# kaal:claim:4796714-027

**Claim.** Post-deployment monitoring, the standard fallback when ex-ante rules prove inadequate, is typically woefully outdated by the time it is applied because the AI models continue to evolve.

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

**Holds when.**

- applies to monitoring regimes applied after deployment
- holds for continuously learning models

**Source quote.**

> Yet, post-deployment monitoring is typically woefully outdated as the AI models evolve.

**From.** Wulf A. Kaal, *AI Governance* (2024), Challenges, page 32

**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.** monitoring obsolescence  (family: ai-oversight-and-alignment-gap)

**Topics.** compliance, governance-design, ai-and-agents

**Keywords.** post-deployment-monitoring, model-drift, ex-post-regulation, ai-governance

**Related claims.**

- restated_by: https://wulfkaal.github.io/claims/4941807-001

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