AI has a bias problem. This is how we can solve it

The flaw in our approach lies in the ways we are developing AI systems for commercial application. We are creating algorithms that are used to detect patterns in data, and we often use a top-down approach. As a recent WIRED cover story noted, our AI systems have become increasingly dependent on deep learning, a type of machine learning technique that has evolved over the past decade. The central challenge of deep learning when applied to pattern recognition is that it is beginning to reach a plateau of usefulness for certain classes of problems. Such models are entirely data-dependent with no evidentiary logic presented as part of their output - which means the AI is not able to intuit to solve certain problems or explain how it reached a conclusion.