Building an Accountability Layer: Making AI Agent Behavior Human-Readable
SmartRick · reddit · 2026-09-09
The author argues AI needs an accountability layer as token output is projected to exceed 600 trillion/day by end of 2026. Drawing on 50,000+ calls across 17 personas, they show behavioral weights change both vocabulary and tool invocation. Rather than auditing every computation, they propose making system behavior observable and human-readable — who asked what, which tools ran with what permissions, who authorized actions, and whether the request-to-outcome path can be reconstructed — turning the black box into a 'glassbox,' while criticizing frontier labs for not taking it seriously enough.
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