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 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Epistemic Extraction In Ai Governance Institutional Design And Participa Ce7Dbdae48",
 "text": "Epistemic Extraction in AI Governance: Institutional Design and Participation in the Global South presents the following source proposition: <p>Artificial intelligence governance increasingly conditions participation in digital administrative and regulatory systems on adoption of externally defined epistemic categories. This proposition is pertinent to Kaal's source-bound claim that The digital divide among legal professionals complicates equitable adoption of AI and may exacerbate rather than reduce disparities in access to justice. 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": {
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4545.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "Epistemic Extraction in AI Governance: Institutional Design and Participation in the Global South",
  "url": "https://doi.org/10.2139/ssrn.6835741"
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  "url": "https://wulfkaal.github.io/claims/5541658-022",
  "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
  "paper": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5541658",
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 "mappingWhyRelevant": "Shared high-information concepts: institutional, design, artificial, intelligence, digital, adoption. Scope: settings where access to AI tools is unequally distributed among practitioners.",
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    "whyRelevant": "Shared high-information concepts: institutional, design, artificial, intelligence. Scope: applies even to providers that emphasize high-quality data such as Scale AI and Appen.",
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