Artificial Intelligence as a Pedagogical Tool for Speech Generation in Conference Interpreter Training

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Published: Mar 14, 2026
DOI: https://doi.org/10.12681/ijltic.44846
Keywords:
conference interpreting interpreter training AI in interpreting artificial intelligence AI-generated speeches simultaneous interpreting consecutive interpreting
Anthi Wiedenmayer
Aristotle University of Thessaloniki
Abstract

The training of conference interpreters necessitates sustained exposure to a wide range of level-appropriate source speeches that progressively foster the development of cognitive, linguistic, and strategic competencies. This article explores the pedagogical potential of Artificial Intelligence (AI) for the generation of customized speeches designed for interpreter training, with particular reference to the framework of the European Masters in Conference Interpreting (EMCI). It argues that, when employed critically and pedagogically, AI-generated speeches can enhance training effectiveness by enabling precise control over key discourse parameters, including complexity, information density, register, and mode of delivery. Furthermore, the article proposes a structured methodological approach for the integration of AI-generated materials into interpreter training, with a clear distinction between applications in simultaneous and consecutive interpreting. The illustrative examples presented draw on the pedagogical practices implemented in the Master Programme in Conference Interpreting at the Aristotle University of Thessaloniki.

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