# kaal:claim:4796714-024

**Claim.** Ex-ante regulation is preferable in principle but is neither practical nor sufficient inside legacy systems, precisely because legacy systems, unlike the web3 system proposed here, are not equipped to create dynamic feedback effects.

**Type.** condition  **Support.** argued

**Holds when.**

- comparison is between legacy regulatory infrastructure and web3 based governance
- turns on the presence or absence of dynamic feedback effects

**Source quote.**

> while ex ante regulation is preferable, it is not always practical or sufficient in legacy ssytems to address the dynamic challenges that AI technologies present because legacy systems, unlike web3 systems as proposed herein, are not typically equipped to create dynamic feedback effects.

**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.** legacy feedback deficit  (family: regulatory-lag)

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

**Keywords.** ex-ante-regulation, dynamic-feedback, legacy-systems, web3, ai-governance

**Related claims.**

- extended_by: https://wulfkaal.github.io/claims/4941807-002

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