UK Finance has responded to the Treasury Committee call for evidence on use of AI in financial services. The response highlights:
- that adoption of AI varies significantly across financial services, but most institutions are in the exploratory phase;
- algorithmic trading and AI-driven trading are different and should not be conflated;
- current important use cases include:
- fraud detection
- AML, transaction monitoring and sanctions screening
- trading
- credit decisioning
- marketing and customer support
- cybersecurity
- back-office functions
- payments, clearing and settlement
- treasury and cash management
- investment and wealth management
- customer communications
- code generation and conversion
- contact centres
- risk management
- key regulatory constraints are data protection, resilience, cybersecurity and third party rules as well as the Consumer Duty and FCA conduct rules;
- key other constraints include the speed of technological change, deploying the AI, skills and governance, and customer trust and transparency.
