Would you trust an artificial intelligence algorithm that works eerily well, making accurate decisions 99.9% of the time, but is a mysterious black box? Every system fails every now and then, and when it does, we want explanations, especially when human lives are at stake. And a system that can’t be explained can’t be trusted. That is one of the problems the AI community faces as their creations become smarter and more capable of tackling complicated and critical tasks. In the past few years, explainable artificial intelligence has become a growing field of interest. Scientists and developers are deploying deep learning algorithms…
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