Technical documentation with artificial intelligence

Abstract

Integrating Artificial Intelligence (AI) into technical documentation constitutes a transformative shift in how organisations create, manage, and deliver content. This thesis examines AI’s role in automating routine tasks, enhancing accuracy, and improving user engagement. By automating processes such as content validation and formatting, AI enables technical writers to concentrate on strategic and creative contributions. The study highlights AI’s capacity to deliver personalised and dynamic documentation tailored to diverse user needs, streamline workflows, and maintain consistency across global markets. The study also identifies key challenges in AI adoption, including data quality, workforce adaptation, and ethical concerns such as algorithmic bias and data privacy. Through actionable insights, the research underscores the importance of transparent AI policies, continuous professional training, and ethical implementation to maximise the potential of AI. By transforming technical documentation into a strategic organisational asset, AI supports innovation, operational efficiency, and enhanced user experience. This thesis presents an overview of key considerations for organisations seeking to adopt AI responsibly and effectively in their technical documentation processes.