I keep seeing discussions around black-box model and how it's a big problem that we don't always know how these models arrive at their conclusions. Like, sure in fields like medicine, finance, or law, I get why explainability matters.
But in general, if the AI is giving accurate results, is it really such a big deal if we don't fully understand its inner workings? We use plenty of things in life we don’t totally get, even trust people we can't always explain.
Is the obsession with interpretability sometimes holding back progress? Or is it actually a necessary safeguard, especially as AI becomes more powerful? .
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