EVOLUTION OF THE CONCEPT OF ARTIFICIAL INTELLIGENCE IN SCIENTIFIC LITERATURE: A SYSTEMATIC ANALYSIS

The integration of Artificial Intelligence (AI) in education has sparked controversy due to the diversity of interpretations of its concept, its potential benefits, and the associated ethical concerns, highlighting the need for informed debate and careful implementation to optimize its impact on learning. This research systematically reviews, following the PRISMA protocol guidelines, the evolution of the concept of Artificial Intelligence (AI) in scientific production from 2017 to 2023 using the WOS and Scopus databases. A mixed methods approach was employed, consisting of bibliometric and content analysis. For the bibliometric analysis, data were processed in Bibliometrix based on variables: evolution and annual scientific production, Bradford's law, most relevant authors, scientific production by countries, keyword map, and global collaboration map. The results indicate that the term "Artificial Intelligence" is controversial. The bibliometric analysis reveals a steady growth in scientific production on AI from 2017 to 2023, with a peak in the last year. AI has been shown to have remarkable capabilities in specific tasks, such as voice recognition, image classification, and decision-making in complex situations.