The Future of Artificial Intelligence (AI) Regulation in the UK

AI is becoming more widely available to businesses of all sizes, tools such as Microsoft 365 Copilot, and Agentic AI appearing in line of business applications such as Microsoft Dynamics® Business Central means that any business can start experimenting with and using AI as part of their everyday workload and processes.  This is great for the business in terms of productivity, but what does this mean in longer term, how will future regulation likely impact on what businesses are putting in place today?

The UK government is taking a distinct approach to regulation - one that prioritises innovation over regulation while cautiously addressing risks. Unlike the EU’s AI Act, the UK has opted for a non-statutory, principles-based framework. However, recent developments, including the proposed Artificial Intelligence (Regulation) Bill by Lord Chris Holmes, suggest that more formal oversight may be on the horizon.

1. Current Regulatory Landscape

The UK government’s strategy is built around five core principles: safety, transparency, fairness, accountability, and contestability. These are enforced by existing regulatory bodies such as the Information Commissioner’s Office (ICO), Ofcom, and the Financial Conduct Authority (FCA), each overseeing AI within their respective domains.

To support innovation, the government has launched AI Growth Labs - sandbox environments where companies can test AI products under relaxed regulations. These labs are designed to accelerate development in sectors like healthcare, transport, and manufacturing, while maintaining oversight through licensing and supervision.

2. The Artificial Intelligence (Regulation) Bill

Introduced by Lord Chris Holmes in March 2025, but not yet backed by government or brought into policy, the AI Regulation Bill aims to establish a statutory framework for AI governance. Key proposals include:

• Creation of a central AI authority to coordinate regulation and identify oversight gaps.
• Mandatory AI Officers in organisations to ensure compliance.
• Regulatory sandboxes for safe experimentation.
• Transparency requirements for training data, including IP and consent disclosures.
• Health warnings and consent options for AI products.
• Independent audits of AI systems to ensure ethical standards.

The bill is a Private Member’s Bill and lacks government backing, but it reflects growing concerns around bias, misinformation, copyright infringement, and unethical AI behaviour. Social media is currently awash with misleading AI generated content and such AI content is already being ‘weaponised’ by scammers and other organisations to add bias in the population. As more businesses adopt AI and start to push the ethical boundaries, then regulation will be inevitable.

3. Implications for UK Businesses

Over the next few years, UK businesses can expect:

1. Increased Scrutiny: Even without new laws, regulators are likely to intensify oversight, especially in high-risk sectors.
2. Compliance Pressure: Companies may need to appoint AI Officers and prepare for audits if the bill gains traction.
3. Transparency Demands: Businesses will be expected to disclose training data sources and ensure ethical use of third-party content.
4. Innovation Opportunities: Regulatory sandboxes offer a chance to test and refine AI solutions with government support.
5. Global Alignment Challenges: Firms operating across borders will need to navigate differing regulatory regimes, especially between the UK and EU.

4. Microsoft’s Azure Copilot Studio … other solutions are available!

The Azure Copilot Studio allows companies to create their own AI tools using the toolset provided by Microsoft. Microsoft imposes a comprehensive set of AI governance and compliance controls on its Azure Copilot Studio tools to ensure safe, ethical, and legally compliant use of AI within enterprise environments. Their Security & Governance Framework includes:

1. Responsible AI Standards: Copilot Studio adheres to Microsoft’s Responsible AI Standard, ensuring AI is deployed safely, fairly, and transparently.
2. Tenant-Level Data Boundaries: All data processing occurs within the customer’s Microsoft 365 tenant, not on public endpoints like ChatGPT, ensuring data residency and sovereignty, especially for EU customers under the EU Data Boundary commitment.
3. Inherited Permissions: AI agents can only access data (e.g., SharePoint, OneDrive) that the user is already authorised to view. No separate AI-specific access setup is required. [visuallabs.com]

For UK organisations, especially in regulated sectors like finance, healthcare, and government, Microsoft’s Copilot Studio offers a set of secure AI tools, enabling innovation while maintaining compliance.

5. Conclusion

The UK’s approach to AI regulation is evolving. While current policies favour innovation, the proposed AI Regulation Bill signals a shift toward more structured oversight. While the UK government continues its’ stance of innovation over regulation, then there is unlikely to be a conflict in terms of regulatory compliance and the governance and compliance controls of third party AI solutions.

It is also likely, given the current stance, that the UK government will not be too heavy handed in it’s approach to regulation and work within the boundaries of the frameworks adopted by the larger tech providers or discuss potential modifications to such frameworks ahead of regulation.  However, businesses should stay informed, engage with regulators, and prepare for a future where transparency, accountability, and ethical AI use are not just best practices - but legal requirements.

As part of our continuing work with software and industry, we continue to stay on top of the latest in AI as it becomes an ever present part of our working lives. 

Tom Jenkins

Tom is one of the founding directors of Dynamics Consultants. He has worked on ERP / CRM systems since 1995, initially as an end user and later as a developer/consultant. Before founding Dynamics Consultants, Tom worked in a management role for a machinery importer / reseller, where his work included inventory management and purchase control, systems development, and IT project management.