# kaal:claim:5245185-021

**Claim.** Without feedback loops that continuously ingest data on AI behavior, regulatory efforts cannot efficiently address fraud or consumer harm as AI ubiquity amplifies those risks across decentralized networks.

**Type.** condition  **Support.** argued

**Holds when.**

- regulation of ubiquitous AI agents on decentralized networks

**Source quote.**

> Without feedback loops, regulatory efforts cannot efficiently address fraud or consumer harm as AI ubiquity amplifies these risks across decentralized networks.

**From.** Wulf A. Kaal, *How can we Best Monitor AI Agents* (2025), 6.2.1. Regulatory Oversight: Outpaced by AI Evolution, page 12

**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.** no-feedback-no-anticipation  (family: ai-oversight-and-alignment-gap)

**Topics.** institutional-design

**Keywords.** feedback-loops, anticipatory-regulation, fraud, consumer-protection

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