This white paper examines the emerging conflict between traditional copyright frameworks and the growing use of artificial intelligence within public administration. Governments increasingly rely upon digital systems, automated compliance processes, decision-support tools, regulatory technologies, and machine reasoning systems that require access to authoritative governance information. Existing copyright frameworks were developed primarily to regulate the reproduction and dissemination of expressive works by human users. However, legislation, regulations, policies, procedures, standards, administrative instruments, and related governance materials increasingly function as machine-readable authority sources that must be consumed without semantic variation if legal meaning is to be preserved. The paper argues that certain categories of public information perform a unique governance function that differs fundamentally from ordinary copyrighted works. It proposes the concept of Authoritative Governance Data (AGD) as a new policy classification for governance information whose legal and administrative effect depends upon exact wording, provenance, version integrity, traceability, and reviewability. The report analyses the implications of Crown copyright, public-sector information management, standards incorporated by reference, AI governance, regulatory technology, compliance automation, and digital government. It identifies risks associated with governance drift, authority drift, provenance failures, audit failures, and machine reasoning errors arising from the use of non-authoritative or transformed governance sources. The paper proposes a reform framework centred on machine-readable governance infrastructure, source integrity, version control, machine reasoning access rights, and public accountability. It concludes that governments should consider the development of new legal and policy mechanisms that preserve both copyright interests and the integrity of authority-bearing governance information in an era of increasingly automated public administration.