ResourcesWhitepaperQuestion-aware Outlier Answer Detection for Fairer AI Scoring of Interviews


Question-aware Outlier Answer Detection for Fairer AI Scoring of Interviews

This research explores the enhancement of AI interviewers' fairness by implementing a question-aware answer outlier detection model. The study identifies the challenges of AI interviewers learning from past interview answers and introduces a novel unsupervised model to address these issues, ensuring fairer scoring of interview responses.

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