FinCEN Doesn’t Track Bias in SAR Filings. Should it?
In my upcoming article titled “Unmasking Bias in AML Algorithms” in the September/October edition of ACAMS Today, I explore the potential for bias (racial, ethnic, religious, gender, etc.) in Anti-Money Laundering algorithms used by financial institutions to detect potential suspicious activity. The most serious outcome of activity flagged by an AML algorithm results in more »