# kaal:claim:4855607-025

**Claim.** Traditional governance models lack the real time responsiveness to community sentiment that a decentralized WDAG system supplies, and this latency, not an absence of rules, is what leaves conventional AI governance out of step with community values.

**Type.** failure  **Support.** argued

**Holds when.**

- comparison of centralized governance models against decentralized, continuously updated ones

**Source quote.**

> The WDAG system's decentralized nature, which captures and integrates community sentiment and ethical considerations, provides a real-time responsiveness that is often lacking in traditional governance models.

**From.** Wulf A. Kaal, *How AI Models are Optimized Through Web3 Governance* (2024), Web3 Governance for AI Model Optimization, page 37

**Cite as.** Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

**Verify.** sha256 of source PDF `eb0b3e62374b45a8fa888c6bde9725e606bcb46cf4b5e74a6e851d9f25099113` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20How%20AI%20Models%20are%20Optimized%20Through%20Web3%20Governance.pdf

**Failure mode.** Governance latency in traditional models  (family: governance-participation-collapse)

**Topics.** governance-design, decentralization

**Keywords.** governance-latency, community-sentiment, wdag, centralized-governance, responsiveness

**Related claims.**

- restated_by: https://wulfkaal.github.io/claims/4941807-036
- restated_by: https://wulfkaal.github.io/claims/4957318-032

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