# kaal:claim:4796714-020

**Claim.** The gap between regulators' technical understanding and the state of the art in AI drives rules to one of two failure states: too vague to be enforceable, or so prescriptive that they suppress creative and beneficial uses of AI.

**Type.** mechanism  **Support.** argued

**Holds when.**

- applies where regulators lack current technical expertise
- holds for fast moving technical domains

**Source quote.**

> There is often a gap between the regulators' technical understanding and the state of the art in AI technology. This gap can lead to regulations that are either too vague to be enforceable or overly prescriptive, stifling creative and beneficial uses of AI.

**From.** Wulf A. Kaal, *AI Governance* (2024), Challenges, page 30

**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.** regulator expertise gap  (family: supervisory-capacity-gap)

**Topics.** institutional-design

**Keywords.** regulatory-capacity, expertise-gap, enforceability, overregulation

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