A Inteligência Artificial na abordagem CTS: um estudo comparativo entre indicadores da produção científica

Luciana Castro Groenner; Leandro Innocentini Lopes de  Faria; Luciana de Souza Gracioso

doi:10.5433/1981-8920.2025v30n1p55

Authors

Luciana Castro Groenner Universidade Federal de São Carlos - UFSCAR
Leandro Innocentini Lopes de Faria Universidade Federal de São Carlos - UFSCAR https://orcid.org/0000-0002-8369-1315
Luciana de Souza Gracioso Universidade Federal de São Carlos - UFSCAR https://orcid.org/0000-0002-6320-4946

DOI:

https://doi.org/10.5433/1981-8920.2025v30n1p55

Keywords:

Science, Technology and Society, Artificial Intelligence, Technological Change

Abstract

Objective: We investigated how AI has been studied by the CTS field in Brazil.
Methodology: Quantitative analysis was used to map where research on AI is taking place, as well as to identify which fields of knowledge are involved in this discussion, with the intention of locating Brazilian STS. The research was conducted in the Web of Science for the period 2013 to 2022.
Results: It was found that the Brazilian STS field has been dedicated to debating the technologies resulting from AI, albeit in an incipient, yet growing manner. It was identified that the most recurring themes in these debates are related to ethics, privacy, transparency, and governance of AI. The connections between the researched topics and the STS approach are also critically discussed.
Conclusions: The field of AI is a research area that branches into various fields of knowledge, producing technologies increasingly used by industries, governments, and individuals. The STS field is an interdisciplinary field that can contribute significantly to enabling critical debates on AI-related issues in Brazil, aiming to build alternatives where these technologies are developed and absorbed while mitigating the resulting problems.

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Author Biographies

Luciana Castro Groenner, Universidade Federal de São Carlos - UFSCAR

PhD from the Postgraduate Program in Science, Technology and Society at the Universidade Federal de São Carlos (UFSCar), São Carlos, Brasil.

Leandro Innocentini Lopes de Faria, Universidade Federal de São Carlos - UFSCAR

PhD in Materials Science and Engineering from the Universidade Federal de São Carlos (UFSCar). Professor at the Universidade Federal de São Carlos (UFSCar), São Carlos, Brasil

Luciana de Souza Gracioso, Universidade Federal de São Carlos - UFSCAR

PhD in Information Science from the Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT) and Universidade Federal Fluminense (UFF). Professor at the Department of Information Science at the Universidade Federal de São Carlos (UFSCar), São Carlos, Brasil.

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