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UK Public Sector AI Implementation Faces National-Local Practice Gaps

A new paper explores the challenges of implementing responsible AI within the UK public sector, highlighting a disconnect between national policy and local practice. The research, based on interviews with policymakers and practitioners, identifies five key issues: shadow AI usage and data privacy risks, market-government asymmetry in AI provision, insufficient workforce readiness, a lack of standardized definitions, and gaps in human accountability. The paper argues for both national policy adjustments and structural reforms at the local level to ensure responsible AI deployment, particularly in high-stakes areas like Special Educational Needs and Disabilities (SEND). AI

IMPACT Highlights critical gaps in AI policy implementation within public sectors, suggesting a need for better alignment between national strategies and local practices.

RANK_REASON The cluster contains an academic paper discussing AI policy and implementation challenges. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sitong Lyu, Shabnam Taghiyeva, Mohit Kukadia, Denis Newman-Griffis ·

    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 po…