The most recent update included three new datasets in SNAP. These consist of 18,000 UK and US sanctioned entities, which includes those added after Russia’s invasion of Ukraine, 1,000 World Bank debarments, making them ineligible for World Bank contracts, and 647,000 UK dormant companies with no income.
Public sector organisations will receive enhanced support in identifying fraudulent claims on public funds through contracts, grants, and loans with the help of this new data.
The AI tool will receive regular updates with new datasets, enhancing the Government’s capacity to identify fraud cases against the public sector.
Minister Neville-Rolfe also revealed today that in 2024-25, the Government plans to initiate several AI discovery initiatives aimed at uncovering innovative methods to uncover fraud.
The initial project will employ AI to pinpoint individuals who repeatedly register and bankrupt companies in order to evade debt payments, commonly referred to as ‘phoenixing’.
The Public Sector Fraud Authority will meticulously assess all of these AI discovery projects, ensuring they adhere to the Government’s Generative AI Framework.
