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X-ORIGINAL-URL:https://www.aiba-us.org/
X-WR-CALNAME:AIBACP
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CLASS:PUBLIC
UID:MEC-4fac9ba115140ac4f1c22da82aa0bc7f@aiba-us.org
DTSTART:20250910T163000Z
DTEND:20250910T200000Z
DTSTAMP:20250813T190700Z
CREATED:20250813
LAST-MODIFIED:20250813
PRIORITY:5
SEQUENCE:3
TRANSP:OPAQUE
SUMMARY:Unlocking Model Potential: Advanced Tuning, AI, and Auditing for Compliance
DESCRIPTION:[vc_row][vc_column][vc_column_text css_animation=”bounceIn” css=””]\nWednesday, September 10, 2025\nUnlocking Model Potential:\nAdvanced Tuning, AI, and Auditing for Compliance\nPresented by AIBACP and Cygnus Compliance\nHalf-day, In-Person Symposium\n12:30 p.m. EDT – Guest Arrival / Sign-in\n1:00 p.m. – 4:00 p.m. – Speaker Presentations\nRefreshments will be served\nNew York City Bar Association\n42 West 44th Street, New York, NY\nREGISTER TODAY!\nCurious how advanced model optimization, artificial intelligence, and governance intersect to transform AML, sanctions,\nand regulatory compliance? Join us as Cygnus Compliance and leading voices from the international banking\ncommunity convene for a dynamic, three-panel program tackling the most pressing opportunities and risks facing\nfinancial institutions today.\nPanel I: Tuning with Precision: Advanced AML & Sanctions Model Optimization (Speakers TBA)\nKey Themes:\n\nUnlocking model potential through back-testing, threshold calibration, and intelligent tuning\nContinuous model monitoring: KPIs, false positive reduction, and regulatory defensibility\nFulsome documentation, audit trails, and examiner-ready validation packages\nIntegration of enriched data sources (i.e. ISO 20022 fields) into tuning frameworks\n\nTakeaway: Actionable techniques to maintain AML effectiveness while enhancing efficiency and governance\nPanel Il: Smarter Compliance: The Role of AI in AML, Sanctions, and Investigations (Speakers TBA)\nKey Themes:\n\nLeveraging GenAI and LLMs for intelligent alert triage, SAR drafting, and investigator workflows\nRisks and controls: mitigating hallucinations, bias, and explainability issues / Black box problems\nAI model governance in regulated environments\n\nTakeaway: Practical AI adoption strategies that reduce friction and boost accuracy across the compliance lifecycle\nPanel lll: Auditing AI at Financial Institutions – Risk, Assurance & Governance (Speakers TBA)\nKey Themes:\n\nUnderstanding hallucination and drift: how LLMs can produce misleading outputs and how auditors can assess robustness and reliability\nEvaluating governance and control frameworks: ensuring AI systems are designed and operated with accountability, transparency, and fairness\nAuditing data sourcing and model integrity: identifying risks related to bias, data lineage, and third-party AI tools\nTesting explainability and monitoring procedures: assessing whether internal AI systems support decision-useful, interpretable outcomes\nBenchmarking against emerging standards: comparing internal practices to leading frameworks and evolving regulatory expectations\n\nTakeaway: Why internal audit functions must evolve to provide independent, evidence-based assurance over AI systems – and how doing so can build trust, mitigate risk, and support responsible innovation.\nMembers may register as follows: sign-in on the website https://www.aibacp.org/ , select “Upcoming Events”\nNon-members who wish to attend may apply for membership on the website\nCPE Credit: 3 CPE credits will be awarded to members attending the in-person seminar\nAgenda to follow[/vc_column_text][/vc_column][/vc_row]\n
URL:https://www.aiba-us.org/events/unlocking-model-potential-advanced-tuning-ai-and-auditing-for-compliance/
ORGANIZER;CN=Cygnus Compliance:MAILTO:
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