The Potential for Bias against Women in FINRA’s High Risk Rep Algorithm

The move toward data analytics applied to broker supervision might seem on face value to result in objective identification of “high risk” financial advisers. However, once the technical jargon is stripped away, algorithms are just opinions embedded in mathematics. Algorithms are created by humans and can reinforce human prejudices. Researchers have noted that big data … Continue reading The Potential for Bias against Women in FINRA’s High Risk Rep Algorithm