UM ESTUDO BIBLIOMÉTRICO SOBRE A PESQUISA EM INTELIGÊNCIA ARTIFICIAL NO BRASIL.

The production of data sources has increased in recent years and making their treatment, retrieval and use operational becomes a challenge and a strategic differential for the nations that have this domain. Knowledge about Artificial Intelligence has been crucial for data processing and use, being considered decisive for economic and social development. This work aimed to survey research on Artificial Intelligence in Brazil. A comprehensive search expression was created, and related articles were obtained for the period 2011-2020 in the Web of Science database. Using bibliometric methods, the obtained records were analyzed using the software VantagePoint, VOSViewer, and Excel. An analysis was carried out regarding the participation of Brazilian research in relation to the world, the main Artificial Intelligence research institutions in the country, the main research topics, and the most active authors. Keyword cooccurrence networks, the collaboration between institutions and between authors were built. It was found that Brazil has a peripheral but increasing participation in relation to publications and that public institutions have a fundamental role in this production despite regional discrepancies, which could help in the development of public policies for technological inclusion. [ABSTRACT FROM AUTHOR]