Guidelines and frameworks of governance for the adoption of generative artificial intelligence in higher education institutions: a scoping review
Purpose: This study examines academic production on guidelines and frameworks for the governance of generative artificial intelligence in higher education institutions. Design/methodology: A scoping review was conducted utilizing the Web of Science database, analyzing publications from 2023 and 2024...
| Autores: | , , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2025 |
| País: | Brasil |
| Recursos: | Universidade Federal de Santa Maria (UFSM) |
| Repositório: | Revista de Administração da UFSM |
| Idioma: | inglês |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/90871 |
| Acesso em linha: | https://periodicos.ufsm.br/reaufsm/article/view/90871 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Generative artificial intelligence Higher education Governance of generative artificial intelligence Inteligência artificial generativa Educação superior Governança da inteligência artificial generativa |
| Resumo: | Purpose: This study examines academic production on guidelines and frameworks for the governance of generative artificial intelligence in higher education institutions. Design/methodology: A scoping review was conducted utilizing the Web of Science database, analyzing publications from 2023 and 2024. Findings: The results were organized into four thematic clusters: guidelines and frameworks, challenges in the adoption of generative artificial intelligence governance in higher education, stakeholder perceptions, and research gaps. Research implications: The study provides insights and could serve as a reference for adopting generative artificial intelligence in other institutions. Originality/value: This research contributes to the body of studies focused on the integration and governance of generative artificial intelligence in higher education institutions. |
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