Standards & policy
The AI rulebook.
The appointments and instruments through which Matthew helps shape how AI is governed, from the ISO standards table to the EU AI Office.
The appointments and instruments through which Matthew helps shape how AI is governed, from the ISO standards table to the EU AI Office.
One of four global sub-editors of the international standard for the AI data lifecycle.
Contributor to the EU AI Office’s General-Purpose AI Code of Practice.
Member of the Innovate UK BridgeAI Advisory Committee, the UK’s AI adoption programme.
Holder of a granted US patent for AI-driven video classification technology.
Board member, leading on AI and data.
A family of free explainer sites unpacking the rules and standards that shape AI.
The Act in plain English, through a UK lens.
RegulationThe global regulatory landscape at a glance.
StandardsThe standards that matter, and how they fit together.
StandardThe AI data lifecycle standard, explained in depth.
StandardData quality for analytics and machine learning.
StandardThe AI management system standard.
Artificial intelligence is being regulated in real time, and much of the practical detail is being decided not in parliaments but in standards committees. ISO/IEC 8183 defines the data life cycle framework for AI systems: how data is sourced, processed, governed and retired across the life of a model. As one of four global sub-editors of the standard, Matthew Blakemore works on the text that auditors, regulators and engineering teams will use to judge whether an AI system was built responsibly.
That work connects directly to European regulation. As a contributor to the EU AI Office’s General-Purpose AI Code of Practice and a member of Innovate UK’s BridgeAI Advisory Committee, Matthew helps translate high-level legal obligations into steps organisations can actually take. The registers and explainers on this page exist to make that world legible, because businesses that understand the rulebook early adopt AI faster, and more safely, than those that wait.