{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7706",
 "identifier": "kaal:position:2026-07-31-7706",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Culture Based Explainable Human Agent Deconfliction 30D17Ed4A8",
 "text": "Culture-Based Explainable Human-Agent Deconfliction presents the following source proposition: The need for explanations is associated with user acceptance and trust. This proposition is pertinent to Kaal's source-bound claim that Explainable reinforcement learning research has not yet produced usable explanations: the field relies on toy examples, omits user testing, produces explanations that are themselves complex, uses basic visualizations, and rarely open sources its code. 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",
  "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: 0.3948.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Culture-Based Explainable Human-Agent Deconfliction",
  "url": "https://doi.org/10.65109/dwbu7211"
 },
 "extends": {
  "identifier": "kaal:claim:4855607-013",
  "url": "https://wulfkaal.github.io/claims/4855607-013",
  "citation": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607",
  "paper": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2024",
  "ssrn": "https://ssrn.com/abstract=4855607",
  "source_pdf_sha256": "eb0b3e62374b45a8fa888c6bde9725e606bcb46cf4b5e74a6e851d9f25099113"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/4855607-013"
  },
  {
   "@type": "CreativeWork",
   "name": "Culture-Based Explainable Human-Agent Deconfliction",
   "url": "https://doi.org/10.65109/dwbu7211"
  }
 ],
 "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"
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 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-7706",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7706.md",
 "candidateId": "kaal:response-draft:2026-07-31:c3876eee7ecdaf417de3",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.3948,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: explainable, explanations, user. Scope: current explainable RL research as surveyed in the text.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.65109/dwbu7211",
  "queryId": "concept:a2c487c0792c",
  "queryText": "autonomous agent accountability",
  "canonicalUrl": "https://doi.org/10.65109/dwbu7211",
  "doi": "10.65109/dwbu7211",
  "externalIds": {
   "DOI": "10.65109/dwbu7211",
   "Crossref": "10.65109/dwbu7211"
  },
  "retrievedAt": "2026-07-31T21:31:30.285Z",
  "providerPage": 8,
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  "chunkId": "crossref-00009",
  "workId": "work:doi:10.65109/dwbu7211",
  "workAuthors": [
   "Alex Raymond",
   "Hatice Gunes",
   "Amanda Prorok"
  ],
  "workPublishedAt": "2020-05-05",
  "identityKeys": [
   "doi:10.65109/dwbu7211",
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  "sourcePropositionIndex": 2,
  "claimMappings": [
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    "claimId": "kaal:claim:4855607-013",
    "claimUrl": "https://wulfkaal.github.io/claims/4855607-013",
    "rank": 1,
    "confidence": 0.3948,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: explainable, explanations, user. Scope: current explainable RL research as surveyed in the text.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5541658-015",
    "claimUrl": "https://wulfkaal.github.io/claims/5541658-015",
    "rank": 2,
    "confidence": 0.3677,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: explainable, human, explanations. Scope: systems using computational models of argument to generate legally grounded explanations.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5541658-012",
    "claimUrl": "https://wulfkaal.github.io/claims/5541658-012",
    "rank": 3,
    "confidence": 0.2972,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: human, need, explanations. Scope: post hoc explainable AI methods such as the SHAP family of explainers.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:6244278-022",
    "claimUrl": "https://wulfkaal.github.io/claims/6244278-022",
    "rank": 4,
    "confidence": 0.2395,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: human, agent, trust. Scope: requires substantial accumulated reputation that is not portable outside the coordination network.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:4941807-009",
    "claimUrl": "https://wulfkaal.github.io/claims/4941807-009",
    "rank": 5,
    "confidence": 0.223,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: human, explanations. Scope: in deep learning systems deployed in driving and medical prediction.",
    "ambiguous": true
   }
  ]
 },
 "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.",
 "sha256": "867f3900622f5bbbb71baf271541e38df87c1825d65e0d72fa67a862e00f9c65"
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