Diversify Approaches to Better Understand the Compatibility of Artificial Intelligence and Sustainability: “I Love You… Me Neither”

Aude Rychalski and Mathilde Aubry

Journal of Innovation Economics, 2024, vol. N° 44, issue 2, 1-21

Abstract: The aim of this article is twofold: 1. Suggest an overview of current knowledge and understanding of both concepts and 2. Present the six contributions and their positioning in relation to current the literature linked to artificial intelligence and sustainability. For that, we use different but complementary sources. First, we ask artificial intelligence to reveal the mainstream view. Then we call on human intelligence to provide a critical perspective. Finally, we carry out a bibliometric analysis using the SCOPUS database and two different statistical analyses (the CCA ? co-citation analysis, the BCA ? bibliographic coupling analysis). The diversity of the sources used, and their complementarity allow us to propose a holistic vision of the subject, highlighting the concerns that surround it and identifying future avenues of research for academics. The articles selected in this special issue fill some of the gaps raised and call for further research. JEL Codes: O33, O44, Q55, Q56

Keywords: Artificial Intelligence; Sustainability; Bibliometrics; Co-Citation Analysis (CCA); Bibliographic Coupling Analysis (BCA); Ethics (search for similar items in EconPapers)
JEL-codes: O33 O44 Q55 Q56 (search for similar items in EconPapers)
Date: 2024
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