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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. Vendors in the past two years have increasingly promoted software that can emulate aspects of human cognition to help reduce false positives in transaction-monitoring systems and spot patterns of potentially suspicious activity that compliance officers cannot. Most feature "machine learning" software that proponents claim uses easily auditable methods to process and review banking data. But bankers interviewed by ACAMS moneylaundering.com in June questioned...