# kaal:claim:4941807-024

**Claim.** Enforcing AI regulation in a federated model is complex because different entities may interpret the same regulations differently and may show differing levels of commitment to compliance.

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

**Holds when.**

- in decentralized settings with multiple independent compliance actors

**Source quote.**

> In a federated model, enforcing regulations and policies related to AI can be complex. In a decentralized setting, different entities may have varying interpretations of regulations or differing levels of commitment to compliance.

**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.** divergent compliance interpretation  (family: harmonization-and-standardization-failure)

**Topics.** compliance, governance-design

**Keywords.** enforcement, federated-governance, compliance, regulatory-interpretation, oversight

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