Are Your Algorithms Upholding Your Standards of Fairness?

The need to embrace fair AI has made it into executive suites and boardrooms alike. With recent high-profile AI bias scandals, companies have begun to realize that they need to rethink their AI strategy to include not just AI Fairness, but also Algorithmic Fairness more broadly as a fundamental tenet. But many companies struggle to form a clear definition of algorithmic fairness for their organization. Without a clear definition, well-meaning fairness initiatives languish in the realm of good intentions and never arrive at meaningful impact. But defining fairness is not as easy as it may seem. And the failure of the leaders to understand the fairness implications of AI or algorithms can have dire consequences.