Fault Lines: Navigating Ethics and Responsible AI Where National Policy Meets Local Practice in Public Sector Transformation
arXiv:2606.13039v1 Announce Type: cross Abstract: The UK government has adopted a pro-AI stance to help transform public service delivery in the face of severe financial pressures, but the path to translate this vision into responsible AI practice remains ill-defined. While UK policy is often set at the national level, local authorities are responsible for most public service delivery, and the rapid advance of AI-first narratives in the public sector is exposing fault lines in knowledge and practice at this national-local interface. This paper examines how responsible AI is interpreted and imp
The UK government's pro-AI stance and rapid AI-first narratives are accelerating the tension between national policy design and local implementation challenges, bringing ethical and practical 'fault lines' to the forefront.
This highlights the critical challenge of operationalizing responsible AI, particularly in public services where ethical considerations are paramount and local adaptation is crucial for effective deployment.
The focus is shifting from high-level AI policy pronouncements to the messy reality of practical, ethical implementation at the local government level, exposing gaps in knowledge and practice.
- · AI ethics consultancies
- · Local government digital transformation teams
- · Responsible AI framework developers
- · AI developers ignoring ethical implementation
- · Centralized policy-makers without local insights
- · Public services with legacy IT infrastructure
Increased scrutiny and demand for robust ethical AI frameworks tailored for public sector application.
Potential for early AI deployments in public services to fail or face public backlash due to ethical missteps, slowing adoption.
Development of new models for national-local collaboration and knowledge transfer to ensure equitable and responsible AI integration across public services.
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Read at arXiv cs.AI