# kaal:claim:4941807-033

**Claim.** Under the proposed model the input parameters and learning data of AI systems are themselves governed by expert community consensus, through submission of proposals to the Forum and review by Validation Pool, so that only vetted and consensus backed data and parameters enter AI development.

**Type.** mechanism  **Support.** argued

**Holds when.**

- where training data and parameters are submitted as forum proposals subject to validation pool review

**Source quote.**

> the input parameters and learning data for AI systems can be governed through expert community consensus. This process involves submitting proposals to the Forum and undergoing Validation Pool review,

**From.** Wulf A. Kaal, *AI Governance Via Web3 Reputation System* (2024), Governance Mechanism, page 28

**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, education-and-practice, consensus-and-security, dao

**Keywords.** training-data-governance, validation-pool, expert-consensus, ex-ante-governance, dao

**Related claims.**

- restates: https://wulfkaal.github.io/claims/4796714-034

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