对AI在实时反洗钱交易监控中的看法?
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好奇是否有人成功地将AI整合到超越基本基于规则的系统之外,用于实时反洗钱标记,特别是对于高交易量的支付流。在误报与实际威胁检测方面,主要障碍是什么?
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由原文自动翻译 · 阅读原文 (English)
好奇是否有人成功地将AI整合到超越基本基于规则的系统之外,用于实时反洗钱标记,特别是对于高交易量的支付流。在误报与实际威胁检测方面,主要障碍是什么?
We've experimented with some unsupervised learning models for anomaly detection, but the regulatory burden of explaining why something was flagged makes it challenging to implement at scale. False positives are still a significant drain on resources.
We've experimented with more advanced AI for real-time AML, and the biggest hurdle has definitely been tuning the models to reduce false positives without missing critical anomalies. It's a constant balancing act between sensitivity and specificity, particularly with the sheer volume of transactions you're talking about.
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