{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7535",
 "identifier": "kaal:position:2026-07-31-7535",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Game Theory For Autonomous Ai Systems In Corporate Governance 3C8B832381",
 "text": "Game theory for autonomous AI systems in corporate governance. presents the following source proposition: Despite the fact that modern artificial intelligence technologies are largely based on machine learning, machine learning algorithms themselves are not a strategy. This proposition is pertinent to Kaal's source-bound claim that Critics who dismiss artificial intelligence on boards as science fiction not worth engaging are wrong: AI on boards is a real prospect, and technologies such as blockchain-based smart contracts will both disrupt corporate governance and supply solutions to it. 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",
  "blockchain",
  "governance-design",
  "corporate-governance",
  "innovation",
  "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: 0.4967.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Game theory for autonomous AI systems in corporate governance.",
  "url": "https://doi.org/10.21683/1729-2646-2025-25-2-50-58"
 },
 "extends": {
  "identifier": "kaal:claim:2922176-034",
  "url": "https://wulfkaal.github.io/claims/2922176-034",
  "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/2922176-034"
  },
  {
   "@type": "CreativeWork",
   "name": "Game theory for autonomous AI systems in corporate governance.",
   "url": "https://doi.org/10.21683/1729-2646-2025-25-2-50-58"
  }
 ],
 "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/2026-07-31-7535",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7535.md",
 "candidateId": "kaal:response-draft:2026-07-31:92b8590eb3a33f7370e9",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.4967,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: corporate, governance, artificial, intelligence, technologies, not. Scope: review source claim scope.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.21683/1729-2646-2025-25-2-50-58",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.21683/1729-2646-2025-25-2-50-58",
  "doi": "10.21683/1729-2646-2025-25-2-50-58",
  "externalIds": {
   "DOI": "10.21683/1729-2646-2025-25-2-50-58",
   "Crossref": "10.21683/1729-2646-2025-25-2-50-58"
  },
  "retrievedAt": "2026-07-31T20:34:05.446Z",
  "providerPage": 15,
  "rawObservationSha256": "fc447f7e8247f3b7442f3cea0cc8d9500fae5248b9635393bba861177b704446",
  "inputSnapshotSha256": "95f3c3e1638ca36a1683b7a07036b5ed8191ad7a1549b24a5ebff941a468f5ce",
  "inputLine": 3605,
  "chunkId": "crossref-00006",
  "workId": "work:doi:10.21683/1729-2646-2025-25-2-50-58",
  "workAuthors": [
   "A. S. Romanova"
  ],
  "workPublishedAt": "2025-06-05",
  "identityKeys": [
   "doi:10.21683/1729-2646-2025-25-2-50-58",
   "crossref:10.21683/1729-2646-2025-25-2-50-58",
   "url:https://doi.org/10.21683/1729-2646-2025-25-2-50-58",
   "title:081492cb018dad1d3d8cca3b",
   "proposition:62d0feb15b1d5a1564d7a610a6b35074a286aed6df22ad28d6ceae1134ac121c"
  ],
  "sourceProposition": "Despite the fact that modern artificial intelligence technologies are largely based on machine learning, machine learning algorithms themselves are not a strategy.",
  "sourcePropositionSha256": "f3429622b44b960ca63b956bb0b77c10749ee16650442a96621ad73312f76fd9",
  "sourcePropositionIndex": 0,
  "claimMappings": [
   {
    "claimId": "kaal:claim:2922176-034",
    "claimUrl": "https://wulfkaal.github.io/claims/2922176-034",
    "rank": 1,
    "confidence": 0.4967,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: corporate, governance, artificial, intelligence, technologies, not. Scope: review source claim scope.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:2922176-033",
    "claimUrl": "https://wulfkaal.github.io/claims/2922176-033",
    "rank": 2,
    "confidence": 0.4359,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: corporate, governance, artificial, intelligence, not. Scope: extrapolated from the appointment of the algorithm Vital at Deep Knowledge Ventures and Alicia T at Tieto.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:3782193-031",
    "claimUrl": "https://wulfkaal.github.io/claims/3782193-031",
    "rank": 3,
    "confidence": 0.4151,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: game, corporate, governance, not, strategy. Scope: anonymous contracting; no effect of the outcome on future business.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:3782193-030",
    "claimUrl": "https://wulfkaal.github.io/claims/3782193-030",
    "rank": 4,
    "confidence": 0.4145,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: corporate, governance, despite, fact, not. Scope: Maghribi Jewish traders around 1000 AD under the Fatimid caliphate.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:2922176-001",
    "claimUrl": "https://wulfkaal.github.io/claims/2922176-001",
    "rank": 5,
    "confidence": 0.3956,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: corporate, governance, technologies, algorithms. Scope: applies to companies competing on consumer relevance in digitized, networked markets.",
    "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": "706178039667d4798ce5783597c17b64638f303d585cd23b45bb10fec415c2a4"
}