kaal:claim:5245185-026

Centralized AI structures for monitoring AI agents create a self referential loop that is prone to systemic biases and blind spots, and their rigidity prevents adaptation to the dynamic nature of AI.

Centralized AI structures for AI agent monitoring create a self-referential loop prone to systemic biases and blind spots, while their rigidity fails to adapt to AI's dynamic nature.

Wulf A. Kaal, How can we Best Monitor AI Agents (2025), 6.3. Fallacy of Centralized AI Monitoring AI Agent 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

• centralized AI systems used to supervise AI agents

failuresupport: arguedfailure: self-referential-monitoring-loopfamily: ai-oversight-and-alignment-gapdecentralizationai-and-agents

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• Extension: Cloning, resource exchange and relation adaptation: a self-organising multi-agent framework