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 "@context": "https://schema.org",
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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7202",
 "identifier": "kaal:position:2026-07-31-7202",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming From Responsibility To Safety Ai Governance In The Eu S General Purpose  Eb3394708B",
 "text": "From Responsibility to Safety: AI Governance in the EU's General-Purpose AI Code of Practice presents the following source proposition: As part of the AI Act implementation, the European Commission has introduced the GeneralPurpose AI Code of Practice (the “Code”), a supplement to the Act meant to outline how compliance can be achieved for providers of “general-purpose” AI models. This proposition is pertinent to Kaal's source-bound claim that Generic industry advice on building an effective compliance program cannot work in practice because it is written to apply to many firms at once while no two companies are sufficiently alike for general guidance to be effective. 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"
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 "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: 0.3701.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "From Responsibility to Safety: AI Governance in the EU's General-Purpose AI Code of Practice",
  "url": "https://doi.org/10.2139/ssrn.6721368"
 },
 "extends": {
  "identifier": "kaal:claim:2486570-027",
  "url": "https://wulfkaal.github.io/claims/2486570-027",
  "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"
 },
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  },
  {
   "@type": "CreativeWork",
   "name": "From Responsibility to Safety: AI Governance in the EU's General-Purpose AI Code of Practice",
   "url": "https://doi.org/10.2139/ssrn.6721368"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0008",
 "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": {
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 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-7202",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7202.md",
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 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.3701,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: governance, general, practice, meant, compliance. Scope: review source claim scope.",
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  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
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  "doi": "10.2139/ssrn.6721368",
  "externalIds": {
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  "workId": "work:doi:10.2139/ssrn.6721368",
  "workAuthors": [
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   "Danielle Shanley"
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  "sourceProposition": "As part of the AI Act implementation, the European Commission has introduced the GeneralPurpose AI Code of Practice (the “Code”), a supplement to the Act meant to outline how compliance can be achieved for providers of “general-purpose” AI models.",
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    "confidence": 0.3701,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, general, practice, meant, compliance. Scope: review source claim scope.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/4855607-024",
    "rank": 2,
    "confidence": 0.3015,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: safety, governance, compliance. Scope: sectors where AI applications must rapidly adapt to new laws and ethical considerations.",
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   {
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: act, compliance, providers. Scope: respondents who used a service provider; responses to survey Question 11b(ii).",
    "ambiguous": true
   },
   {
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    "rank": 4,
    "confidence": 0.2971,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: practice, implementation, compliance. Scope: proposed rather than enacted frameworks for auditing judicial AI.",
    "ambiguous": true
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   {
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    "rank": 5,
    "confidence": 0.2938,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: act, implementation, compliance. Scope: continuing SEC amendment of rules and reporting forms after Title IV.",
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 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0008, SHA-256 469be3af77a43b8a86f52c2e8253882abdefc7a0da53c392329c3cb8a11e8160, 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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}