1 year ago

If you’ve ever gotten a letter from a bank that explained how different financial issues influenced a credit application, you’ve seen explainable AI at work — a computer used math and a set of complex formulas to calculate a score and determine whether to approve or deny your application. Similarly, explainable AI shows humans how it arrived at a decision by evaluating different inputs in its calculations. While that might sound obscure or only relevant to the most hardcore data people, explainable AI brings significant business advantages that anyone interested in applying AI should consider. Explainable AI also offers a window into AI workings and builds trust in its recommendations.

And, of course, even explainable AI is not useful if the features are based on poor-quality data.