# kaal:claim:4941807-021

**Claim.** In the federated model of AI governance many challenges cannot easily be decentralized, because distinct entities maintain their own AI systems and datasets, producing variation in standards, protocols, and formats that obstructs a unified governance framework.

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

**Holds when.**

- where separate organizations maintain independent AI systems and datasets

**Source quote.**

> In the federated model of AI governance, many challenges cannot be easily decentralized. For example, different entities or organizations maintain their own AI systems and datasets. This can lead to variations in standards, protocols, and formats used

**From.** Wulf A. Kaal, *AI Governance Via Web3 Reputation System* (2024), Adapting Decentralization of AI Governance to AI Models, page 24

**Cite as.** Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807

**Verify.** sha256 of source PDF `ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20AI%20Governance%20Via%20Web3%20Reputation%20System.pdf

**Failure mode.** standards fragmentation  (family: harmonization-and-standardization-failure)

**Topics.** governance-design, ai-and-agents, decentralization

**Keywords.** federated-governance, standardization, interoperability, ai-governance, decentralization

**Related claims.**

- restates: https://wulfkaal.github.io/claims/4796714-029

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