Governance Data, Copyright, and Artificial Intelligence: Why Authority-Bearing Public Information Requires a New Legal Classification

This paper examines an emerging challenge in digital government: the interaction between copyright law, public governance information, and artificial intelligence systems. Traditional copyright frameworks were developed for a world in which legal and administrative texts were interpreted primarily by humans. Increasingly, however, legislation, regulations, standards, policies, procedures, and administrative instruments are being consumed by machine reasoning systems that require access to exact authoritative wording. The paper argues that governance information differs fundamentally from ordinary copyrighted works because its legal and administrative effect depends on precision, provenance, version integrity, and reviewability. It introduces the concept of Authoritative Governance Data (AGD) as a proposed policy classification for authority-bearing public information and examines the implications for Crown copyright, open government data, standards incorporated by reference, AI governance, public administration, regulatory technology, and digital government. The paper proposes a framework for ensuring that automated systems can access authoritative governance sources without introducing legal, administrative, or compliance drift. It argues that future public administration will depend increasingly on machine-readable governance infrastructure and that existing copyright classifications may be insufficient for that environment. This publication is intended to contribute to policy discussion concerning government information management, legal infrastructure, digital governance, and artificial intelligence.