Diez reglas simples para usar inteligencia artificial responsablemente en educación médica

Javier Alejandro Flores-Cohaila; Karla Mavel Bolo-Romero; Marco Rivarola Hidalgo

doi:10.21142/mecp.2026.1.3.%p

Autores/as

Javier Alejandro Flores-Cohaila Escuela de Posgrado, Universidad Continental, Huancayo, Perú; Hospital Nacional Víctor Larco Herrera, Lima, Perú. https://orcid.org/0000-0002-9169-2094
Karla Mavel Bolo-Romero Departamento de Filosofía y Teología, Universidad Femenina del Sagrado Corazón, Lima, Perú. https://orcid.org/0000-0003-1494-1752
Marco Rivarola Hidalgo Facultad de Ciencias de la Salud, Universidad Privada de Tacna, Tacna, Perú; Grupo de Estudios e Investigación en Educación Médica y Bioética, Universidad Privada de Tacna, Tacna, Perú. https://orcid.org/0000-0001-7317-9177

DOI:

https://doi.org/10.21142/mecp.2026.1.3.%25p

Palabras clave:

Inteligencia Artificial, Educación Médica, Pensamiento Crítico, Docentes, Ética

Resumen

La inteligencia artificial ya forma parte de la educación médica, pero su integración no puede reducirse al uso de nuevas herramientas. Este artículo propone diez reglas simples para orientar decisiones docentes sobre qué capacidades amplificar, qué productos verificar y qué responsabilidades no delegar. La propuesta se organiza alrededor del criterio profesional, entendido como juicio clínico-pedagógico, calibración epistemológica y responsabilidad ética. La IA puede extender ese criterio como exocompetencia, pero no sustituirlo. Por ello, el uso responsable de IA exige objetivos educativos explícitos, pensamiento crítico, revisión humana, protección de datos y actualización sostenida.

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