# kaal:claim:4796714-026

**Claim.** Legacy ex-ante regulatory attempts fail because they assume a static technological landscape, while AI development is dynamic and requires rules that are adaptable and responsive.

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

**Holds when.**

- applies to legacy ex-ante and ex-post rulemaking
- holds under exponential rates of technical change

**Source quote.**

> The exponential pace at which AI technology evolves makes it difficult to establish legacy system ex-post regulations that remain relevant over time. In turn, legacy ex-ante regulatory attempts assume a static technological landscape.

**From.** Wulf A. Kaal, *AI Governance* (2024), Challenges, page 31

**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 landscape assumption  (family: regulatory-lag)

**Topics.** dynamic-regulation

**Keywords.** ex-ante-regulation, static-assumption, adaptive-regulation, exponential-technology

**Related claims.**

- extended_by: https://wulfkaal.github.io/claims/4941807-004

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