Rob Gruppetta, Head of the Financial Crime Department at the UK Financial Conduct Authority (FCA), recently gave a speech at the FinTech Innovation in Anti-Money Laundering (AML) and Digital ID regional event, London about “Using artificial intelligence to keep criminal funds out of the financial system”. He considered whether machine learning and artificial intelligence (AI) techniques could help. Better transaction monitoring is not the only way AI can aid the fight against money laundering. The Financial Stability Board (FSB) published a report on 1 November about the impact of AI that identified other ways it can help. Examples include AI-driven anti-impersonation checks that evaluate whether photos in different identity documents match, and using machine learning to identify customers that may pose a higher risk and so warrant, say, a deeper probe into the sources of their wealth.
By Cameron Abbott and Harry Crawford
With 2017 at a close, US banks have set out their 2018 FinTech new year resolutions. According to American Banker, US banks are likely to focus their FinTech investment in 4 major areas in 2018:
- Artificial intelligence and machine learning
- Open banking
- Cybersecurity and biometrics
- Commercial banking innovation