Algorithmic bias represents one of the most economically significant risks in enterprise AI deployment, yet its true costs remain chronically underestimated in project planning. This article presents a comprehensive economic analysis of bias-related costs spanning regulatory penalties, legal liability, remediation expenses, and the often-catastrophic impact of reputational damage.
Oleh Ivchenko (Fri,) studied this question.