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At a recent talk about the basics mechanics of neural networks, the topic of explainable AI came up.

Basically, no one can as of yet say for certain why a deep learning model makes the choices it does.

There’s a lot of work being done in this space and here’s a great round up of eight tools and frameworks for making AI more transparent.

Due to the ambiguity in Deep Learning solutions, there has been a lot of talk about how to make explainability inclusive of an ML pipeline. Explainable AI refers to methods and techniques in the application of artificial intelligence technology (AI) such that the results of the solution can be […]

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