# kaal:claim:4796714-001

**Claim.** Traditional AI governance frameworks fail because they rely on static, predefined rules that cannot adapt quickly enough to the pace of AI development or to the nuanced challenges AI presents.

**Type.** failure  **Support.** asserted

**Holds when.**

- applies to conventional rule based governance regimes
- holds where AI capability changes faster than the rule revision cycle

**Source quote.**

> Traditional governance approaches often rely on static, predefined rules that may not adapt quickly enough to the pace of AI development or the nuanced challenges it presents.

**From.** Wulf A. Kaal, *AI Governance* (2024), Abstract, page 1

**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.** static rule obsolescence  (family: rule-obsolescence-and-ossification)

**Topics.** governance-design, ai-and-agents, dynamic-regulation

**Keywords.** ai-governance, static-rules, regulatory-lag, dynamic-regulation

**Related claims.**

- generalizes: https://wulfkaal.github.io/claims/5245185-023

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