Pattern-based AI gives data scientists new tools for helping interpret and understand their data and the predictions being made. Think of our pattern-based AI as an X-ray of your ML model – Allowing you to see the inner workings of its predictions.
With Natural Intelligence, explanations are inherent to our pattern-based model because the data is preserved all the way from the input of the system to the output prediction.
AI can deliver amazing answers to seemingly insolvable problems, but it’s often a black box. You can’t see the “why” behind the answers. Here’s why explainability in AI matters.