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Debate: Scaling AI Across Trade Without Losing Control of It

Conference

2026-10-06 | 04:10 PM - 05:00 PM

Information

· What separates firms scaling AI successfully across trade surveillance from those stuck at pilot stage, and what are the biggest bottlenecks holding the rest back?

· What steps are firms taking to trace data lineage and actively test for blind spots in the historic data used to train surveillance models?

· What does an appropriate ‘human in the loop’ model look like in practice, and what's essential to preserving analyst judgement and accountability as AI becomes more integrated?

· As AI becomes standard in regulatory examinations, what are examiners actually asking of firms and how can complex models remain explainable and auditable?

· How can firms ensure AI developments increasingly focus on genuine risk reduction, not just efficiency gains?