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Research Article Volume 11 Issue 1
Artificial intelligence, bioethics, and gender in medical training: a critical review of the current landscape in latin America
Pedro Hecht-López, Eduardo Parra-Villegas
Received: December 24, 2025 | Published: February 3, 2026
Citation: Hecht-López P, Parra-Villegas E. Artificial intelligence, bioethics, and gender in medical training: a critical review of the current landscape in latin America. J His Arch & Anthropol Sci. 2026;11(1):31‒34. DOI: 10.15406/jhaas.2026.11.00336
Abstract
This work analyzes the bioethical and gender-related aspects of artificial intelligence (AI) use in university-level medical education in Latin America. The study recognizes that the increasing incorporation of intelligent technologies in educational settings may introduce new ethical tensions, particularly concerning algorithmic design and its implementation in learning environments that must ensure fairness, transparency, and justice. A systematic literature review was conducted using Google Scholar, PubMed, and SciELO, covering the period from 2020 to 2025. The search focused on titles containing the keywords: bioethics, gender, artificial intelligence, students, and medicine. The Google Scholar search yielded 1,350 results, from which eight scientific articles were selected for analysis based on inclusion criteria. Thesis, essays, interviews, and studies focused on practicing medical professionals were excluded. No relevant studies were identified in PubMed or SciELO during the specified period. The selected literature shows limited explicit discussion on the intersections between ethics, gender, and AI use in medical education. Most of the discourse is framed in technical or operational terms. Significant gaps are evident in institutional policies guiding ethical AI use in education, and there is a lack of frameworks to address gender considerations.
Keywords: artificial intelligence, bioethics, gender, medical training, higher education
©2026 Hecht-López, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.