AI & ML for Standards Development: Transforming Collaboration and Efficiency

Abstract

The adoption of digital platforms and AI-driven tools in Standard Development Organizations (SDOs) has revolutionized how standards are created, reviewed, and distributed. However, traditional standard development processes still suffer from manual inefficiencies, collaboration barriers, and version control challenges. Artificial Intelligence (AI) and Machine Learning (ML) are emerging as transformative technologies, enhancing automation, decisionmaking, and collaboration. This paper explores the integration of AI and ML in modern standard development platforms, detailing key applications such as AI-powered drafting, smart search, predictive analytics, automated compliance, and AI-driven voting systems. Additionally, it highlights the benefits, challenges, and future outlook of AI-driven standardization, emphasizing AI’s role in improving efficiency, transparency, and scalability in the standard
development process.