# kaal:claim:4796714-006

**Claim.** Web3 data attestation supports a governance model that assigns liability for AI misuse to identifiable individuals rather than distributing the burden across the whole community, which is what makes it a workable answer to AI related ethical dilemmas.

**Type.** design  **Support.** argued

**Holds when.**

- requires cryptographic data attestation and verifiable identity
- applies to liability arising from AI misuse and uploaded content

**Source quote.**

> By ensuring accountability at the individual level, rather than burdening the entire community, this proposed model for AI governance within Web3 offers a promising avenue to address ethical dilemmas associated with AI applications.

**From.** Wulf A. Kaal, *AI Governance* (2024), Introduction, page 4

**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

**Topics.** law-and-legal-systems

**Keywords.** data-attestation, liability, accountability, web3, self-sovereign-identity

**Related claims.**

- restated_by: https://wulfkaal.github.io/claims/4941807-006

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