# kaal:claim:5245185-001

**Claim.** Traditional centralized AI driven supervision of AI agent transactions is deficient because it delivers only limited transparency, is susceptible to bias, and concentrates risk in single points of failure.

**Type.** failure  **Support.** asserted

**Holds when.**

- centralized supervision of autonomous AI agent transaction execution

**Source quote.**

> Traditional, centralized AI-driven supervision methods are often hindered by limited transparency, susceptibility to bias, and the risk of single points of failure.

**From.** Wulf A. Kaal, *How can we Best Monitor AI Agents* (2025), 1. Introduction, page 1

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

**Verify.** sha256 of source PDF `4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202025%20-%20How%20can%20we%20Best%20Monitor%20AI%20Agents.pdf

**Failure mode.** centralized-supervision-deficiency  (family: supervisory-capacity-gap)

**Topics.** ai-and-agents, compliance, decentralization, disclosure

**Keywords.** ai-agent-monitoring, centralized-oversight, transparency, single-point-of-failure

**Related claims.**

- specializes: https://wulfkaal.github.io/claims/4855607-020
- specializes: https://wulfkaal.github.io/claims/4941807-014

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.