Artificial Intelligence and Scientific Research: Ethical Implications and Practical Possibilities

Abstract

This article analyzes the use of artificial intelligence (AI) in scientific research, with an emphasis on its ethical implications and practical possibilities. Based on a qualitative, bibliographic approach, the methodology of the State of Knowledge (EC) was adopted, grounded in publications indexed in the Lens database from 2020 to 2025. A total of 29 articles were selected according to defined criteria and organized into five thematic categories: ethics and transparency; AI as a writing tool; moral foundations and implications; perceptions and ethical challenges; and epistemological limits of AI. The findings indicate progress in the use of AI as a support for scientific production, but also reveal concerns regarding authorship, reliability, and the ethical formation of researchers. The article proposes a responsible use of AI that preserves the centrality of human authorship, alongside the development of clear institutional policies and the revision of ethical protocols. In conclusion, examples of AI tools that can contribute to research practices are presented, provided they respect the principles of academic integrity and the authorship that must remain with the researcher.