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Enhancing AI Explainability and Use in Financial Crime Detection
The chapter explores the significance of explainability in AI, particularly in the context of sanction screening for increased entities and transactions. It discusses the challenges of false positives in alert systems and the crucial role of digital workers in efficient alert filtering. Additionally, it touches on the integration of generative AI with classical AI techniques for financial crime detection and the importance of human judgment in resolving ambiguous cases.