Real World Hacks for Explainable AI

To comply with regulation is one of the last reasons someone should think about making artificial intelligence more explainable. Sure, there are benefits -- decisions made by a replicable, well-understood process are more trustworthy than those made by a black-box. Most importantly, it makes your business managers happy by providing a higher return on investments. The good news is that there are hacks your team can start working on right now to make things easier. One of the challenges in training an artificially intelligent model is that there is no way to make incremental improvements.