kaal:claim:4796714-025

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.

Source quote, verbatim

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, p. 31
https://ssrn.com/abstract=4796714 · source PDF

Cite as

Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714

Holds when

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

Classification

failuresupport: arguedfailure: premature constraint chilling effectfamily: innovation-chillinginnovation

Related claims

specializes kaal:claim:2831040-008 Rulemakers rely almost exclusively on stable and presumptively optimal rules meant to be permanent solutions, ...
specializes kaal:claim:2831040-010 An existing regulatory infrastructure built on stable and presumptively optimal rules is largely incapable of ...

Verify

The quote above is an exact substring of the source PDF, whose sha256 is 59fa63bae179e8f9b6b8efbdf90cee28400276512a1b04f9f579a48641305c93. Extraction method: pdf-text-layer.
Attestation record: colloquium/attestations/7ca1cf2594347fc9...json
Verify the binding yourself: curl -s https://wulfkaal.github.io/claims/4796714-025.md | sha256sum