A single AI audit record, while verifiable through hash chains, only proves a limited set of claims, not the entire five-layer evidence model. These layers include the event record itself, source integrity, execution linkage, coverage of execution paths, and external result verification. A real-world example demonstrates that even a seemingly complete record might lack crucial details like explicit tool names or before-and-after snapshots, making it difficult to fully ascertain the event's execution and outcome. AI
IMPACT Clarifies the complexities of AI audit trails, impacting how developers and auditors approach evidence verification.
RANK_REASON The item discusses the limitations of AI audit records and proposes a conceptual model, which falls under commentary.
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