AI Agents & Applications · intermediate · concept 253 of 311 · Updated Nov 4, 2026
AI in Finance
Finance has used machine learning for years in fraud detection, credit scoring and trading, and now adds language models for research, compliance and customer service. Regulation and explainability shape what can ship, since a lender may need to give the reasons for a decision. Bias, model risk and shared dependence on the same few vendors are the main concerns.
L2 · Confident professionalDevelopersTech leadersLeadershipProduct leadersNon-technicalQA and testingSEO and content
Key terms
Fraud detectionCredit scoringModel risk managementAlgorithmic tradingExplainability
Learn these first
Where you meet it in the real world
Fraud checks, underwriting support, document review, research assistants
Guides and articles
Artificial intelligence and the economy: implications for central banks ↗
Bank for International Settlements
Artificial intelligence in UK financial services ↗
Bank of England
The financial stability implications of AI ↗
Financial Stability Board