Deutsche Bank and Goldman Sachs are deploying an agent-based AI system with autonomous decision-making capabilities to proactively monitor traders for unusual behavior and communications. This move signifies a significant shift in compliance monitoring from traditional rule-based algorithms to AI-driven systems.
The AI system, developed by Deutsche Bank in collaboration with Google Cloud, is capable of independently analyzing trading orders and identifying abnormal signals in market fluctuations. It also scans communications across over 40 channels used by traders. A key advancement of this technology is its ability to go beyond passive judgments based on traditional rule-based algorithms, enabling dynamic risk assessments.
This new technology possesses contextual understanding, allowing it to identify potential violations in traders’ conversations, whereas traditional systems can only detect specific keywords. Furthermore, Deutsche Bank trains its model using existing call recordings and has implemented a manual review mechanism to minimize false positives. Legal experts have raised concerns about the risk of algorithmic bias, and the current system design emphasizes the importance of result interpretability and privacy protection.
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Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/deutsche-bank-and-goldman-sachs-implement-ai-systems-for-proactive-monitoring-of-trader-behavior/
