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ChatGPT等生成式人工智能工具对术语定义的创建与使用产生的影响。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能够优化定义构建流程，减少时间和精力投入，同时可能提升定义质量。生成式人工智能工具支持AI辅助术语编纂，尤其体现在"后编辑术语编纂"模式中——由机器生成定义初稿，术语学家随后进行修正或完善。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，正挑战着我们传统认知中术语定义及术语资源的存在价值。与术语定义不同，生成式人工智能工具能够描述特定语境中术语所激活的知识体系。但这些工具的主要缺陷在于其输出可能包含错误。因此，对可靠性有要求的用户可能仍会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深度整合，人类创建与AI创建内容之间的界限将日益模糊。