By Stephen DeAngelis
Many analysts believe waiting to see if AI systems behave as expected isn’t sufficient to engender trust. They insist we need to understand what’s going on inside AI’s “black box” operations. For 
example, PwC analysts, Anand Rao and Euan Cameron, write, “If it is to drive business success, AI cannot hide in a black box.”[3] Jason Bloomberg (@TheEbizWizard), an IT industry analyst, agrees. He writes, “Despite its promise, the growing field of Artificial Intelligence is experiencing a variety of growing pains. In addition to the problem of bias, there is also the ‘black box’ problem: if people don’t know how AI comes up with its decisions, they won’t trust it.”[4]
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