# kaal:claim:4796714-002

**Claim.** Conventional governance methods that are reactive or fixed to ex-post solutions are insufficient for governing technologies whose behavior changes continuously after deployment.

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

**Holds when.**

- applies to ex-post regulatory regimes
- holds for AI systems that continue to learn after release

**Source quote.**

> These conventional methods, largely reactive or fixed to ex-post solutions, are proving insufficient for the dynamic nature of AI technologies.

**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.** reactive governance insufficiency  (family: ai-oversight-and-alignment-gap)

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

**Keywords.** ex-post-regulation, reactive-governance, ai-governance, adaptive-regulation

**Related claims.**

- extended_by: https://wulfkaal.github.io/claims/4941807-002
- extended_by: https://wulfkaal.github.io/claims/4941807-037

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