Artificial Intelligence and Scientific Research: Between Epistemic Power and Contemporary Ethical Challenges
DOI:
https://doi.org/10.70860_abef20250310Abstract
A emergência e a rápida disseminação das tecnologias de Inteligência Artificial (IA) têm provocado transformações profundas nos modos de produzir, organizar e validar o conhecimento científico.
References
Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim code. Polity Press.
COPE – Committee on Publication Ethics. (2023). Position statement on AI tools.
Marshall, I. J., & Wallace, B. C. (2019). Toward systematic review automation: A practical guide to using machine learning tools in research synthesis. Systematic Reviews, 8(1), 163.
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.
Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
Van Dis, E. A. M., et al. (2023). ChatGPT: Five priorities for research. Nature, 614, 224–226.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Brazilian Archives of Physical Education

This work is licensed under a Creative Commons Attribution 4.0 International License.
Proposal for Copyright Notice Creative Commons
1. Policy Proposal to Open Access Journals
Authors who publish with this journal agree to the following terms:
A. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the Creative Commons Attribution License that allows sharing the work with recognition of its initial publication in this journal.
B. Authors are able to take on additional contracts separately, non-exclusive distribution of the version of the paper published in this journal (ex .: publish in an institutional repository or as a book), with an acknowledgment of its initial publication in this journal.
C. Authors are permitted and encouraged to post their work online (eg .: in institutional repositories or on their website) at any point before or during the editorial process, as it can lead to productive exchanges, as well as increase the impact and the citation of published work (See the Effect of Open Access).