This paper examines the impact of Generative Artificial Intelligence (GenAI) tools like ChatGPT on the creation and consumption of terminological definitions. From the terminologist's point of view, the strategic use of GenAI tools can streamline the process of crafting definitions, reducing both time and effort, while potentially enhancing quality. GenAI tools enable AI-assisted terminography, notably post-editing terminography, where the machine produces a definition that the terminologist then corrects or refines. However, the potential of GenAI tools to fulfill all the terminological needs of a user, including term definitions, challenges the very existence of terminological definitions and resources as we know them. Unlike terminological definitions, GenAI tools can describe the knowledge activated by a term in a specific context. However, a main drawback of these tools is that their output can contain errors. For this reason, users requiring reliability will likely still resort to terminological resources for definitions. Nevertheless, with the inevitable integration of AI into terminology work, the distinction between human-created and AI-created content will become increasingly blurred.

翻译：本文探讨了诸如ChatGPT等生成式人工智能工具对术语定义创建与使用的影响。从术语学家的视角来看，策略性地运用生成式人工智能工具可简化定义构建流程，在减少时间与精力的同时，还可能提升定义质量。生成式人工智能工具支持人工智能辅助术语编纂，特别是"后编辑术语编纂"模式——即机器先生成定义，再由术语学家进行修正或优化。然而，生成式人工智能工具满足用户全部术语需求（包括术语定义）的潜力，正对传统术语定义及术语资源的存在价值构成挑战。与传统术语定义不同，生成式人工智能工具能描述特定语境中术语所激活的知识，但其主要缺陷在于输出内容可能包含错误。因此，对可靠性有要求的用户仍可能依赖术语资源获取定义。不过，随着人工智能在术语工作中不可避免的融合，人工创建内容与人工智能生成内容之间的界限将日益模糊。