# kaal:claim:5245185-038

**Claim.** A WDAG based on chain forum combined with validation pools enables continuous updates to governance rules through expert community consensus that incorporates real time AI behavior data, which is what allows oversight to track self optimizing algorithms.

**Type.** design  **Support.** argued

**Holds when.**

- DAO centric web3 governance with on chain forum and validation pools

**Source quote.**

> The WDAG structure, with its on-chain forum and validation pools, enables continuous updates to governance rules through expert community consensus, incorporating real-time AI behavior data.

**From.** Wulf A. Kaal, *How can we Best Monitor AI Agents* (2025), 7.8. Regulatory Oversight: Adapting to AI Evolution with Feedback Loops, page 16

**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

**Topics.** governance-design

**Keywords.** wdag, feedback-loops, governance-updates, regulatory-adaptation

**Related claims.**

- specializes: https://wulfkaal.github.io/claims/5095633-039

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