Operationalising the UK’s AI regulation principles: expert perspectives on the role of standards

Description

The UK government’s pro-innovation approach to AI regulation (AI white paper), published 29 March 2023, sets out five principles representing what “well governed AI should look like on a cross cutting basis”. To support the operationalisation of these principles, the white paper emphasises the use of consensus-based standards – developed by Standards Development Organisations (SDOs) such as ISO/IEC, IEEE, and BSI. However, it can be difficult to determine the potential relevance of individual standards for this task.

This event will explore ongoing Turing research mapping and assessing the role of individual standards for operationalising the white paper principles. The research aims to support industry and regulatory bodies to identify where standards can play a role in achieving the objectives defined by the UK’s AI regulation principles (e.g., through informing AI governance processes and regulatory guidance).

In the first section of the event, Turing researchers will present their assessment methodology and interim findings, highlighting where, and which standards can support the operationalisation of the white paper principles.

In the second section of the event, Chris Thomas will chair a discussion with Nuala Polo – Department for Science Innovation and Technology; Annie Leith – Competition and Markets Authority; Dr Matilda Rhode – British Standards Institution; and Huw Roberts – Oxford Internet Institute. The panel will explore findings from the research and share broader perspectives on the role of standards in the UK’s AI regulatory approach, identifying opportunities, and discussing gaps and challenges.

This event aims to contribute to the responsible development and deployment of AI in the UK and to support the development of a world-leading regulatory system for AI. Register to find out where AI standards could help you to operationalise the AI white paper principles, and which standards will be relevant for this task.