AUGMENTED INTELLIGENCE

THEORETICAL CATEGORIES FOR AN ETHICAL AND COLLABORATIVE PERSPECTIVE

Authors

Keywords:

Augmented Intelligence, Artificial Intelligence, Information Organization, Information Representation, Ethics

Abstract

Introduction: The increasing use of Artificial Intelligence in Information Organization and Representation processes has intensified discussions concerning ethics, human participation, and the sociocultural implications of intelligent systems. Problem: Although Artificial Intelligence has the potential to support information-related activities, its use in isolation may foster uncritical automation, weaknesses in algorithmic governance, and the reproduction of social and epistemic inequalities. Objective: To understand how the scientific literature presents Augmented Intelligence as an ethical and collaborative perspective on the use of Artificial Intelligence in Library and Information Science, identifying theoretical categories associated with this concept. Methodology: This is a qualitative, exploratory, and bibliographic study based on a literature review. The corpus consisted of 21 scientific publications selected according to eligibility criteria and examined through interpretive thematic analysis. Results: The analysis identified recurring patterns in the literature that, when analyzed in dialogue with the study’s theoretical framework, enabled the systematization of six categories associated with Augmented Intelligence: human oversight, algorithmic transparency, ethical responsibility, human–AI collaboration, mutual learning, and epistemic diversity. Conclusion: The findings indicate that Augmented Intelligence is presented in the literature as a collaborative approach based on the integration of human capabilities and intelligent systems. The systematized categories may contribute to reflections on Information Organization and Representation practices that are more sensitive to ethical, sociocultural, and epistemic dimensions.

Author Biographies

  • Vinícius Braga, Federal University of Minas Gerais

    Ph.D. student in Knowledge Management and Organization, in the research line Knowledge Architecture and Organization (KAO), at the School of Information Science of the Federal University of Minas Gerais (UFMG). Master's degree in Knowledge Management and Organization, also in the KAO line, from the same institution. Specialist in Software Engineering from the Pontifical Catholic University of Minas Gerais (PUC Minas), with a project focused on the use of ontologies applied to indexing for the description and retrieval of digital images. Bachelor in Librarianship.

  • Heber Tormentino de Sousa, Federal University of São João del-Rei

    Associate Professor at the Federal University of São João Del-Rei (UFSJ). PhD from the Federal University of Minas Gerais (UFMG) in Knowledge Management and Organization, in the concentration area of Information Science (2022). Researcher member of the MHTX Research Group (Conceptual Modeling for Organization and Representation of Hypertext Information) and CEPRECRI (Research Center for Knowledge Representation and Information Retrieval). Bachelor in Computer Science from the Federal University of Viçosa (UFV).

  • Gercina Ângela de Lima, Federal University of Minas Gerais

    Full Professor in the Department of Organization and Information Processing at the School of Information Science of the Federal University of Minas Gerais (ECI/UFMG). She holds a Post-Doctorate in methodologies for the textual document indexing process from Universidad Carlos III de Madrid (Spain) and from the School of Communications and Arts at the University of São Paulo (ECA/USP). She holds a PhD in Information Science from the Graduate Program in Information Science (PPGCI/ECI/UFMG), a Master's degree in Library Service from Clark Atlanta University (USA), and is a Librarian graduated from UFMG. She coordinates the research group MHTX Conceptual Modeling for Organization and Representation of Hypertextual Information, registered with CNPq since 2004 and continuously active for 21 years. She is a Research Productivity Fellow of CNPq (PQ - Level B) and a Fellow of the Minas Gerais Researcher Program (PPM/FAPEMIG).

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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 2 – Organização e Representação do Conhecimento

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