Uma revisão de escopo assistida por inteligência artificial (IA) sobre usos emergentes de ia na pesquisa qualitativa e suas considerações éticas
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https://doi.org/10.33361/RPQ.2024.v.12.n.30.729Palavras-chave:
Pesquisa Qualitativa com Inteligência Artificial, Análise de dados qualitativos, Modelos grandes de linguagem, Ética na Pesquisa QualitativaResumo
Este artigo tem como objetivo conduzir uma revisão de escopo de materiais acadêmicos que discutem a aplicação de inteligência artificial (IA) baseada em grandes modelos de linguagem para auxiliar a pesquisa qualitativa assim como considerações éticas envolvidas em tais usos. Para tanto, foi feita uma revisão de escopo de 31 artigos publicados em periódicos e congressos indexados na SCOPUS e Web of Science e presentes em servidores de preprint, devido à novidade do tema, de 2018 a 2023, com base em termos associados. Como forma de demonstrar tal potencial, optamos por realizar uma experimentação com o ChatPDF, uma ferramenta de IA baseada no processamento de linguagem natural, para assistir na revisão. Os resultados da revisão indicam usos mais consolidados de IA para resumos, sumários e geração de códigos, porém há indicativos de empregos para geração de temas, análises de sentimentos, além de extração e tratamento de dados. A discussão ética assume uma dimensão mais normativa e cautelosa no uso de IA para pesquisa qualitativa.
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