Refusal
A refusal is an assistant saying it does not know. Systems that cannot do this are not safer, they are just quieter about being wrong.
Why it matters
Every assistant meets questions its content does not cover. What it does then determines whether it is useful or dangerous — and an assistant that cannot refuse will invent, because producing text is the only thing it does.
- Confident answers to questions the content never addressed
- Deflection metrics optimised by never declining anything
- Customers acting on invented policies
A refusal is not a failure
It is the correct output when the material is absent. The alternative is not a better answer, it is a wrong one — and a wrong answer costs more than the refusal it replaced, because the customer acts on it.
Refusals are the most useful signal you get
Each one records a question your content does not answer. Aggregated and ranked, refusals become a content plan derived from demonstrated demand, which is why they should be logged rather than merely handled.
Make the refusal useful
'I do not know' is honest but not helpful on its own. Pairing it with a route to a human, and capturing the question, turns the moment into either a resolved contact or a lead.
Common questions
- Should I try to minimise refusals?
- Minimise the ones caused by missing content, by writing the missing content. Do not minimise them by loosening grounding, which converts honest refusals into confident inventions and moves the cost somewhere less visible.
- What refusal rate is normal?
- It depends entirely on your content coverage. The useful signal is the direction over time as you fill gaps, not the absolute number.
Related terms
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