AI–generated technical documentation in global engineering: the new frontier of language, standards, and quality assurence

Abstract

This paper investigates the impact of artificial intelligence systems. Through natural language processing and large language models, these systems offer speed and consistency, significantly affecting documentation workflows and standard compliance. The study analyzes technical effects such as reduced creation time and increased accuracy, addressing both the benefits and challenges, including quality control and data security. By reviewing existing literature and empirical studies, the research provides insights for businesses, policymakers, and researchers to promote responsible usage and enhance documentation quality.