Technological advancements, particularly in fields like artificial intelligence, genetics, and information technology, pose significant challenges to terminology standardization efforts. New terms continually emerge to describe novel concepts, technologies, and processes. For example, in AI, terms like "deep learning," "neural networks," and "natural language processing" have rapidly evolved, with their meanings and applications constantly expanding. This rapid evolution makes it difficult for standardization bodies to keep pace, often resulting in a lag between the emergence of new concepts and their formal terminological representation.