Bring light into the black box: Making AI decisions explainable

In my previous blog post, I introduced the "four pillars of trust" for automated decisions. The key takeaway was that explainability and transparency refer to the entire analytical process. Here, too, the analytical platform must guarantee transparency. The good news is that algorithms are not that dark. Although we cannot derive easily understandable sets of rules, we can – regardless of the concrete procedure – investigate the decisive factors in the algorithmic decision.