Sure, human pattern recognition is poorly understood, but it's a system that evolved over millions of years. We should expect more from something we ourselves d

Sure, human pattern recognition is poorly understood, but it's a system that evolved over millions of years. We should expect more from something we ourselves designed. The question of why we would choose a black box model over something interpretable that works equally or nearly as well still needs to be asked, especially if there is a misconception of black box models working better than interpretable models due to current trends and the hype cycle. > held legally accountable I think this misses the point. It is not about accountability but about getting the right results. The right question is where we need an interpretable model to eliminate biases or otherwise satisfy ethical requirements. Often you can't know whether a decision was ethical without knowing how it was reached. Would you accept a trial verdict given by AI? What about a lending decision, or a job promotion? If you need to justify a decision and not merely reach a decision, you need something interpretable.