Fault Lines: Navigating Ethics and Responsible AI Where National Policy Meets Local Practice in Public Sector Transformation

Gap between national policy and local implementation: While the UK government promotes AI adoption in public services, local authorities—which deliver most services—lack clear guidance on translating this vision into responsible practice, creating a "fault line" where policy meets reality.

"Shadow usage" of AI poses hidden risks: Local authorities are using AI systems without formal oversight or documentation, raising serious data privacy concerns and making it impossible to ensure these systems meet responsible AI standards, particularly in sensitive areas like Special Educational Needs and Disabilities (SEND).

Power imbalance between government and AI vendors: Private companies providing AI solutions have more technical expertise and market power than local authorities, creating an asymmetry that makes it difficult for public sector organizations to negotiate fair terms, understand what they're buying, or hold vendors accountable.

Workforce lacks necessary skills and knowledge: Staff in local authorities don't have adequate training to implement, manage, or oversee AI systems responsibly, and there's no standardized approach to building this capacity across the public sector.

Accountability gaps need urgent attention: Current frameworks don't clearly define who is responsible when AI systems cause harm—whether it's the government, local authorities, vendors, or individual officials—leaving vulnerable populations like children with disabilities without clear recourse when things go wrong.