December 8, 2025Open Access

Integrating Generative AI into Translator Training: Challenges and Opportunities

Key Points

Improving workflow efficiency is central to integrating AI into translator training, highlighting the importance of adaptability.
Training emphasizes the development of essential skills for future translators in an AI-driven industry, ensuring job relevance.
Addressing ethics and job security is crucial for preventing overreliance on AI tools among translators.
Challenges involved in this integration require a focus on digital resilience to equip translators for future demands.

Abstract

Integrating GenAI into translator training offers significant potential but also presents substantial difficulties. As AI-driven translation systems become increasingly sophisticated, future translators must develop a nuanced understanding of how these technologies function and how to integrate them into their workflow. This paper investigates how GenAI can enhance translator training by improving workflow efficiency and helping students develop skills needed for the modern industry, while also addressing concerns about overreliance, ethics, and job security. It argues that digital resilience and a balanced skill set are essential for translators to thrive in an AI-enhanced professional landscape.

Ask AI

Helpful

Bookmark

View Full Paper