TL;DR

The Alan Turing Institute has published an AI Regulatory Capability Framework and Self-Assessment Tool to help UK regulators govern AI effectively. The voluntary resources align with the Government’s AI Opportunities Action Plan and include 28 regulatory activities, six capability factors and 17 good practice statements.

Bridging Ambition and Capability

The new framework addresses a critical gap between the UK’s AI ambitions and regulators’ practical capabilities. Designed for regulators and public sector decision-makers, it provides a structured way for organisations to understand, evaluate and improve their AI regulation processes.

“If regulated effectively, AI has the potential to positively impact every sector of the economy and transform how we deliver public services,” said Chris Thomas, Senior Research Associate at the Turing Institute. “This research is the first of its kind to provide a structured way for regulatory organisations to measure their own practical ability to regulate AI.”

Framework Structure

The framework comprises three core elements. First, 28 discrete AI regulatory activities mapped under a six-stage model of the regulatory lifecycle. Second, six capability factors that interact to determine an organisation’s overall AI regulatory capability. Third, 17 capability statements benchmarking “what good looks like” for effective AI regulation.

The framework is designed to work across all regulators while remaining flexible enough to reflect specific roles, powers and objectives. It enables those responsible for AI oversight to understand what AI-capable regulation looks like at individual, organisational and system-wide levels.

Collaborative Development

The framework was shaped through significant engagement with UK regulatory organisations, academic and policy experts, and cross-government stakeholders. It has been developed in collaboration with the Department for Science, Innovation and Technology and builds on prior Turing Institute research.

Looking Forward

For UK businesses, this framework signals a maturing approach to AI governance. As regulators adopt these tools, organisations can expect more consistent and accountable AI oversight. The self-assessment approach suggests regulators will be actively working to improve their capabilities, which should benefit businesses seeking clarity on AI compliance requirements.