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 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Ai Governance Qa Integration Framework Integrated Framework For Complian 96Bb1B44D5",
 "text": "AI Governance & QA Integration Framework. Integrated Framework for Compliance, QA Software, ISO Standards, AI Governance and LLM-based AI Agents presents the following source proposition: It is designed to be technology-agnostic, sector-independent, and applicable to any organisation deploying or planning to deploy LLM-based capabilities in production environments. This proposition is pertinent to Kaal's source-bound claim that 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. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3511.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://doi.org/10.5281/zenodo.20289046"
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  "url": "https://wulfkaal.github.io/claims/4855607-024",
  "citation": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607",
  "paper": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance",
  "authors": [
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  "year": "2024",
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    "whyRelevant": "Shared high-information concepts: governance, compliance, standards, quality, assurance. Scope: applies to code reviews audited by the CRDAO community.",
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    "whyRelevant": "Shared high-information concepts: governance, compliance, standards, applicable, corporate. Scope: off-label marketing cases; boards subject to CIA certification requirements.",
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