Explainability and Auditability in ML: Definitions, Techniques, and Tools

Imagine that you have to present your newly built facial recognition feature to the technical heads of a SaaS product. The presentation goes relatively well until the CTO asks you “so what exactly goes on inside?” and all you can say is “nobody knows, it’s a black box”.  Pretty soon, other stakeholders would start to … Continue reading Explainability and Auditability in ML: Definitions, Techniques, and Tools