O impacto da inteligência artificial generativa no ensino superior: uma perspectiva ética e de integridade académica
DOI:
https://doi.org/10.30827/relieve.v29i2.29134Palavras-chave:
ética, integridade académica, Inteligência Artificial Generativa (IAG), Ensino SuperiorResumo
A Inteligência Artificial Generativa (IAG) revolucionou o domínio do ensino superior e abriu o debate sobre o potencial de ferramentas como o ChatGPT, Humata.ai ou Sudowrite nos processos de ensino, aprendizagem e avaliação. Embora a sua integração neste contexto apresente inúmeras oportunidades (ou seja, feedback instantâneo, geração de recursos e material didático, aprendizagem adaptativa, interatividade, etc.), coloca também desafios importantes que põem em causa a ética e a integridade académica, como a fiabilidade da informação, a transparência em relação às fontes utilizadas ou à privacidade e segurança dos dados. O objetivo deste artigo é analisar as implicações éticas da sua utilização no ensino superior, numa tripla perspetiva (estudantes, professores e instituição). Pretende-se também analisar o seu impacto em aspetos ligados à segurança, acessibilidade, sustentabilidade e inclusive a novas formas de plágio e fraude académica que imitem ou roubem a identidade da autoria. Com base na revisão bibliográfica realizada, explorar-se-á a forma de integrar a IAG nas salas de aula universitárias, de forma controlada e respeitadora, através de práticas pedagógicas que orientem os estudantes na sua utilização correta e permitam aos professores lançar as bases de novos modelos educativos. Este processo de transformação exigirá o estabelecimento de diretrizes claras, em conformidade com os códigos éticos e as políticas de integridade das instituições de ensino superior. Em última análise, a reflexão sobre a forma de conjugar educação, inovação e integridade académica proporcionará a estes três coletivos uma nova oportunidade de promover melhorias no ensino universitário.
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