativité en science.</dcterms:abstract>
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