What It Takes to Trust an AI Risk Score: Key Lessons for Audit-Ready AI

As regulatory deadlines like OSFI E-23 approach, organizations must be prepared to defend AI-influenced decisions. This article highlights three critical factors for trusting AI risk scores: reproducibility, the inability to pin hosted models, and the potential for AI to disregard structured input in favor of free-text. Internal audit and assurance professionals should demand clear answers on these points to ensure AI tools are truly audit-ready.