Guia para o uso ético e responsável da inteligência artificial generativa no âmbito acadêmico

Autores

DOI:

https://doi.org/10.5007/2175-8077.2025.e109536

Palavras-chave:

Inteligência Artificial Generativa, Ética em Pesquisa, Integridade Científica, Autoria Humana, Governança Acadêmica

Resumo

Objetivo Promover uma cultura de integridade científica e transparência na utilização de tecnologias generativas em pesquisas acadêmicas, fornecendo um referencial teórico e prático destinado a pesquisadores, docentes e instituições de ensino superior.

Metodologia O documento fundamenta-se em princípios éticos, epistemológicos e legais, estruturando-se a partir de diretrizes internacionais e nas políticas editoriais de grandes publicações científicas (Elsevier, Springer Nature, Taylor & Francis, SAGE e Emerald Publishing). Estabelece critérios de uso aceitável, sensível e inaceitável da GenIA, delimitando fronteiras claras entre assistência técnica e autoria intelectual.

Originalidade/Relevância O guia diferencia-se por equilibrar inovação tecnológica e responsabilidade epistêmica, incentivando o uso da GenIA como instrumento de apoio à pesquisa e não como substituto da reflexão humana. Sua relevância reside na resposta a uma lacuna crítica no contexto acadêmico contemporâneo: a necessidade de orientações éticas claras frente à adoção crescente de tecnologias generativas.

Resultados Propõe práticas pedagógicas e formativas para docentes e discentes voltadas à alfabetização digital crítica e à construção de competências éticas e cognitivas. Oferece protocolos institucionais de transparência, indicadores de maturidade digital e orientações para revisores e avaliadores.

Contribuições Teóricas Consolida um modelo de governança ética para o uso da IA na ciência, orientado pela integridade, responsabilidade compartilhada e valorização da autoria humana como núcleo inegociável da produção acadêmica.

Biografia do Autor

Janaína Gularte Cardoso, Universidade Federal de Santa Catarina

Possui graduação em Administração pela Universidade Federal de Santa Catarina (2001), mestrado em Administração pela Universidade Federal de Santa Catarina (2003), e doutorado em Administração pela Universidade Federal de Santa Catarina (2025). Professora adjunta do Curso de Ciências da Administração da Universidade Federal de Santa Catarina. Atuou como coordenadora de cursos de graduação e pós-graduação. Tem experiência na área de Administração, atuando principalmente nos seguintes temas: marketplace discrimination, marketing, marketing e sociedade, comportamento do consumidor, e pesquisa de marketing. Professora universitária de graduação e pós-graduação em Administração e áreas correlatas. Pesquisadora associada ao NICO (Núcleo de Inteligência Competitiva Organizacional em Marketing e Logística), e ao Grupo de Pesquisa em Consumo, Inovação e Marketing - GPCIMA, do(a) Universidade Federal da Paraíba. Desenvolveu pesquisas em parceria com o CNPQ/UNESCO e FAPESC. E é autora de várias publicações.

Igor de Jesus Lobato Pompeu Gammarano, Universidade do Estado do Pará

Pós-doutor (2024) e doutor (2022) em Administração pela UNAMA, com estágio sanduíche na University of Rhode Island (EUA). Mestre pela UNAMA com estágio na FGV/EAESP. Especialista em Marketing Digital, Administração Pública, Pessoas e Projetos. Bacharel em Administração e Relações Internacionais. Professor da UEPA e integrante de grupos de pesquisa em marketing e tecnologia. Editor associado da revista AOS. Pesquisador em Marketing Digital e Influência, com publicações em periódicos internacionais de alto impacto, como European Journal of Marketing e Journal of Strategic Marketing. Premiado pela Capes e AMS.

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Publicado

29-12-2025

Como Citar

Cardoso, J. G., & Gammarano, I. de J. L. P. (2025). Guia para o uso ético e responsável da inteligência artificial generativa no âmbito acadêmico. Revista De Ciências Da Administração, 27(67), 1–54. https://doi.org/10.5007/2175-8077.2025.e109536

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