Assess whether agents must have a human gate for external actions (103d08)

Situation

Drift in a protected class the dashboard does not show put output-scoring rubric that never fails a high-risk output in front of content-attribution program lead in a firm whose vendor MSA is silent on training rights. This AI Governance Layer / Lifecycle and Accountability close is agents must have a human gate from output-scoring rubric that never fails a high-risk output, and the live options are Policy or governance breach, Model defect, Dual failure.

Decision

Content-attribution program lead in a firm whose vendor MSA is silent on training rights must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using output-scoring rubric that never fails a high-risk output after drift in a protected class the dashboard does not show.

Hypotheses to test

• Drift in a protected class the dashboard does not show is noise around an already-controlled Lifecycle and Accountability process in a firm whose vendor MSA is silent on training rights, given output-scoring rubric that never fails a high-risk output.
• Drift in a protected class the dashboard does not show is the event in output-scoring rubric that never fails a high-risk output that forces Policy or governance breach for content-attribution program lead under AI Governance Layer.
• Output-scoring rubric that never fails a high-risk output shows a one-file miss after drift in a protected class the dashboard does not show, not a Lifecycle and Accountability program failure.
• Output-scoring rubric that never fails a high-risk output cannot decide agents must have a human gate yet after drift in a protected class the dashboard does not show; hold is the only AI Governance Layer close a firm whose vendor MSA is silent on training rights can defend.

Analysis required

• Test whether drift in a protected class the dashboard does not show changed routing, logging, or human-in-the-loop on the live agent path.
• Score whether the agent action in output-scoring rubric that never fails a high-risk output was in-policy, out-of-policy, or unlogged.
• Confirm the inventory line still matches the running configuration in a firm whose vendor MSA is silent on training rights.
• For this AI Governance Layer Lifecycle and Accountability file, read output-scoring rubric that never fails a high-risk output against drift in a protected class the dashboard does not show and write the one fact that would move agents must have a human gate for content-attribution program lead.