Ethical Issues in Translation Education in the AI Era

This chapter critically examines the ethical challenges arising from the integration of artificial intelligence (AI), particularly large language models (LLMs) and generative AI (GenAI), into translation education. It highlights how rapid technological advancements have outpaced the development of comprehensive ethical frameworks and pedagogical approaches within the field. The authors discuss the digital inequalities that result from disparities in access to AI tools, which can lead to unfair advantages among students and exacerbate existing socioeconomic and geographical divides. Issues of transparency in AI-assisted assessment are explored, emphasizing the need to shift from product-focused evaluation to process-oriented approaches that consider the human–AI interaction. The chapter proposes strategies for teaching AI-related ethics, including developing digital reflexivity, critical thinking, and ethical decision-making skills. It advocates for an integrated approach to professional ethics training, incorporating real-world scenarios, collaboration between academia and industry, and the development of discipline-specific AI guidelines. By addressing these ethical complexities, the chapter aims to prepare future translators for the evolving demands of an AI-augmented professional landscape.