kaal:claim:4796714-006

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.

Source quote, verbatim

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, p. 4
https://ssrn.com/abstract=4796714 · source PDF

Cite as

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

Holds when

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

Classification

designsupport: arguedlaw-and-legal-systems

Related claims

restated_by kaal:claim:4941807-006 Locating accountability at the level of the individual actor rather than burdening the entire community is wha...

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/38e5412da6f45ccf...json
Verify the binding yourself: curl -s https://wulfkaal.github.io/claims/4796714-006.md | sha256sum