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 "name": "Streaming From Compliance To Intelligence How Ai Agent Audit Logs Become The World 5D7A6Cdf38",
 "text": "From Compliance to Intelligence: How AI Agent Audit Logs become the World's Best Training Data presents the following source proposition: They have no access to the gov- erned operational experience of prior agents that executed similar missions. This proposition is pertinent to Kaal's source-bound claim that The governance protocols required for GDPR and AI Act compliance, including anonymization, data minimization, and explicit consent, themselves complicate the assembly of robust AI training datasets. 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.",
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4067.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "From Compliance to Intelligence: How AI Agent Audit Logs become the World's Best Training Data",
  "url": "https://doi.org/10.2139/ssrn.7124338"
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  "url": "https://wulfkaal.github.io/claims/5095633-012",
  "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633",
  "paper": "Wulf A. Kaal, Artificial Intelligence The Final Frontier",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5095633",
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  "workAuthors": [
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