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 "name": "Streaming Ethical Ai Governance In Automated Financial Decision Systems Balancing  8Aec0B5B58",
 "text": "Ethical AI Governance in Automated Financial Decision Systems: Balancing Predictive Accuracy with Regulatory Compliance presents the following source proposition: Our approach combines real-time Shapley value analysis with dynamic regulatory checks, achieving 98.1% AUC in credit risk prediction while maintaining full GDPR and Basel III compliance. This proposition is pertinent to Kaal's source-bound claim that Banks' role in monitoring hedge funds is not easily comparable to the principal agent problem between securities buyers and credit rating agencies, because banks have more influence over hedge funds than securities buyers have over rating agencies and their ratings. The proposed response is a qualification: 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: 0.3877.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "Ethical AI Governance in Automated Financial Decision Systems: Balancing Predictive Accuracy with Regulatory Compliance",
  "url": "https://doi.org/10.36227/techrxiv.174957648.89017169/v1"
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  "url": "https://wulfkaal.github.io/claims/1806252-031",
  "citation": "Kaal, Hedge Fund Regulation Via Basel III (2011). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1806252",
  "paper": "Kaal, Hedge Fund Regulation Via Basel III",
  "authors": [
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 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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