# kaal:claim:4941807-037

**Claim.** Because the WDAG continuously monitors and adjusts to evolving ethical and legal standards, it delivers preventive AI governance, in contrast to reactive models that address problems only after they have already arisen.

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

**Holds when.**

- where monitoring and adjustment of standards is continuous rather than periodic

**Source quote.**

> By continuously monitoring and adjusting to evolving ethical and legal standards, WDAG provides a preventive approach to AI governance. This contrasts with reactive models that address issues only after they have arisen.

**From.** Wulf A. Kaal, *AI Governance Via Web3 Reputation System* (2024), Dynamic Real-Time Governance, page 33

**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

**Keywords.** preventive-governance, wdag, reactive-regulation, ai-governance, anticipatory-governance

**Related claims.**

- extends: https://wulfkaal.github.io/claims/4796714-002

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