Financial institutions are slowly supplementing their anti-money laundering programs with machine-learning and other artificial intelligence, even as compliance officers question the short-term costs of the technology and the regulatory and legal risks it allegedly poses, say sources.
Fear of regulatory disapproval and data integrity concerns have kept some U.S. financial institutions from more fully incorporating machine learning and other artificial intelligence-based monitoring tools into their anti-money laundering programs, say sources.