Approval Queue
A product interface in AI-assisted decision systems that holds proposals awaiting review. It must specify the concrete decision content, evidence completeness, owner review status and permission review status, serving as a key link in the human-AI collaborative decision path.
Timeline (last 90 days)
Common engineering implementations of Human-in-the-loop include approval queues, permission checks before tool calls, and an interruptible execution state machine.
Approval queue entries should distinguish between two states: "looks complete" and "actually decidable."
It is suggested that the approval queue distinguish four states: evidence incomplete, owner review, authority review, and decision recorded.
Adding a status='pending' condition to the UPDATE statement in the approval interface ensures that when two reviewers approve simultaneously, only one succeeds and the other receives a 409.
Rubber-stamp approvals (where reviewers approve continuously without reading the content) can be detected by monitoring when the median approval time drops to one or two seconds.
All Facts (5)
Common engineering implementations of Human-in-the-loop include approval queues, permission checks before tool calls, and an interruptible execution state machine.
50%UnverifiedApproval queue entries should distinguish between two states: "looks complete" and "actually decidable."
50%UnverifiedIt is suggested that the approval queue distinguish four states: evidence incomplete, owner review, authority review, and decision recorded.
50%UnverifiedAdding a status='pending' condition to the UPDATE statement in the approval interface ensures that when two reviewers approve simultaneously, only one succeeds and the other receives a 409.
50%UnverifiedRubber-stamp approvals (where reviewers approve continuously without reading the content) can be detected by monitoring when the median approval time drops to one or two seconds.
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