Artificial Intelligence and ChatGPT:: perspectives and challenges for Bibliographic Classification
It presents perspectives and challenges of applying Artificial Intelligence in the field of Library Science. To this end, it focuses on the practice of Bibliographic Classification and conducts a comparative study between the results obtained through classification performed by a human and by ChatGP...
| Autores: | , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2024 |
| País: | Brasil |
| Recursos: | Universidade de Brasília (UnB) |
| Repositório: | Revista Ibero-americana de Ciência da Informação |
| Idioma: | português |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/50429 |
| Acesso em linha: | https://periodicos.unb.br/index.php/RICI/article/view/50429 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Biblioteconomia Classificação Bibliográfica ChatGPT Inteligência Artificial Biblioteconomía Clasificación Bibliográfica Inteligencia Artificial Library Science Bibliographic Classification Artificial Intelligence |
| Resumo: | It presents perspectives and challenges of applying Artificial Intelligence in the field of Library Science. To this end, it focuses on the practice of Bibliographic Classification and conducts a comparative study between the results obtained through classification performed by a human and by ChatGPT, the chatbot tool used in this analysis. The study is based on the Dewey Decimal Classification and the Universal Decimal Classification. The results revealed significant divergences between both methods, exposing mistakes and hallucinations of the generative AI model GPT-3.5, on which the current free version of ChatGPT is based. Challenges and limitations to the effective applicability of ChatGPT in the context of Bibliographic Classification are highlighted, as well as the relevance of the librarian in the practice of classification and thematic analysis, given the importance of mental exercise and critical analysis in interpreting the subject to be classified. It should be noted that the study does not conduct a comprehensive comparative analysis. The need for future, more comprehensive investigations with different perspectives from human experts and AI models is emphasized. |
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