# kaal:claim:4941807-040

**Claim.** Treating each AI model as a post within the WDAG framework lets stakeholders build a comprehensive and visually intuitive map of how well that model aligns with the governance frameworks it is required to meet.

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

**Holds when.**

- where each AI model or development milestone is documented as a post with edges to relevant precedents

**Source quote.**

> By treating each AI model as a post within a WDAG framework, stakeholders can create a comprehensive, visually intuitive map of how well the AI aligns with required governance frameworks.

**From.** Wulf A. Kaal, *AI Governance Via Web3 Reputation System* (2024), AI Model Integration, page 34

**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

**Topics.** governance-design, ai-and-agents, law-and-legal-systems, compliance

**Keywords.** ai-model-governance, wdag, precedent-system, compliance-mapping, auditability

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