Diretrizes e frameworks de governança para a adoção da inteligência artificial generativa em instituições de ensino superior: uma revisão de escopo
DOI:
https://doi.org/10.5902/1983465990871Palavras-chave:
Inteligência artificial generativa, Educação superior, Governança da inteligência artificial generativaResumo
Propósito: Este estudo analisa a produção acadêmica sobre diretrizes e frameworks para a governança da Inteligência artificial generativa em instituições de ensino superior.
Design/metodologia: Foi realizada uma revisão de escopo por meio de pesquisas na base de dados Web of Science, considerando publicações dos anos 2023 e 2024.
Resultados: Os resultados foram agrupados em quatro clusters temáticos: diretrizes e frameworks, desafios para a adoção da governança da inteligência artificial generativa no ensino superior, percepções das partes interessadas e lacunas de pesquisa.
Implicações para pesquisa: O estudo pode oferecer insights e servir de referência para a adoção da inteligência artificial generativa em outras instituições.
Originalidade/valor: A pesquisa contribui com a agenda de estudos focados na integração e na governança da inteligência artificial generativa em instituições de ensino superior.
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Copyright (c) 2025 Maria Gabrielle Soares Gomes, Anatália Saraiva Martins Ramos, Karoline de Oliveira
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