Proposes a minimal model for traceability in AI systems, supporting integrity validation and auditability.
This preprint proposes a minimal, technology-neutral model for verifiable traceability in AI systems. It addresses the gap between high-level regulatory obligations under the EU AI Act and their practical implementation by defining auditable events, integrity-preserving event structures, and independently verifiable evidence packages. The objective is to support reconstruction, auditability, integrity validation, and independent verification of AI system behavior without prescribing a specific technology or implementation.
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Antonio Tena Salguero (2026) studied this question.
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