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<p>The AI White Paper emphasised the importance of ensuring that UK regulators and
public bodies have the capacity, expertise, and capabilities to implement government’s
pro-innovation approach whilst recognising and understanding the risks. This is particularly
true for those regulators for which AI falls squarely within their regulatory remit,
but also applies to a much wider range of public and regulatory bodies considering
the implications AI has across the economy.</p><p> </p><p>The Cabinet Office ALBs
include 3 bodies that are either formally or informally classified as regulators:</p><p>
</p><ol><li><p>The Civil Service Commission: The CSC are often referred to as a ‘regulator’
of recruitment into the Civil Service but undertake assurance/compliance work in respect
of civil service recruitment only and are out of scope.</p></li></ol><p> </p><ol start="2"><li><p>The
UK Statistics Authority includes the Office of Statistics Regulation who set the statutory
Code of Practice for Statistics and assess compliance with the Code. The Office for
Statistics Regulation (OSR) utilises a regulator on a 0.33 FTE basis for their work
providing <a href="https://osr.statisticsauthority.gov.uk/publication/guidance-for-models-trustworthiness-quality-and-value/"
target="_blank">guidance</a> on how the principles in the <a href="https://code.statisticsauthority.gov.uk/"
target="_blank">Code of Practice for Statistics</a> can help in designing, developing
and using models to improve their trustworthiness, quality and value. Their guidance
covers both traditional statistical techniques, such as linear regressions, and newer
techniques, like machine learning, when they are used to create outputs that inform
decision making or public policy. The OSR also regularly engages with other regulators
on this topic through the attendance of workshops and working groups to ensure they
remain aware and responsive to any developments in this space. The OSR does not plan
to increase the time allocated to these issues. The promotion of the Code of Practice
for Statistics into new areas of statistical analysis and data use has been a long-standing
area of focus for the next year, and will continue to be, including in relation to
AI (e.g. large language models).</p></li></ol><p> </p><ol start="3"><li><p>The Equalities
and Human Rights Commission: the Equalities Hub have provided a separate response
on this PQ (188555) via the Rt Hon Kemi Badenoch MP, Minister for Equalities.</p></li></ol><p>
</p><p>As part of the AI regulation White Paper consultation, we are engaging closely
with regulators across the wider landscape and their sponsoring government departments
to understand the organisational capacity they need to regulate AI effectively, across
technical, regulatory, and market-specific expertise. This will inform our work to
develop policy options with a view to addressing any gaps that emerge.</p><p> </p>
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