This presentation explores the integration of Generative Artificial Intelligence (GenAI) into translator education. As translation bridges critical linguistic and cultural communication divides, GenAI tools (e.g., ChatGPT) offer transformative potential for enhancing efficiency, pedagogical innovation, and student skill development, among others. Recent few but growing studies indicate tangible benefits. However, significant challenges including the following persist: 1) ethical dilemmas (e.g., data privacy, algorithmic bias), academic integrity risks, technological over-reliance, and barriers such as limited digital infrastructure, resource constraints, and cultural sensitivities regarding GenAI-generated content. Crucially, the ethics of AI adoption, including accountability and cultural preservation, demand substantial attention in curriculum design. To address these gaps, this study proposes a pedagogical framework featuring: a) Critical Prompt Engineering: Training in culturally attuned prompt design, c) Ethical Literacy: Focused on bias detection and socio-technical responsibility, d) Human-AI Collaboration: Emphasizing the necessity of post-editing, translator agency, and cultural mediation. The goal is a sustainable, ethically grounded translator education system that leverages GenAI’s potential while upholding local socio-cultural values and fostering responsible technological use.

Keywords