kaal:claim:5245185-030

Natural language processing driven compliance assumes static legal frameworks, so novel transaction types generated by evolving AI agents outstrip predefined rules and go undetected by centralized systems that lack external validation.

NLP-driven compliance assumes static legal frameworks, yet AI agents' evolution introduces novel transaction types that outstrip predefined rules, undetected by centralized systems lacking external validation.

Wulf A. Kaal, How can we Best Monitor AI Agents (2025), 6.3.2. Insufficient Adaptability: Static Centralization vs. Dynamic Evolution, p. 13
https://ssrn.com/abstract=5245185 · source PDF

Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185

• NLP based rule application to transaction data
• novel transaction types produced by agent evolution

failuresupport: arguedfailure: nlp-static-rule-gapfamily: enforcement-gapcompliance

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