# kaal:claim:4796714-040

**Claim.** The hybrid model falls short of full community co-governance because it relies on a select group of experts for data validation and therefore may not capture the diverse perspectives and expertise of the broader community.

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

**Holds when.**

- applies to the hybrid of community governance and decentralized data validation
- concerns representativeness of the validating group

**Source quote.**

> This is a significant step beyond the hybrid approach, which, while incorporating community input, primarily relies on a select group of experts for data validation and may not fully capture the diverse perspectives and expertise of a broader community.

**From.** Wulf A. Kaal, *AI Governance* (2024), Model 3: Ex-Ante Community AI Governance, page 53

**Cite as.** Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714

**Verify.** sha256 of source PDF `59fa63bae179e8f9b6b8efbdf90cee28400276512a1b04f9f579a48641305c93` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20AI%20Governance.pdf

**Failure mode.** expert panel narrowness  (family: governance-participation-collapse)

**Topics.** governance-design

**Keywords.** hybrid-model, expert-validation, representativeness, community-governance

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