浙江工商大学学报

生成式人工智能在翻译行业表现出广泛的应用前景，具有颠覆传统翻译模式的潜势。生成式人工智能深度介入翻译学知识生产过程，为翻译学研究提供了新路径，引发了翻译学知识生产主体、空间、方式、逻辑、模态的变革，因而改变了传统的知识生产秩序，推动了翻译学研究的观念变革和范式转型。在生成式人工智能时代，翻译学的知识迭代速率加快，量化研究发展更加深入，跨学科研究越发便捷，人本性特征越显重要。为推动翻译学知识体系建设，研究者需要拥有知识愿力、知识想象力和知识批判力，秉持求真向善原则，拥抱技术以发挥其知识增能作用，突破思维定式以推动知识创新，以反思性构建精神，妥善解决技术理性与人文价值之间的冲突，守护翻译研究的诗学使命和人文精神。

Generative artificial intelligence(GenAI) demonstrates broad application potential in the translation industry and holds the power to reshape its traditional paradigms. By deeply engaging in the knowledge production process of translation studies, GenAI offers new research pathways, catalyzing transformations in the agents, spaces, methods, logic, and modalities of knowledge production. These changes have disrupted the conventional order of knowledge production, driving conceptual renewal and paradigmatic shifts within the discipline. In the era of GenAI, the pace of knowledge iteration in translation studies is accelerating, quantitative research is advancing more rigorously, interdisciplinary inquiry is becoming more accessible, and the human-centered dimension is gaining heightened significance. To advance the construction of the discipline's knowledge system, researchers must cultivate intellectual will, imaginative capacity, and critical acumen. Upholding the principles of truth-seeking and ethical integrity, they should embrace technology for its knowledge-empowering potential, transcend conventional thinking to foster innovation, and adopt a reflective and constructive mindset to appropriately reconcile technological rationality with humanistic values,thereby safeguarding the poetic mission and humanistic spirit of translation studies.