techUK position paper – Governance for an AI future

In collaboration with our members, techUK has summarised four top priorities for a successful AI governance regime in the UK.

techUK has prepared this short paper setting out what we believe must be key elements included in the National AI Strategy white paper if we are to a build proportionate, innovation-friendly and effective AI governance regime.



Please fill in this short form to access the report, which will be sent to you by email.




One way to help secure greater public trust is by adopting a clear and transparent approach to AI governance, which facilitates informed engagement. In the National AI Strategy published last year, the government established that a governance regime which “supports scientists, researchers and entrepreneurs while ensuring consumer and citizen confidence in AI technologies” is fundamental to securing the UK’s ongoing position as a global AI superpower. The strategy also announced that the government is preparing a white paper that is expected to set out its chosen path for the UK’s future AI governance framework.

We encourage the government to:

  1. Take a risk-based approach; tier AI governance requirements by the estimated level of risk posed by a given AI model or application, informed by clear criteria and categories.
  2. Consider the entire AI lifecycle; clarify at what stages, from AI planning and procurement to ongoing use, risks can reasonably be expected to be addressed.
  3. Encourage and oversee the development of an effective AI assurance market;  work with industry to develop consistent and transparent requirements catering to different levels of risks and AI lifecycle stages.  
  4. Acknowledge the role of existing regulation; ensure that any potential new regulation or governance mechanisms do not replicate or contradict existing regulation.