Researchers were about to solve AI’s black box problem, then the lawyers got involved

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AI has a “black box” problem. We cram data in one side of a machine learning system and we get results out the other, but we’re often unsure what happens in the middle. Researchers and developers nearly had the issue licked, with “explainable algorithms” and “transparent AI” trending over the past few years. Then came the lawyers. What’s a black box? Black box AI isn’t as complex as some experts make it out to be. Imagine you have 1,000,000 different spices and 1,000,000 different herbs and you only have a couple of hours to crack Kentucky Fried Chicken’s secret recipe. You’re…
This story continues at The Next WebOriginal Article

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