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Os resumos científicos são versões abreviadas, concisas e fiéis do conteúdo intelectual de um documento original. Eles podem ter uma estrutura explícita ou implícita e desempenham funções de alerta, antecipação, substitui- ção e seleção de informação. Tradicionalmente, são produzidos por operadores humanos, mas, com o avanço da tecnologia, sistemas automáticos também passaram a ser utilizados, especialmente a partir da segunda metade do século XX. Os sistemas automáticos, inicialmente baseados na frequência e posição das palavras, evoluíram com a inteligência artificial. Chatbots, como o Chat GPT, lançado em 2022, revolucionaram a produção de texto, inclusive de resumos científicos, ao gerar conteúdo realista com base em grandes volumes de texto pré -existente. No entanto, há preocupações éticas sobre a autoria e a precisão científica desses resumos, uma vez que IA não pode ser responsável pelo conteúdo gerado. Este estudo objetiva, através de resumos de artigos, analisar a utilização de ferramentas de IA na construção de resumos científicos, avaliando temas, contextos, métodos e conclusões de estudos recentes. Metodologicamente, procedeu -se a uma revisão sistemática da literatura, utilizando -se as bases Web of Science, Scopus e Ebsco Discovery Service, focando em artigos dos últimos três anos. A quantidade de estudos que existem sobre o tema, e que cujos resumos foram objeto de análise, demonstram que ainda há muita necessidade de estudo e reflexão acerca deste tema, Destaca -se a dificuldade em distinguir resumos gerados por IA dos humanos e a controvérsia sobre a qualidade e ética do uso de IA. Apesar das melhorias na tecnologia, a validação humana ainda é crucial para garantir a precisão e a qualidade dos resumos, reforçando a importância do papel humano na supervisão e adaptação dos conteúdos gerados por IA.
Scientific abstracts are abbreviated, concise, and faithful versions of the intellectual content of an original document. They can have an explicit or implicit structure and have functions such as alerting, anticipating, substituting, and selecting information. Traditionally, they are produced by human operators, but with technological advancements, automated systems have also been used, especially since the second half of the 20th century. Initially, these automated systems were based on word frequency and position, but they have evolved with artificial intelligence. Chatbots, like Chat GPT, launched in 2022, have revolutionized text production, including scientific abstracts, by generating realistic content based on large volumes of pre-existing text. However, there are ethical concerns about authorship and the scientific accuracy of these abstracts since AI cannot be held responsible for the generated content. This study aims to analyse the use of AI tools in constructing scientific abstracts through article summaries, evaluating themes, contexts, methods, and conclusions of recent studies. Methodologically, a systematic literature review was conducted using the Web of Science, Scopus, and Ebsco Discovery Service databases, focusing on articles from the last three years. The existing studies, whose summaries were analyzed, demonstrate a significant need for further study and reflection on this topic. There is a noted difficulty in distinguishing AI-generated abstracts from human ones and controversy regarding the quality and ethics of using AI. Despite technological improvements, human validation remains crucial to ensure the accuracy and quality of abstracts, reinforcing the importance of human oversight and adaptation of AI-generated content.
Scientific abstracts are abbreviated, concise, and faithful versions of the intellectual content of an original document. They can have an explicit or implicit structure and have functions such as alerting, anticipating, substituting, and selecting information. Traditionally, they are produced by human operators, but with technological advancements, automated systems have also been used, especially since the second half of the 20th century. Initially, these automated systems were based on word frequency and position, but they have evolved with artificial intelligence. Chatbots, like Chat GPT, launched in 2022, have revolutionized text production, including scientific abstracts, by generating realistic content based on large volumes of pre-existing text. However, there are ethical concerns about authorship and the scientific accuracy of these abstracts since AI cannot be held responsible for the generated content. This study aims to analyse the use of AI tools in constructing scientific abstracts through article summaries, evaluating themes, contexts, methods, and conclusions of recent studies. Methodologically, a systematic literature review was conducted using the Web of Science, Scopus, and Ebsco Discovery Service databases, focusing on articles from the last three years. The existing studies, whose summaries were analyzed, demonstrate a significant need for further study and reflection on this topic. There is a noted difficulty in distinguishing AI-generated abstracts from human ones and controversy regarding the quality and ethics of using AI. Despite technological improvements, human validation remains crucial to ensure the accuracy and quality of abstracts, reinforcing the importance of human oversight and adaptation of AI-generated content.
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Resumos científicos Inteligência artificial Resumos automáticos Resumos manuais Scientific abstracts Artificial intelligence Automatic abstracts Human abstracts
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Without CC licence