{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7488",
 "identifier": "kaal:position:2026-07-31-7488",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Ai Enabled Esg Scoring Models For Corporate Governance 16Aed150F3",
 "text": "AI-Enabled ESG Scoring Models for Corporate Governance presents the following source proposition: The chapter offers an in-depth architecture of creating artificial intelligence-based ESG scoring models that would overcome these limitations. This proposition is pertinent to Kaal's source-bound claim that It is feasible that in the not too distant future an artificial intelligence will hold an independent board seat with voting authority and be trusted to make smarter, data-driven choices than human directors. 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",
  "corporate-governance",
  "governance-design",
  "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: 0.4223.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "AI-Enabled ESG Scoring Models for Corporate Governance",
  "url": "https://doi.org/10.4018/979-8-3373-5891-8.ch004"
 },
 "extends": {
  "identifier": "kaal:claim:2922176-033",
  "url": "https://wulfkaal.github.io/claims/2922176-033",
  "citation": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, The ‘Unmediated’ and ‘Tech-Driven’ Corporate Governance of Today's Winning Companies (2017). SSRN: https://ssrn.com/abstract=2922176",
  "paper": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, The ‘Unmediated’ and ‘Tech-Driven’ Corporate Governance of Today's Winning Companies",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2017",
  "ssrn": "https://ssrn.com/abstract=2922176",
  "source_pdf_sha256": "fa4e986917d437cb1504281e7b986be2698e9507d8feaf426c9d7d1754ca882c"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/2922176-033"
  },
  {
   "@type": "CreativeWork",
   "name": "AI-Enabled ESG Scoring Models for Corporate Governance",
   "url": "https://doi.org/10.4018/979-8-3373-5891-8.ch004"
  }
 ],
 "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/2026-07-31-7488",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7488.md",
 "candidateId": "kaal:response-draft:2026-07-31:e066dcf87b0ae9990e12",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.4223,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: corporate, governance, artificial, intelligence. Scope: extrapolated from the appointment of the algorithm Vital at Deep Knowledge Ventures and Alicia T at Tieto.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.4018/979-8-3373-5891-8.ch004",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.4018/979-8-3373-5891-8.ch004",
  "doi": "10.4018/979-8-3373-5891-8.ch004",
  "externalIds": {
   "DOI": "10.4018/979-8-3373-5891-8.ch004",
   "Crossref": "10.4018/979-8-3373-5891-8.ch004"
  },
  "retrievedAt": "2026-07-31T20:34:04.717Z",
  "providerPage": 13,
  "rawObservationSha256": "3c771b3f3d6cbbc38a79f13e5a7838cb25b2eb27fc66d3a4cb658be162a01465",
  "inputSnapshotSha256": "95f3c3e1638ca36a1683b7a07036b5ed8191ad7a1549b24a5ebff941a468f5ce",
  "inputLine": 3149,
  "chunkId": "crossref-00004",
  "workId": "work:doi:10.4018/979-8-3373-5891-8.ch004",
  "workAuthors": [
   "Ujan Pradhan",
   "Vyomika Anand"
  ],
  "workPublishedAt": "2025-08-01",
  "identityKeys": [
   "doi:10.4018/979-8-3373-5891-8.ch004",
   "crossref:10.4018/979-8-3373-5891-8.ch004",
   "url:https://doi.org/10.4018/979-8-3373-5891-8.ch004",
   "title:f84b04888c4e575054d5d9c8",
   "proposition:1156de073a285e7e6c73737ba0bb1d9c5570ff2be8f25092c69cd500056411d9"
  ],
  "sourceProposition": "The chapter offers an in-depth architecture of creating artificial intelligence-based ESG scoring models that would overcome these limitations.",
  "sourcePropositionSha256": "f9c148ac652b0fa938c9425e49193a14e2f27c2c7c7340d9d205c5032c98c89d",
  "sourcePropositionIndex": 2,
  "claimMappings": [
   {
    "claimId": "kaal:claim:2922176-033",
    "claimUrl": "https://wulfkaal.github.io/claims/2922176-033",
    "rank": 1,
    "confidence": 0.4223,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: corporate, governance, artificial, intelligence. Scope: extrapolated from the appointment of the algorithm Vital at Deep Knowledge Ventures and Alicia T at Tieto.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:2922176-034",
    "claimUrl": "https://wulfkaal.github.io/claims/2922176-034",
    "rank": 2,
    "confidence": 0.4223,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: corporate, governance, artificial, intelligence. Scope: review source claim scope.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5583610-030",
    "claimUrl": "https://wulfkaal.github.io/claims/5583610-030",
    "rank": 3,
    "confidence": 0.3786,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: esg, corporate, governance. Scope: contested ESG shareholder proposals.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:1908473-010",
    "claimUrl": "https://wulfkaal.github.io/claims/1908473-010",
    "rank": 4,
    "confidence": 0.3435,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: corporate, governance, offers. Scope: review source claim scope.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5583610-029",
    "claimUrl": "https://wulfkaal.github.io/claims/5583610-029",
    "rank": 5,
    "confidence": 0.3435,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: corporate, governance, offers. Scope: settlement context with an activist investor.",
    "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": "cae36bc4d389ac7e3d74f60f802351f7b7d22ff566f661c868d31aa99cfeedc0"
}
