Treasury Committee calls for sharper oversight of AI in financial services: Parliament’s Treasury Committee said the current approach risks consumer harm and financial stability, and pushed for more practical clarity from regulators and AI specific stress testing. This matters for UK lawyers advising banks, insurers, fintechs, and outsourcers on governance, accountability, and third party risk. (UK Parliament)

Government appoints “AI Champions” for financial services: HM Treasury appointed 2 industry figures to help accelerate safe AI adoption across financial services, with an explicit focus on scaling delivery while protecting consumers and stability. For lawyers, it is another sign that AI governance in regulated sectors is moving from abstract principle to named roles and accountability. (GOV.UK)

Government publishes its “AI Opportunities Action Plan: One Year On” update: DSIT published a status update on delivery against its plan, emphasising skills, public service deployment, compute capacity, and support for UK AI companies. This matters because it shapes the near term policy backdrop for procurement, public sector AI adoption, and the direction of travel on “safe but faster” deployment. (GOV.UK)

UKJT consults on liability for AI harms under English private law: The UK Jurisdiction Taskforce opened a consultation for an “authoritative” legal statement on when English law may impose liability for non deliberate harms caused by AI. This is one to watch for litigators and for in house teams building AI into products and operations, because it goes directly to duty, causation, control, and allocation of responsibility in real world deployments. (LawtechUK)

Alan Turing Institute launches an AI regulatory capability framework: A new voluntary framework and self assessment tool is aimed at helping UK regulators benchmark and improve how they regulate AI, including “what good looks like” across the regulatory lifecycle. This matters because it may translate into more consistent expectations across sectors, which will affect compliance programmes and audit readiness for clients using AI. (The Alan Turing Institute)

Guidance on making government datasets “AI ready”: GDS and DSIT published detailed guidance on preparing public sector datasets for AI use, focusing on data quality, documentation, governance, and lawful, trustworthy reuse. For UK lawyers, it is relevant to public sector procurement, data sharing arrangements, information governance, and the practical controls that sit underneath “responsible AI”. (GOV.UK)