Audit Trails for Evolving AI: Catching the Ghost Problem

Traditional audit trails: fixed model, known decisions, reconstructable logic.

AI credit models: continuous retraining, transfer learning, model versions evolving daily.

The ghost problem: you can't reconstruct which model approved a loan yesterday because that model doesn't exist today. It's been retrained, updated, replaced.

Regulators ask: "Why did you approve this loan?" You answer: "The model said so." Follow-up: "Which version of the model?" You can't answer. The version is gone.

ACRGA-AUDIT solves this: immutable logs capturing model versions, training data, input data, decisions, audit trails with cryptographic hashing.

You can reconstruct exactly what happened and why.

Not optional. Required for regulatory credibility.

#Compliance #Audit #AIGovernance