True Function Diagnostic
Does the workflow produce the safety outcome it claims, or a representation of it? Reports an evidence state, not a decorative score. Runs entirely in your browser; nothing is transmitted or stored.
Open ToolFocused pieces on AI as a performer, verification overrun, closed informational loops, verification capacity, and operational safety in AI-enabled work systems.
These resources support the HAOP white paper by giving specific failure modes and design questions a place to stand on their own. They include Zenodo preprints, published articles, and concept pages connected to the HAOP framework.
Does the workflow produce the safety outcome it claims, or a representation of it? Reports an evidence state, not a decorative score. Runs entirely in your browser; nothing is transmitted or stored.
Open ToolClosed informational loops in safety-critical work: how AI-enabled workflows can suppress correction signals while the system continues to appear functional.
Open ResourceThe hazardous condition in which a person is held accountable for a verification that exceeds the capacity to verify under the conditions provided. A state of the system, not a state of the worker. Formerly titled Cognitive Overrun.
Open ResourceWhy fast AI-enabled systems need verification designed into the workflow, not bolted on at the end after the loop has already closed upstream.
Open ResourceAI does not choose whether to augment or surveil. The organization does. Above the worker, the human is measured; alongside the worker, the human is equipped — and the direction is set before the device reaches the worker's ear.
Read on ISHNAI becomes a performer when it moves from bounded tool use into operational influence: routing, recommending, prioritizing, approving, or shaping what humans see first.
Open ResourceA systems argument about AI replacement, recursive synthetic data, weak-signal loss, and the danger of extracting human expertise while degrading the human system that keeps AI grounded.
Open Resource