Where is the boundary condition for human refusal authority in AI governance?

Most AI governance frameworks address risk management, capability control,

or post-incident analysis.

But I’m struggling to find something more fundamental:

A clear structural condition for when human refusal authority must remain

effective — before irreversible external impact occurs.

In other words, not “how to manage risk,” but:

At what point is a system already procedurally invalid,

because human refusal is no longer meaningfully possible?

I’ve been exploring this as a possible boundary condition,

rather than a policy or implementation proposal.

Question:

Are there existing frameworks that explicitly define this kind of condition?

Specifically:

A definition of procedural invalidity based on loss of effective human refusal

authority prior to irreversible external effects.

If not, how do current approaches implicitly handle this gap?

---

(For context, I’ve been working on a related framework here)