Understanding the AI black box

This article may have been written in 2018, but we are nowhere near resolving the explainability problem in even the simplest of AI. Why then do we allow countries and companies to experiment towards artificial general intelligence when the most basic of concerns has not yet been resolved?

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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