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Vendors and FIs diverge most sharply on the explainability challenge for...
Key views of Primary concerns of AI adoption in risk and compliance across FIs and vendors:
Global State of RegTech report surveyed 300 FI...
Reducing false positives in AI risk detection
AI-enabled supervision is often marketed with bold promises of “99% accuracy” or near-total false positive reduction. In a previous instalment of this series, the...
Why PRAUC is the true test of AML model performance
Is PRAUC the gold standard for AML model performance? Many compliance teams are now asking this question as they seek a clearer picture of...
Overcoming hurdles to adopt AI in financial crime detection
Amidst growing acknowledgment of AI's prowess in uncovering fraud and financial crime, there remains a gap between those financial institutions (FIs) recognising its potential and those implementing it.