How does AI assurance relate to the UK’s five AI regulatory principles?

Answered

The white paper principles describe what outcomes AI should achieve: safety/security/robustness, transparency/explainability, fairness, accountability/governance, and contestability/redress. Assurance techniques and standards are tools for trustworthy AI that help organisations show how they meet those outcomes in practice.

From the guidance

Primary (how) Introduction to AI assurance

AI assurance will play a critical role in the implementation and operationalisation of these principles. The principles identify specific goals – the “what” - that AI systems should achieve, regardless of the sector in which they are deployed. AI assurance techniques and standards (commonly referred to as “tools for trustworthy AI”) can support industry and regulators to understand “how” to operationalise these principles in practice

Section: 3.2 AI assurance and governance

Read this in Introduction to AI assurance (opens in new tab)

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