AI System Report: Hirevue’s AI-Driven Assessment Tool

Authors

  • Fanyi Zhou School of Social Sciences & Law, University College Dublin, Belfield, Dublin 4, Ireland

Keywords:

AI-driven assessment, machine learning, recruitment technology, Hirevue, bias mitigation

Abstract

Hirevue, a leading technology company in human resources, utilizes AI to optimize recruitment processes through its sophisticated assessment platform. This platform employs machine learning to analyze video interviews, evaluating both verbal and non-verbal cues to predict candidates’ traits and competencies. Continuous algorithmic enhancements, including the integration of advanced technologies such as RoBERTa for NLP, highlight Hirevue’s dedication to accuracy and fairness in candidate evaluations. The system is designed to streamline recruitment, enhance hiring quality, and boost efficiency, demonstrated by notable time savings and improved employee retention across various implementations. Nonetheless, ethical concerns regarding transparency and bias in AI-driven assessments necessitate ongoing scrutiny and mitigation efforts.

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Published

2024-07-19

How to Cite

Fanyi Zhou. (2024). AI System Report: Hirevue’s AI-Driven Assessment Tool. nnovation in cience and echnology, 3(4), 109–112. etrieved from https://www.paradigmpress.org/ist/article/view/1204

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Section

Articles