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1、A CASE STUDY OF FINANCIAL CRIME PREVENTION THROUGH GENAIDISCLAIMERAll the views in this presentation by me are my personal and do not represent the views of the organization where I work.2FROM PREDICTIVE ML TO GEN-AI3Financial Crimes and Compliance risks keep evolvingPredictive Machine Learning lear
2、ns patterns from historical dataGenAI has potential to assist in building clarity to complex alerts and regulationsBoth must work together for stronger defensesValidation ensures accuracy,explainability,and trustGenAIs potential is real,but guardrails are criticalLike giving your guard dog night-vis
3、ion gogglesTHE TEMPTING POTENTIAL OF GENAI4GenAI is moving fast into pilot programs across the industry.Use cases:chatboxes,onboarding,compliance reviews.The potential is too tempting for banks and regulators to ignore.But early pilots expose fragile points:hallucinations,retrieval gaps,prompt drift
4、.Without validation guardrails,exploration can turn into exposure.Its like hot cake,too tempting not to try,but check the ingredients first.CASE STUDY:AML COMPLIANCE ASSISTANT5How such GenAI systems are built in practiceWe will discuss an internal assistant for AML and compliance teamsIt guides anal
5、ysts on regulations,policies,memos,and proceduresActs as a first-line explainer,not a decision-makerDesigned to improve efficiency and reduce interpretation riskLike GPS for compliance,shows the route,but you are still driving!BUSINESS PROBLEM6Analysts face an overwhelming flood of policies,memos,an
6、d regulationsKnowledge is scattered across systems,files,and teamsInstitutional memory often lives in silosThe result:wasted time and inconsistent answersNeed:One assistant to answer,“What does policy X require in scenario Y?”Its like looking for one sock in five different laundry baskets!DESIGN CHO