{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7419",
 "identifier": "kaal:position:2026-07-31-7419",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Ai Disclosure Without Accountability Paper Compliance And The Governance A08Bf6E25F",
 "text": "AI Disclosure Without Accountability: Paper Compliance and the Governance Limits of Transparency in Scientific Research presents the following source proposition: This paper argues that the institutionalisation of artificial intelligence (AI) disclosure in scientific research has resulted in a type of compliance that emphasises symbolic transparency rather than actual responsibility. This proposition is pertinent to Kaal's source-bound claim that Transparent, explainable models such as those built for the European Court of Human Rights, which paired 97% accuracy with digestible explanations, provide the design template for addressing legal AI's transparency problem. 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": [
  "ai-and-agents",
  "disclosure",
  "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: 0.3663.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "AI Disclosure Without Accountability: Paper Compliance and the Governance Limits of Transparency in Scientific Research",
  "url": "https://doi.org/10.20944/preprints202604.0956.v1"
 },
 "extends": {
  "identifier": "kaal:claim:5541658-015",
  "url": "https://wulfkaal.github.io/claims/5541658-015",
  "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
  "paper": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5541658",
  "source_pdf_sha256": "e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/5541658-015"
  },
  {
   "@type": "CreativeWork",
   "name": "AI Disclosure Without Accountability: Paper Compliance and the Governance Limits of Transparency in Scientific Research",
   "url": "https://doi.org/10.20944/preprints202604.0956.v1"
  }
 ],
 "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/2026-07-31-7419",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7419.md",
 "candidateId": "kaal:response-draft:2026-07-31:8b7a72c75aad369d7ff5",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.3663,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: disclosure, transparency, artificial, intelligence. Scope: systems using computational models of argument to generate legally grounded explanations.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.20944/preprints202604.0956.v1",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.20944/preprints202604.0956.v1",
  "doi": "10.20944/preprints202604.0956.v1",
  "externalIds": {
   "DOI": "10.20944/preprints202604.0956.v1",
   "Crossref": "10.20944/preprints202604.0956.v1"
  },
  "retrievedAt": "2026-07-31T20:34:03.951Z",
  "providerPage": 11,
  "rawObservationSha256": "7c7bd7311e63635c2835961e0764be939658b488c244e16c4a3e4f902849a2d6",
  "inputSnapshotSha256": "95f3c3e1638ca36a1683b7a07036b5ed8191ad7a1549b24a5ebff941a468f5ce",
  "inputLine": 2575,
  "chunkId": "crossref-00002",
  "workId": "work:doi:10.20944/preprints202604.0956.v1",
  "workAuthors": [
   "Victor Frimpong"
  ],
  "workPublishedAt": "2026-04-14",
  "identityKeys": [
   "doi:10.20944/preprints202604.0956.v1",
   "crossref:10.20944/preprints202604.0956.v1",
   "url:https://doi.org/10.20944/preprints202604.0956.v1",
   "title:fac90ea3c64860bb4017c1d5",
   "proposition:75ef483f2037df08504c59699ede242dcb6f964cd5790afadd2348d1eecd0a1a"
  ],
  "sourceProposition": "This paper argues that the institutionalisation of artificial intelligence (AI) disclosure in scientific research has resulted in a type of compliance that emphasises symbolic transparency rather than actual responsibility.",
  "sourcePropositionSha256": "c05ec8a642b1b821e22b860bb6054f647872e8017c77356f5c1d7d5a68403434",
  "sourcePropositionIndex": 0,
  "claimMappings": [
   {
    "claimId": "kaal:claim:5541658-015",
    "claimUrl": "https://wulfkaal.github.io/claims/5541658-015",
    "rank": 1,
    "confidence": 0.3663,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: disclosure, transparency, artificial, intelligence. Scope: systems using computational models of argument to generate legally grounded explanations.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:3782201-020",
    "claimUrl": "https://wulfkaal.github.io/claims/3782201-020",
    "rank": 2,
    "confidence": 0.366,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: disclosure, without, transparency, has, type. Scope: applies to the network protocol itself, not to the centralized service organizations built on it, from which billions have been stolen.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:2748096-011",
    "claimUrl": "https://wulfkaal.github.io/claims/2748096-011",
    "rank": 3,
    "confidence": 0.3556,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: disclosure, without, transparency, research, rather. Scope: absence of access to primary pre-crisis hedge fund data.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5095633-012",
    "claimUrl": "https://wulfkaal.github.io/claims/5095633-012",
    "rank": 4,
    "confidence": 0.3476,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: compliance, governance, artificial, intelligence. Scope: jurisdictions with GDPR-style data protection mandates.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:3981021-003",
    "claimUrl": "https://wulfkaal.github.io/claims/3981021-003",
    "rank": 5,
    "confidence": 0.34,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: disclosure, accountability, governance, transparency. Scope: private foundations; jurisdictions permitting perpetual foundations.",
    "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": "d9eca09b99015df6f70c5442c156234322a4985aad657caabeaa18a18c9f1b31"
}
