Flow-by-Flow:Content-Judgment Bypass for Governing AI Output in High-Loss Domains
Prior work showed that human-in-the-loop oversight becomes structurally untenable in high-loss domains once AI output velocity V exceeds human cognitive capacity C_max. The operative constraint, however, is V x L, where L is per-item cognitive load: triage, judgment, and response. These components respond asymmetrically to capability improvement. Triage cost does not decline, because semantic indeterminacy is inherent in general-purpose design. Response cost is invariant to accuracy. Only judgment cost faces downward pressure, largely by inducing omission. Capability improvement therefore restructures L rather than reducing it. We prove a proposition: if V x L grows at any positive compou...
| Authors | Hiroki Naito |
|---|---|
| Primary category | cs.AI |
| Published | 26 April 2026 |
| Last updated at source | 12 August 2026 |
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