In this 2018 article written by Ben Dickson for PCMag, he explains the difference between conventional programming and deep learning, as well as discuss how these differences create the AI black box problem. Despite the existence of several pathways in creating explainable AI, Dickson shows that the benefits of deep learning can only be fully appreciated when the field has gone beyond troubleshooting to fixing errors even before it manifests.
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