La inteligencia artificial como herramienta de la investigación artística transdisciplinaria: hacia una pedagogía ovrónica

The incorporation of generative artificial intelligences represents a paradigmatic transformation in arts research methodology for higher education. This essay critically examines how Large Language Models (LLMs) can be integrated into the investigative pedagogical process as strategic partners, rather than mere consultation tools. Drawing from a didactic experience implemented in the Research Methodology course with students of the Bachelor of Acting at the Faculty of Arts of the Autonomous University of Querétaro, a threephase methodology is proposed: thematic and contextual exploration, conceptual and interdisciplinary analysis, and reverse engineering for creative structure. The work incorporates the concept of "ovronia," developed by Rubén Buren (2025), to understand the nature of co-creation between humans and AI as a process of impure translation and radical transcreation. It is argued that the ethical and reflexive adoption of these technologies requires a paradigm shift in university praxis, oriented toward a transdisciplinary education that trains professionals capable not only of using technology but of governing it in a creative and critical manner. Finally, the pedagogical, ethical, and methodological implications of this integration are discussed, as well as the challenges posed by the 21st century for humanistic training within the context of the "silent revolution" currently traversing higher education.