Artificial Intelligence: Profile and Behavior in the Brazilian Academy

Purpose: To investigate the profile and behavior of scientific production and social network structures on the topic of artificial intelligence published in Brazilian academic journals from the SPELL database perspective between 1988 and 2023. Design/Methodology/Approach: A bibiometric and sociometric survey of 89 Brazilian articles was used. Findings: A growing trend for the topic of artificial intelligence in the national academic panel; the Journal of Information Systems and Technology Management and Revista Gestão & Tecnologia were the most productive journals; the Federal University of Rio Grande do Norte, the Federal University of Uberlândia, and the University of São Paulo were the most productive institutions. The actors' social networks were all measured with low density. Regarding the social networks of the keywords, the terms that stood out were: artificial intelligence, digital transformation, technology, machine learning, neural networks, Industry 4.0, artificial neural networks, and COVID-19. Practical implications: The most relevant conceptual approaches to AI may prove useful, as they will be more widely recognized in the administration and decision-making of business managers and public policymakers. Originality/Value: This research presents the state of the art on AI in the Brazilian academic literature context from the perspective of SPELL and sociobibliometrics, thus providing contemporary data, information, and knowledge on AI for researchers, especially those new to this field.