Why ‘Black Box’ AI models fail governance standards in banking

Banks can adopt Explainable AI (XAI) techniques, implement independent model validation, conduct fairness testing, continuously monitor model performance, and maintain human oversight for high-impact decisions.

Rather than asking only whether an AI model is accurate, they should ask whether its decisions can be explained, whether bias has been assessed, who is accountable for outcomes, and how ongoing performance is monitored.

A black box model makes predictions using complex algorithms that are difficult for humans to interpret.