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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]

This article is part of an ongoing research. The research aims to analyze the national scientific production of Information Science, from 2010 to 2020, published in journals indexed in the Web of Science and Scopus databases. In order to achieve the general objective, the following specific objectives were chosen: Analyze the scientific production of teachers\researchers from postgraduate programs in Information Science; Identify the most important themes approached in the scientific production of graduate programs in Brazil; Identify the most productive authors of each postgraduate program; Check collaboration in the area; Survey the titles of the most productive journals in the studied period; Characterize the most productive programs. It is a descriptive research with quantitative and qualitative approaches. The quantitative approach will use bibliometric and scientometric techniques to assist in measuring the researcher's productivity. When the scientific production was surveyed from 2010 to 2020 in the Web of Science and Scopus databases, 3,000 articles and reviews were found. So as to identify the main themes addressed, it was chosen to identify the keywords and the relevance in the studied period. 1,093 authors were found in the Web of Science database and in the Scopus database 6,886 authors who produced 2,206 articles and reviews in the period from 2010 to 2020. When verifying the existing collaboration in the area of Information Science in the period 2010-2020, there is an expressive institutional collaboration in the total academic production. Institutional collaboration corresponds to 34% of academic production. To survey the most productive journals in the period studied, publications in 48 journals were found in both databases. To characterize the most productive programs, the following references were adopted: year of beginning of the programs, number of teachers of the programs, areas of concentration of the programs, the stricto sensu postgraduate modalities of each program, the evaluation by CAPES of the master's and doctorate and the regional location. It was noted that there is a concentration of programs in the Southeast region. [ABSTRACT FROM AUTHOR]