Fairness, mediation, and data quality:

reflections on artificial intelligence and organizational and ethical dimensions in information science

Authors

  • Tiago Brasileiro Araújo Universidade Federal de Campina Grande
  • Gabriela Silva Pires Universidade Estadual da Paraíba

Keywords:

Information quality, Informational mediation, Artificial intelligence, Information ethics, Data justice

Abstract

The growing presence of artificial intelligence in information practices has transformed how knowledge is produced, mediated, and used, introducing new ethical and epistemological challenges. This theoretical essay seeks to understand how data quality, informational mediation, and ethics intersect in shaping these practices, adopting an interdisciplinary approach that integrates perspectives from Information Science, Computer Science, and Management. This study is an interdisciplinary theoretical essay grounded in the critical analysis of literature relevant to the topics under investigation. The discussion examines how data quality supports informational reliability, while algorithmic mediation reshapes human and institutional agency. The findings indicate that although artificial intelligence enhances the efficiency and reach of decision-making, it also reinforces ethical dilemmas related to transparency, fairness, and social responsibility. The essay concludes that building fair digital ecosystems requires ethical governance, critical informational practices, and a sustained commitment to data justice.

Author Biographies

  • Tiago Brasileiro Araújo, Universidade Federal de Campina Grande

    http://lattes.cnpq.br/1503278831971137

    Professor do Instituto Federal da Paraíba (IFPB) e Pesquisador no Centro de Competências VIRTUS (UFCG). Professor do Instituto Federal de Pernambuco (IFPE) entre os anos de 2019 e 2020. Doutor em Ciência da Computação pela Universidade Federal de Campina Grande (UFCG), com período de Doutorado Sanduíche no Exterior (PDSE-CAPES) na Tampere University (Finlândia). Mestre em Ciência da Computação pela Universidade Federal de Campina Grande (UFCG). Especialista em Gestão Estratégica de Tecnologia da Informação pela Universidade Estácio de Sá. Especialista em Moderna Educação: Metodologias, Tendências e Foco no Aluno pela Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS). Bacharel em Ciência da Computação pela Universidade Federal de Campina Grande (UFCG). Lecionou como professor substituto no Instituto Federal de Educação, Ciência e Tecnologia da Paraíba (IFPB). Coordenador do Laboratório de Dados (DataLab/IFPB) e membro do Laboratório de Qualidade de Dados (LQD/UFCG), atuando como pesquisador na área de resolução de entidades. Trabalhou como desenvolvedor/pesquisador em três projetos de desenvolvimento de software e como desenvolvedor pleno no projeto Sony/Venturus.

  • Gabriela Silva Pires, Universidade Estadual da Paraíba

    http://lattes.cnpq.br/0329294806106956

    Professora no Curso do Bacharelado em Administração na Universidade Estadual da Paraíba - UEPB. Doutora em Administração pela Universidade Federal da Paraíba, com ênfase em Marketing e Tecnologia. Mestra em Administração pela Universidade Federal da Paraíba, com ênfase em Marketing e Sociedade (2015). Graduada em Administração de Empresas pela Universidade Federal de Campina Grande (2013). 

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Published

2026-06-17

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Vol. 31 (2026): Publicações em Fluxo Contínuo 2026

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Fairness, mediation, and data quality:: reflections on artificial intelligence and organizational and ethical dimensions in information science. (2026). Perspectivas Em Ciência Da Informação, 31, e62897. https://periodicos.ufmg.br/index.php/pci/article/view/62897