kaal:claim:4855607-024

WDAGs allow new regulatory and ethical standards to be integrated into existing AI systems without overhauling the entire model architecture, which is what makes rapid legal adaptation feasible in sectors such as public safety and healthcare.

Source quote, verbatim
In the case of federal AI learning models, for instance, WDAGs facilitate the integration of new regulatory and ethical standards into existing AI systems without the need to overhaul the entire model architecture.
From

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024), Web3 Governance for AI Model Optimization, p. 37
https://ssrn.com/abstract=4855607 · source PDF

Cite as

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

Holds when
Classification

mechanismsupport: arguedcomplianceai-and-agents

Verify

The quote above is an exact substring of the source PDF, whose sha256 is eb0b3e62374b45a8fa888c6bde9725e606bcb46cf4b5e74a6e851d9f25099113. Extraction method: pdf-text-layer.
Attestation record: colloquium/attestations/2274f3e80297e9c9...json
Verify the binding yourself: curl -s https://wulfkaal.github.io/claims/4855607-024.md | sha256sum