Machine learning hits explainability barrier

Banks hire AI industry experts in face of growing regulatory scrutiny

Show your working: banks are increasingly hitting an explainability barrier with more complex ML techniques

Mark Long, nbillustration.co.uk

An expert in artificial intelligence at a large US bank is asking a question that would seem vapid coming from anyone else: what makes a cat a cat?

She doesn’t see it that way. In fact, she believes this question – and others like it – can unlock a brighter future for the human race.

The back story goes a little like this: machine learning algorithms can be taught to classify images, but unless those using the algorithm are sure it is classifying the pictures in a sensible way, then they are