What is Explainability in Deep Learning?

2 min read

One of the most fascinating and contentious areas of artificial intelligence research right now, which you may not have heard of, is deep learning explainability — the ability of an algorithm or model to provide human-comprehensible explanations for its decision-making processes. Explainability is especially important in the context of deep learning because deep neural networks frequently function as black boxes, making decisions without revealing how they came to those decisions. If, by some miracle, you haven’t yet heard about deep learning, let’s take a moment to talk about what deep learning actually is before we get into the specifics of its explainability…....

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Stefan Pircalabu I am a freelancer passionate about artificial intelligence, machine learning, and especially deep learning. I like writing about AI, psychology, gaming, fitness, and art.

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