About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Briefs

UK Governments Releases AI Rulebook

Subscribe to our newsletter

The UK government has released an AI rulebook with a view to protecting data and promoting responsible use of the technology. Proposals in the rulebook look to future regulation of AI and take a less centralised approach than the EU. AI is defined as ‘machines which learn from data how to perform tasks normally performed by humans. For example, AI helps identify patterns in financial transactions that could indicate fraud.’

The proposals are part of the Data Protection and Digital Information Bill that has been introduced to Parliament. Instead of giving responsibility for AI governance to a central regulatory body – as the EU is doing through its AI Act – the proposals allow different  regulators to take an approach suited to their industry, the aim being to create proportionate and adaptable regulation that allows AI to be rapidly adopted to boost productivity and growth.

Whatever the application, however, regulators must make sure developers and users follow six core principles: ensure AI is used safely; ensure AI is technically secure and functions as designed; make sure AI is appropriately transparent and explainable; consider fairness; identify a legal person to be responsible for AI; and clarify routes to redress or contestability.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Data as a Product: From Collection to Control in Modern Markets

For much of the past decade, data strategy in capital markets focused on accumulation. Firms invested heavily in market data feeds, alternative datasets, data lakes, and analytics platforms. Yet despite this abundance, many organisations have still struggled to answer basic operational questions with confidence, particularly during periods of market stress. The problem is no longer...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...