UK government to publish ‘tests’ on whether to pass new AI laws

Ministers keep threat of future curbs but persist with light-touch regulatory regime.

The UK government is set to publish a series of "tests" that will inform the decision-making process on whether to pass new laws governing artificial intelligence (AI). This initiative is part of the government's ongoing approach to AI regulation, which emphasizes maintaining a light-touch regulatory regime. The government's intention is to define specific thresholds or scenarios that would trigger the need for new legislation on AI, ensuring that any new laws do not unduly impede innovation.

One such scenario being considered is if major AI developers fail to adhere to commitments for developing safe systems, or if the UK’s AI Safety Institute is unable to identify risks in new applications that then become widespread. This approach aligns with the UK's "pro-innovation" stance on AI regulation, which aims to mitigate risks and support safe and responsible AI innovation while avoiding unnecessary impediments to technological advancement.

Key principles set to underpin the regulatory framework include safety, security and robustness, transparency and explainability, fairness, accountability and governance, and contestability and redress. These principles are consistent with the approach outlined in the government's AI white paper published in March 2023. Regulators like the Information Commissioner's Office, Competition and Markets Authority, Ofcom, and others are expected to issue practical guidance and tools to organizations for implementing these principles in their respective sectors.

This UK approach contrasts with the European Union's AI Act, which proposes a more centralized and detailed rulebook for AI regulation. The UK government's policy paper emphasizes a decentralized approach, leveraging the expertise of existing regulators and focusing on high-risk concerns, rather than hypothetical or low risks associated with AI use.

In summary, the UK government is balancing the promotion of AI innovation with the need for responsible regulation, opting for a sector-specific approach and leveraging existing regulatory frameworks rather than introducing new, sweeping AI legislation at this stage.