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<p>We have today (Wednesday 29 March) published our White paper outline our approach
for the regulation of AI. Our approach to AI regulation is proportionate, and is focused
on real risks, minimising unnecessary compliance burdens on businesses while protecting
people and our fundamental values.</p><p>AI has to date been regulated indirectly
by overlapping frameworks, such as data protection and competition, and sectoral regulators,
such as FCA and Ofcom. In some cases this led to confusion, gaps, and complexities.
The 2021 National AI Strategy made the case for greater coherence, clarity, and coordination
in the regulation of AI.</p><p>Engagement with a wide range of stakeholders has been
incredibly important during the progress of our work on AI regulation. We have engaged
with a wide array of thought leaders across the international AI ecosystem, and engaged
with businesses, regulators, research organisations and civil society groups. Many
of these stakeholders are very supportive of our approach to AI regulation.</p><p>The
White Paper we published today sets out a set of principles that regulators should
follow when thinking about AI. These are: 1. Safety, security and robustness; 2. Appropriate
transparency and explainability; 3. Fairness; 4. Accountability and governance; 5.
Contestability and redress.</p><p>We encourage any stakeholders with an interest in
the topic to respond to our consultation.</p>
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