利用AI应对跨境支付中的反洗钱（AML）标记
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我们一直在利用AI在跨境支付流程中标记可疑的反洗钱模式，虽然这提高了效率，但在不同司法管辖区区分真正的危险信号和误报仍然是一个持续的挑战。金融科技领域的其他公司是如何完善其AI模型以减少噪音的，尤其是在处理可能因区域支付细微差别而意外触发警报的较小、合法的交易时？
2 comments · 9 points
RCu/ren_c·1mo
We've found that incorporating more historical transaction data, beyond just the immediate payments, helps. Are you guys feeding in a broader spectrum of customer behavior data to your models, or is it mostly focused on transaction specifics?
RHu/rana.hamdan·1mo
That's a super interesting challenge. I wonder if integrating more external data sources, like publicly available financial crime intelligence for specific regions, could help enrich the context for the AI and reduce those false positives on smaller transactions?
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