Raeburn Knowledge Base
Candidate matching and data governance
Candidate matching can influence opportunities, so data quality, job relevance, explainability, bias testing, retention and human accountability matter as much as model accuracy.
Practical considerations
- • Use job-relevant evidence
- • Test for false exclusion and subgroup effects where appropriate
- • Keep recruiters accountable for consequential decisions
- • Document candidate-data sources and permissions