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JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

The use of Large Language Models (LLMs) in hiring has led to legislative actions to protect vulnerable demographic groups. This paper presents a novel framework for benchmarking hierarchical gender hiring bias in Large Language Models (LLMs) for resume scoring, revealing significant issues of reverse gender hiring bias and overdebiasing.

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Academic Paper
Academic Paper
https://cdn.prod.website-files.com/6305e5d52c28356b4fe71bac/673b8e0922f302cb04465922_Holistic-AI-2024.findings-emnlp.184.pdf
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
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Academic Paper
https://cdn.prod.website-files.com/6305e5d52c28356b4fe71bac/673b8e0922f302cb04465922_Holistic-AI-2024.findings-emnlp.184.pdf
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models