ARTIFICIAL INTELLIGENCE AND DISINFORMATION

EPISTEMOLOGICAL CHALLENGES FOR IS

Authors

Keywords:

Information Science, Disinformation, Artificial Intelligence, Epistemology, Knowledge Production

Abstract

The intensification of digital technologies and the advancement of Artificial Intelligence (AI) have transformed the processes of information production, circulation, and validation, increasing challenges related to disinformation, particularly in light of generative AI, capable of producing highly plausible synthetic content. This paper analyzes how these transformations interfere with the production and dissemination of disinformative content, discussing their implications for Information Science. Methodologically, the study is an exploratory theoretical essay based on bibliographic research and a qualitative approach, articulating the concepts of information and disinformation with the epistemological perspectives of Thomas Kuhn (2013) and Gaston Bachelard (1996), based on an interpretive model structured in three complementary axes. The findings indicate that disinformation results from the interaction between algorithmic mediation, the reconfiguration of knowledge legitimation mechanisms, and epistemological obstacles involved in information interpretation processes. It is concluded that addressing disinformation requires the development of critical competencies and an understanding of the sociotechnical processes that organize the circulation of knowledge in contemporary society. 

Author Biographies

  • Aldo Faria Costa, Federal University of Minas Gerais

    Master’s candidate in Electrical Engineering in the Graduate Program in Electrical Engineering at the Federal University of Minas Gerais. Lato sensu graduate program—Specialization in “Introduction to Series and the Fourier Transform Applied to the Electromagnetic Spectrum.”

  • Maurício Barcellos Almeida, Federal University of Minas Gerais

    Information Researcher; Ph.D. in Information Science (UFMG). He is currently a Full Professor at UFMG in the Graduate Program in Knowledge Management and Organization, where he conducts research on information in health, industry, and government for the purpose of knowledge representation.  Recipient of a Productivity Fellowship from the National Research Council (CNPQ); postdoctoral fellow at the State University of New York (SUNY); postdoctoral fellow at the School of Medicine (UFMG).

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Published

2026-11-13

Conference Proceedings Volume

2026: XXVI ENCONTRO NACIONAL DE PESQUISA E PÓS-GRADUAÇÃO EM CIÊNCIA DA INFORMAÇÃO

Section

GT 1 – Estudos Históricos e Epistemológicos da Ciência da Informação

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