Inteligência artificial e os desafios à integridade acadêmica
um modelo integrado
DOI:
https://doi.org/10.36776/ribsp.v8i21.311Palavras-chave:
Integridade Acadêmica, Inteligência Artificial Generativa, Políticas Institucionais, PedagogiaResumo
A Inteligência Artificial Generativa (IAG) redefine os limites da autenticidade intelectual na produção de conhecimento científico, exigindo novos enfoques para a integridade acadêmica. Este artigo propõe um modelo integrado que preserve a autenticidade do conhecimento frente aos desafios da IAG. O modelo baseia-se em revisão teórica, análise de políticas institucionais, estudos pedagógicos e avaliação de ferramentas tecnológicas. A integridade acadêmica na era da IAG não é um problema a ser "resolvido", mas um processo dinâmico. O modelo proposto integra sinergicamente: normas atualizadas, práticas pedagógicas inovadoras, e tecnologias de apoio. Espera-se que o modelo contribua para transformar a integridade acadêmica em um ecossistema de desenvolvimento intelectual autêntico, superando abordagens punitivas.
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