AI power shifts to whoever controls the audit trail, not the model
krishnan · x · 2026-07-21
The post argues that in AI-driven organizations, power shifts to whoever controls the audit trail — not just the model.
It says the key evidence chain is: who asked, what the system returned, who edited it, who approved it, and who owned the outcome. The author frames this as a governance problem, not a technical edge case, and points to the NIST AI Risk Management Framework and the EU AI Act as signals that documentation, oversight, and traceability will be central to real-world AI deployment. The strongest line: if an AI workflow cannot produce an audit trail, it is a liability with a user interface.
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