{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7884",
 "identifier": "kaal:position:2026-07-31-7884",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Artificial Intelligence Cyber Law And Advocate Accountability In India 2Aaa366E8D",
 "text": "Artificial Intelligence, Cyber Law, and Advocate Accountability in India presents the following source proposition: The study argues that India is moving toward a remuneration-based compliance model that prioritises innovation while preserving creator incentives, marking a significant shift in global AI-copyright governance.</span></p> This proposition is pertinent to Kaal's source-bound claim that The increasing use of non prosecution and deferred prosecution agreements has allowed federal prosecutors to expand their traditional role incrementally, marking a shift in prosecutorial culture away from an ex post focus on punishment toward an ex ante emphasis on compliance. 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",
  "governance-design",
  "corporate-governance",
  "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: 0.3813.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Artificial Intelligence, Cyber Law, and Advocate Accountability in India",
  "url": "https://doi.org/10.2139/ssrn.6294758"
 },
 "extends": {
  "identifier": "kaal:claim:2486570-001",
  "url": "https://wulfkaal.github.io/claims/2486570-001",
  "citation": "Wulf A. Kaal, Timothy Lacine, The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance Evidence from 1993-20 (2014). SSRN: https://ssrn.com/abstract=2486570",
  "paper": "Wulf A. Kaal, Timothy Lacine, The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance Evidence from 1993-20",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2014",
  "ssrn": "https://ssrn.com/abstract=2486570",
  "source_pdf_sha256": "8c3981c9a55d8a3fe59a01660584eebc3feb3fb9109ca65344095bebe4ae49a4"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/2486570-001"
  },
  {
   "@type": "CreativeWork",
   "name": "Artificial Intelligence, Cyber Law, and Advocate Accountability in India",
   "url": "https://doi.org/10.2139/ssrn.6294758"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0010",
 "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/2026-07-31-7884",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7884.md",
 "candidateId": "kaal:response-draft:2026-07-31:8f5f2309efafd5d2b6e1",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.3813,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: toward, compliance, marking, shift, governance. Scope: review source claim scope.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.2139/ssrn.6294758",
  "queryId": "concept:a2c487c0792c",
  "queryText": "autonomous agent accountability",
  "canonicalUrl": "https://doi.org/10.2139/ssrn.6294758",
  "doi": "10.2139/ssrn.6294758",
  "externalIds": {
   "DOI": "10.2139/ssrn.6294758",
   "Crossref": "10.2139/ssrn.6294758"
  },
  "retrievedAt": "2026-07-31T21:32:59.116Z",
  "providerPage": 51,
  "rawObservationSha256": "0221ef96028cbcfdef3245d1121fef947c1ab490bf21afec11a83e987f799721",
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  "chunkId": "crossref-00053",
  "workId": "work:doi:10.2139/ssrn.6294758",
  "workAuthors": [
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  ],
  "workPublishedAt": "2026-01-01",
  "identityKeys": [
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   "url:https://doi.org/10.2139/ssrn.6294758",
   "title:9efd4315afe42ba36f4d76bb",
   "proposition:f3b89a3b7c43a15d6030628b7c5bafa805166c13af2638f23d6c78aaee8d4e70"
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  "sourceProposition": "The study argues that India is moving toward a remuneration-based compliance model that prioritises innovation while preserving creator incentives, marking a significant shift in global AI-copyright governance.</span></p>",
  "sourcePropositionSha256": "3fd9d5033e9d93c87f8d7a04c7258cde9e0b58e4e05d069ed004309adf1188cb",
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  "claimMappings": [
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    "claimUrl": "https://wulfkaal.github.io/claims/2486570-001",
    "rank": 1,
    "confidence": 0.3813,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: toward, compliance, marking, shift, governance. Scope: review source claim scope.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5541658-026",
    "claimUrl": "https://wulfkaal.github.io/claims/5541658-026",
    "rank": 2,
    "confidence": 0.3449,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, law, innovation, while. Scope: comparative regulation of AI in legal and judicial settings.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:2939127-004",
    "claimUrl": "https://wulfkaal.github.io/claims/2939127-004",
    "rank": 3,
    "confidence": 0.3284,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, law, innovation. Scope: first mover law schools that make the financial investment; a threshold point of law firm adoption is reached.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5541658-004",
    "claimUrl": "https://wulfkaal.github.io/claims/5541658-004",
    "rank": 4,
    "confidence": 0.3284,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, law, innovation. Scope: the 2010s wave of deep learning tools in legal practice.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:2922176-034",
    "claimUrl": "https://wulfkaal.github.io/claims/2922176-034",
    "rank": 5,
    "confidence": 0.3278,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, innovation, governance. Scope: review source claim scope.",
    "ambiguous": true
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 },
 "userAffirmation": "affirm batch kaal-review:2026-07-31:streaming-etl-0010, SHA-256 702170a5716aed9e79302e88407930485844aeec8c140fe64a7bf7d5dd9603af, 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.",
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}