Governments are rapidly adopting artificial intelligence, yet many public procurement frameworks were not designed to address the risks, governance obligations, and accountability requirements AI introduces. Poorly structured contracts and sourcing decisions can expose public institutions to legal, ethical, and operational failures.

Public Sector AI Procurement Guides is a procedural, practice-oriented resource for public sector buyers, policy teams, and oversight bodies responsible for acquiring and governing AI-enabled systems. The book focuses on translating responsible AI principles into enforceable procurement actions suitable for government environments.

This volume provides step-by-step guidance on embedding governance, transparency, and auditability into public AI procurements. It emphasizes defensible processes, clear accountability, and evidence-based oversight aligned with public sector obligations.

Key areas covered include:

• Structuring AI-ready RFPs and tender documentation


• Mandatory governance and accountability requirements for vendors


• Evaluation criteria beyond cost and functionality


• Contractual controls for transparency, audit rights, and reporting


• Evidence and documentation public auditors expect to see


• Ongoing oversight and lifecycle management of AI suppliers

Written for non-technical decision-makers, this book equips public institutions to procure AI responsibly while maintaining public trust, regulatory compliance, and operational integrity.