- Chief Compliance Officer and VP of Legal Affairs, Arrow Electronics
By 
Joe Mont2018-12-05T15:30:00
Federal bank regulators are encouraging banks to use artificial intelligence and other emerging technologies to bolster their AML compliance programs. In doing so, new guidance addresses an evolving liability and enforcement posture.
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The Basel Committee on Banking Supervision recently issued an updated version of its guidelines on sound management of risks related to anti-money laundering and combating the financing of terrorism.
USAA Federal Savings Bank has been hit with its third cease and desist order from the Treasury Department’s Office of the Comptroller of the Currency in the past five years for failing to correct unsafe and unsound banking practices.
Any product that uses AI needs to be safety assessed for its entire lifespan under new rules that went into effect recently across the EU. Experts warned companies using AI to tailor products could be classed as “manufacturers” and face the same duty of care as developed.
Data governance has become a key concern for companies, especially when the EU AI Act and General Data Protection Regulation have put a premium on handling data responsibly and ensuring that artificial intelligence does not cause harm.
The era of artificial intelligence adoption is testing the old ways of doing compliance, underscoring the need for continuous monitoring. Compliance isn’t a one-and-done activity, but sometimes organizational incentives and goals fail to prioritize the importance of this.
While companies are exploring and building artificial intelligence technology, lawmakers and regulators are trying to identify what ground rules they need to set. These guardrails are what companies and governments alike believe are essential parts of ensuring safe and responsible use of the technology.
