Reports
Measuring Gender Bias in Job Title Matching for Grammatical Gender Languages
This study examines how grammatical gender in job titles can influence AI-powered job matching and ranking. Using dedicated test sets across four grammatical gender languages, the researchers introduce a methodology to measure gender bias in multilingual models. Results show varying degrees of bias across all models evaluated, highlighting the importance of fairness-aware evaluation in AI-driven talent matching.