United Kingdom: New Technology

As artificial intelligence continues to accelerate economic growth, shifting trade policies in a dynamic trade environment are unsettling AI service providers and their supply chains.

AI sovereignty has become a top priority for states as concerns deepen over economic and technological interdependence and governments begin to prioritise security and regulatory control over efficiency.

AI is no longer just a technology story, it’s a regulatory, geopolitical and commercial battleground. As innovation accelerates, the rules governing it are fragmenting, stretching from boardroom risk decisions to global trade policy.

Amazon's latest Trustworthy Shopping Experience Report reveals how the e-commerce giant is leveraging artificial intelligence to revolutionize brand protection and consumer safety.

The Financial Stability Institute (FSI) at the Bank of International Settlements (BIS) has published a brief which outlines opportunities created by digital technologies to improve financial health in five areas...

Tokenisation, stablecoins and institutional decentralised finance are transitioning from niche concepts to central elements of financial market infrastructure discussions. As institutions examine blockchain-based systems for funds, treasury operations, and collateral management, the critical question shifts from theoretical utility to practical implementation—whether new digital infrastructure can deliver the legal certainty, governance standards, and operational resilience that institutional markets

This week, we are considering the vital role that IP contributes to business success and how to navigate a global brand and put this into practice.

The most damaging incidents inside large organizations rarely begin with dramatic misconduct. More often, they start with subtle deviations from normal behavior: a misplaced file, late-night access, a quiet grudge, or a moment of opportunity.

Public sector organisations face unique challenges when procuring AI-enabled services, from defining precise use cases to managing complex risks around transparency, bias, and accountability. This article examines the practical procurement considerations and governance frameworks needed to ensure AI systems remain safe, reliable, and compliant throughout their operational lifecycle.