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Computer Science > Information Retrieval

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By Dominik Kowald, Simone Kopeinik, Gregor Autischer
| arXiv
AI-based labor-market systems or platforms can affect access to job opportunities prior to organizational candidate rankings or hiring decisions. Such applications warrant caution, as biases in skill extraction, profile formation, and candidate-job matching may contribute to unfair treatment of candidates. In this paper, we propose a two-stage framework for detecting and governing bias in skills-based job matching.
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