Artificial Intelligence is complex. It’s hard to understand how it works and which are the internal logic applied by a neural network: that’s why it is typically defined as a black box.
Explainable AI (XAI) refers to methods and techniques in AI application providing results and solution understandable by humans.
It is strictly fundamental to be aware of internal mechanism of a neural network applied to our business solutions for accounting, responsibility purpose and to prevent possible malfunctions, that can lead also unmanageable disasters.
Out of the box, our Artificial Intelligence algorithms have the native explainability layer in order to be compliant to the requirement of the European Union. (https://ec.europa.eu/jrc/en/publication/robustness-and-explainability-artificial-intelligence).
Our system is RESTful APIs based. It’s a standard adopted by many Software producers to provide applications to Third Parties.