kaal:claim:4796714-001

Traditional AI governance frameworks fail because they rely on static, predefined rules that cannot adapt quickly enough to the pace of AI development or to the nuanced challenges AI presents.

Traditional governance approaches often rely on static, predefined rules that may not adapt quickly enough to the pace of AI development or the nuanced challenges it presents.

Wulf A. Kaal, AI Governance (2024), Abstract, p. 1
https://ssrn.com/abstract=4796714 · source PDF

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

• applies to conventional rule based governance regimes
• holds where AI capability changes faster than the rule revision cycle

failuresupport: assertedfailure: static rule obsolescencefamily: rule-obsolescence-and-ossificationgovernance-designai-and-agentsdynamic-regulation

• generalizes kaal:claim:5245185-023 Treating DAOs as monitoring entities assumes a static governance model that cannot keep pace with the rapid pr...

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