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 "name": "Streaming The Trace Architecture A Lifecycle Methodology And Capability Maturity M A812108F08",
 "text": "The TRACE Architecture: A Lifecycle Methodology and Capability Maturity Model for Multi-Regulatory AI System Governance presents the following source proposition: The governance of artificial intelligence systems in regulated environments has produced a coordination problem that single-framework compliance approaches cannot resolve. 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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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "Mapping review tier: moderate-confidence claim review.",
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  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "The TRACE Architecture: A Lifecycle Methodology and Capability Maturity Model for Multi-Regulatory AI System Governance",
  "url": "https://doi.org/10.2139/ssrn.6676458"
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  "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": [
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