Machine learning in UK financial services
Report published by the Bank of England and Financial Conduct Authority as its own text. Dated 2019-10.
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- Machine learning in UK financial services Bank of England and Financial Conduct Authority · published 2019-10 · Retrieved for the candidate pack on 2026-11-02 (SHA-256 1fa095e2568125819b36ccdfaab74777f82c07aa7b2e9ee6e2a80379cf8abac1). Retrieved again at admission on 2026-11-06 (same file). PDF of the joint report, October 2019, as served on 2026-11-02
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- AI and money: what central banks and financial authorities have said, 1997–2026 →2 records on this document
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- The opacity of AI models complicates risk management and supervisionThe Bank of England and Financial Conduct Authority report “Machine learning in UK financial services” of October 2019 states that machine-learning models are often very large, non-linear and non-parametric, which makes them harder to understand and validate, so that certain forms of risk-taking could go undetected.2019-10 · publication · Stated in source · Supported Inspect claim & evidence ↗The opacity of AI models complicates risk management and supervision: propositions page →
- AI can improve financial firms’ risk managementThe Bank of England and Financial Conduct Authority report of October 2019 states that the deployment of machine learning could reduce risks, for example by increasing the effectiveness of fraud detection and AML processes and through better risk assessment and management.2019-10 · publication · Stated in source · Supported Inspect claim & evidence ↗AI can improve financial firms’ risk management: propositions page →
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