{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-5736",
 "identifier": "kaal:position:2026-07-31-5736",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Legacy Artificial Intelligence And Eu Insider Regulation Ded24Fc88D",
 "text": "Artificial intelligence and EU insider regulation should be assessed against Kaal's source-bound position that AI models applied to the European Court of Human Rights have achieved 97% accuracy in predicting case outcomes under Article 6, which the authors treat as evidence of their potential as judicial decision support tools rather than as replacements for judges. The external source's verified abstract presents this proposition: Abstract The increasing use of artificial intelligence (AI) and big data in capital markets presents significant challenges for the Market Abuse Regulation (MAR), which was originally designed with human decision-making and conventional algorithmic systems in mind. The defensible response is a qualification: the source is pertinent to the Kaal position, but agreement, extension, contradiction, and scope should not be strengthened beyond the retrieved evidence.",
 "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": "qualification",
 "keywords": [
  "institutional-design",
  "historical-response",
  "scholarly-literature"
 ],
 "scope_conditions": [
  "The response remains limited to the source proposition and evidence retrieved in this reconciliation cycle.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: legacy curated mapping review.",
  "Mapping confidence is intentionally unscored.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Artificial intelligence and EU insider regulation",
  "url": "https://doi.org/10.1093/cmlj/kmag017"
 },
 "extends": {
  "identifier": "kaal:claim:5541658-005",
  "url": "https://wulfkaal.github.io/claims/5541658-005",
  "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/5541658-005"
  },
  {
   "@type": "CreativeWork",
   "name": "Artificial intelligence and EU insider regulation",
   "url": "https://doi.org/10.1093/cmlj/kmag017"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:legacy-reconciliation-0001",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#frozen-batch-heading",
 "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/2026-07-31-5736",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-5736.md",
 "candidateId": "kaal:response-draft:2026-07-31:99754c93a8aeb2c6ab42",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "legacy curated mapping review",
 "mappingConfidence": null,
 "mappingAmbiguous": true,
 "mappingMethod": "legacy corpus-wide candidate binding",
 "mappingWhyRelevant": "The source proposition is pertinent to the scope of kaal:claim:5541658-005; final semantic strength requires human review.",
 "sourceProvenance": {
  "source": "Crossref REST API",
  "endpoint": "https://api.crossref.org/works/10.1093/cmlj/kmag017",
  "status": 200,
  "legacyEvidenceLevel": "metadata reviewed",
  "sourceLayer": "scholarly work",
  "provider": "Crossref",
  "providerId": "10.1093/cmlj/kmag017",
  "sourceIdentityKey": "doi:10.1093/cmlj/kmag017",
  "retrievedAt": "2026-07-31T17:48:23.823Z",
  "sourceMetadataSha256": "143e3feaf99e88c383c41862562676d6a0ea1099d94331f7a3036d8b17fc1fc1",
  "sourceContentSha256": "51c9be48a09690153f9e287c8636f8816f79ed36f33e039c63d45a25edc6f79e",
  "sourceProposition": "Abstract The increasing use of artificial intelligence (AI) and big data in capital markets presents significant challenges for the Market Abuse Regulation (MAR), which was originally designed with human decision-making and conventional algorithmic systems in mind."
 },
 "userAffirmation": "I affirm batch kaal-review:2026-07-31:legacy-reconciliation-0001, SHA-256 1f3dcd62332f12880cc3432ab8f2df0ba0b52bbf3db528ab15bff9b620296e35, as written and authorize publication of all 52 response claims on my canonical property, preserving their evidence levels, ambiguity labels, and the unchanged 5,033 scholarly claims.",
 "sha256": "9a7828d5201ebe175933509234b40ae2e6a3ab3ffc24e1a1632f1bb7a4d6c93c"
}