Model-risk officers in banking aren’t rejecting generative AI—they’re grilling it with questions operators need to answer before deployment. Here’s what they ask and how to prepare.
The first question model-risk teams ask is deceptively simple: can you explain how the model produced a specific output? For traditional credit models or fraud detection systems, this means showing feature weights, decision trees, or logistic regression coefficients. For generative AI, the answer is significantly…
Read the full analysis on Interactive Intel, Alton Worldwide’s agentic-AI practice: What Model-Risk Teams in Banking Actually Ask About Generative AI