UK Government to Strengthen Fraud Strategy Amid AI Threats
New measures aim to tackle fraud through enhanced data sharing, international collaboration, and technological advancements.
The UK government is set to enhance its strategy to combat fraud by addressing the threats posed by artificial intelligence.
The updated strategy, part of the Government's Plan for Change, is expected to be published later this year.
It will outline proposals focused on data sharing, the evolving threats of new technologies, and international cooperation in the fight against fraud.
The Home Office has indicated that the strategy will involve collaboration with the private sector to address fraud against businesses, increase public awareness, and improve victim support services.
Fraud minister Lord Hanson highlighted the changing nature of fraud, stating, "Fraud has changed and so too must our response." He emphasized the international scope of fraud, noting that it is typically perpetrated by organized criminal gangs operating globally.
In a speech scheduled for the Global Anti-Scams Alliance summit in London, which takes place on Wednesday and Thursday, Lord Hanson will address these issues and outline the government's proposals.
He will discuss the importance of accelerating data-sharing measures to effectively counter online harms and mentioned that advancements in technology could help reduce the administrative burden on law enforcement.
Additionally, Lord Hanson will announce the UK’s forthcoming role in leading a global fraud summit, which will be hosted by Interpol and the UN Office on Drugs and Crime in Vienna in 2026. This event aims to facilitate international dialogue and cooperation in tackling fraud.
Recent statistics from the Office for National Statistics show that reports of consumer and retail fraud in the UK increased by 19% in the year ending June 2024. Furthermore, fraud and cyber offenses now represent 50% of all online crime in the UK, underscoring the urgent need for an updated response to these growing threats.