·3 min read
Human review that never runs
A review queue nobody opens is not a control. The human has to see the case, the source and a decision that actually lands.
Photo: krakenimages on Unsplash
Every AI programme has a slide that says a human is in the loop. Open the product and the loop is an email folder, a dashboard nobody watches, or a button that auto-approves after thirty seconds.
Google’s People + AI Guidebook is blunt about this: the human needs the right information at the right moment, not a dump of logits. If the reviewer cannot see the source, they are rubber-stamping fluency.
A working review looks like a case. The prompt, the retrieved passages, the draft, the risk flags, a named person, a clock. Skip any of those and you do not have oversight. You have a story for the board.
Sampling is allowed. Rubber-stamping a thousand rows is not review. Decide which classes always stop (legal advice, clinical language, a payout over a threshold) and which can be sampled with an audit trail.
Model-side work still matters. Constitutional AI is one way to reduce the worst outputs before a person sees them. It is not a substitute for a person on the classes that can harm someone.
Measure whether review actually happens. Time to decision. Override rate. Cases that expired unreviewed. If those numbers are empty, the control is fictional.
The product test is simple. Can you show last Tuesday’s queue, who touched it, and what they changed?
The TruFyre Way
"Human in the loop" that never runs is theatre. TruFyre makes review a real step: an owner, a source pack, a recorded decision.