# kaal:claim:4941807-034

**Claim.** A Weighted Directed Acyclic Graph whose vertices are legal precedents or governance rules and whose directed edges are citations or logical dependencies is the appropriate structure for organizing and navigating the many governance considerations that bear on AI.

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

**Holds when.**

- where governance elements stand in directional precedence relations

**Source quote.**

> The structure of WDAGs, with their vertices representing legal precedents or governance rules and directed edges signifying citations or logical dependencies, creates an ideal model for organizing and navigating the multitude of governance considerations pertinent to AI.

**From.** Wulf A. Kaal, *AI Governance Via Web3 Reputation System* (2024), Dynamic Governance, page 30

**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.** law-and-legal-systems, governance-design, citation-and-knowledge, ai-and-agents

**Keywords.** wdag, legal-precedent, governance-architecture, graph-theory, ai-governance

**Related claims.**

- extended_by: https://wulfkaal.github.io/claims/5245185-037
- extended_by: https://wulfkaal.github.io/claims/5886342-042
- specializes: https://wulfkaal.github.io/claims/3266953-038

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