{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7559",
 "identifier": "kaal:position:2026-07-31-7559",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Ai Governance Framework For Large Language Models In Healthcare Ensuring 4Db7B42Ab8",
 "text": "AI Governance Framework for Large Language Models in Healthcare: Ensuring Trust, Privacy, Security and Regulatory Compliance presents the following source proposition: Yet, governance frameworks remain underdeveloped compared to traditional AI systems. This proposition is pertinent to Kaal's source-bound claim that Natural language processing driven compliance assumes static legal frameworks, so novel transaction types generated by evolving AI agents outstrip predefined rules and go undetected by centralized systems that lack external validation. 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": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "extension",
 "keywords": [
  "compliance",
  "historical-response",
  "scholarly-literature",
  "crossref"
 ],
 "scope_conditions": [
  "The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4689.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "AI Governance Framework for Large Language Models in Healthcare: Ensuring Trust, Privacy, Security and Regulatory Compliance",
  "url": "https://doi.org/10.2139/ssrn.7009698"
 },
 "extends": {
  "identifier": "kaal:claim:5245185-030",
  "url": "https://wulfkaal.github.io/claims/5245185-030",
  "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
  "paper": "Wulf A. Kaal, How can we Best Monitor AI Agents",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5245185",
  "source_pdf_sha256": "4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/5245185-030"
  },
  {
   "@type": "CreativeWork",
   "name": "AI Governance Framework for Large Language Models in Healthcare: Ensuring Trust, Privacy, Security and Regulatory Compliance",
   "url": "https://doi.org/10.2139/ssrn.7009698"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0009",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
 "isPartOf": {
  "@id": "https://wulfkaal.github.io/positions/index.json"
 },
 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-7559",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7559.md",
 "candidateId": "kaal:response-draft:2026-07-31:9ac980992400b6e5f820",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.4689,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: language, compliance, yet, frameworks. Scope: NLP based rule application to transaction data; novel transaction types produced by agent evolution.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.2139/ssrn.7009698",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.2139/ssrn.7009698",
  "doi": "10.2139/ssrn.7009698",
  "externalIds": {
   "DOI": "10.2139/ssrn.7009698",
   "Crossref": "10.2139/ssrn.7009698"
  },
  "retrievedAt": "2026-07-31T20:34:05.849Z",
  "providerPage": 16,
  "rawObservationSha256": "cad489e13dd61382edebdd16f0c6b82b43f16a6318f2799faaf55516d89f2243",
  "inputSnapshotSha256": "95f3c3e1638ca36a1683b7a07036b5ed8191ad7a1549b24a5ebff941a468f5ce",
  "inputLine": 3856,
  "chunkId": "crossref-00007",
  "workId": "work:doi:10.2139/ssrn.7009698",
  "workAuthors": [
   "Mudassir Ali Mohammed",
   "Dr Yohannes Tadesse"
  ],
  "workPublishedAt": "2026-01-01",
  "identityKeys": [
   "doi:10.2139/ssrn.7009698",
   "crossref:10.2139/ssrn.7009698",
   "url:https://doi.org/10.2139/ssrn.7009698",
   "title:50466ef1ee6c71cf98644ebf",
   "proposition:4df23fbddfb4fe764c56be9cdf5ca73d726fba381fb37af6f6668b8bbadd0aa5"
  ],
  "sourceProposition": "Yet, governance frameworks remain underdeveloped compared to traditional AI systems.",
  "sourcePropositionSha256": "7566a3c471b8fb397102d37cf23e98577920ce06a97218e8e638662b36b00084",
  "sourcePropositionIndex": 1,
  "claimMappings": [
   {
    "claimId": "kaal:claim:5245185-030",
    "claimUrl": "https://wulfkaal.github.io/claims/5245185-030",
    "rank": 1,
    "confidence": 0.4689,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: language, compliance, yet, frameworks. Scope: NLP based rule application to transaction data; novel transaction types produced by agent evolution.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:4941807-019",
    "claimUrl": "https://wulfkaal.github.io/claims/4941807-019",
    "rank": 2,
    "confidence": 0.4473,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, privacy, security, regulatory, compliance. Scope: where compliance rules can be expressed as predefined, codified conditions.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5245185-009",
    "claimUrl": "https://wulfkaal.github.io/claims/5245185-009",
    "rank": 3,
    "confidence": 0.4396,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: privacy, security, compliance, remain. Scope: blockchain integrated AI systems without rigorous monitoring.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:2998033-005",
    "claimUrl": "https://wulfkaal.github.io/claims/2998033-005",
    "rank": 4,
    "confidence": 0.4305,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: privacy, security, compliance, yet. Scope: applies where consumer protection or data protection rules impose jurisdiction specific storage requirements.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5245185-018",
    "claimUrl": "https://wulfkaal.github.io/claims/5245185-018",
    "rank": 5,
    "confidence": 0.4249,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: privacy, security, compliance, traditional. Scope: forensic transaction analysis; privacy preserving blockchains.",
    "ambiguous": true
   }
  ]
 },
 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0009, SHA-256 b79e655db33b69d4e6de8a205792c1e02d068eea4880d69cd6faeb884041abdf, as written and authorize publication of all 250 response claims on my canonical property, preserving their evidence levels, ambiguity labels, provenance, and the unchanged 5,033 scholarly claims.",
 "sha256": "53bf080c98f1724796be04585a78bedcba6da60947b1ed66cc12357d335aa8a2"
}
