Human-in-the-Loop Knowledge Review Glossary Definition

Human-in-the-Loop Knowledge Review is a governance practice in which a qualified person reviews, approves, corrects, or rejects knowledge created or suggested by automation or artificial intelligence.

Human-in-the-Loop Knowledge Review helps reduce the risk of publishing inaccurate, unsafe, biased, or unsupported knowledge generated by AI systems. Treat the term as emerging where implementations depend on model quality, workflow design, and governance. Additional resource: NIST AI Risk Management Framework.