AI engineering glossary · AI ethics law product
What is implicit feedback?
Implicit feedback: Signals about quality inferred from user behaviour rather than stated opinions, such as whether they copy an answer, rephrase the question, abandon the session or edit the result. It is plentiful but noisy and needs careful interpretation.
Implicit feedback: an example
When users immediately re-ask the same question in different words, the team counts it as a sign the first answer was unhelpful.
Related terms
More AI ethics law product terms
- Individual fairness
- Interpretability
- k-anonymity
- Label bias
- Lawful basis
- LIME
- Local explanation
- Machine unlearning
Where you learn it
Implicit feedback is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.