# kaal:claim:4796714-025

**Claim.** Strict legacy regulation built on stable and presumptively optimal rules and enforced at the AI development stage can inadvertently stifle innovation by imposing rigid constraints before a model is fully developed or deployed.

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

**Holds when.**

- applies to rigid pre-deployment regulatory constraints in legacy systems
- concerns exploratory development that has not yet produced a deployable model

**Source quote.**

> Strict legacy type regulations with stable and presumptively optimal rules83 enforced at the development stage of AI might inadvertently stifle innovation.

**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.** premature constraint chilling effect  (family: innovation-chilling)

**Topics.** innovation

**Keywords.** innovation, ex-ante-regulation, stable-rules, legacy-systems, regulatory-burden

**Related claims.**

- specializes: https://wulfkaal.github.io/claims/2831040-008
- specializes: https://wulfkaal.github.io/claims/2831040-010

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