Identifying and Mitigating Ethnicity Bias in Structured Interview Responses

This research investigates how structured interview responses can contain indicators of ethnicity within candidates text responses that can lead to bias. It explores the issue of linguistic racism in English and examines how machine learning models can reduce bias by analysing specific attributes from a candidates responses instead of their raw text.