Mitigating Bias in Algorithmic Hiring¶
Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2020). Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 469-481.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Hiring Shortlist Process
- Its failure mode is that early screens lean on convenient proxies — school, prior employer, keyword match — that correlate with performance weakly and with protected characteristics strongly, producing adverse impact
This sourceWarns that algorithmic hiring assessments can encode inequality while presenting a veneer of objectivity and can produce adverse impact.
- Its failure mode is that early screens lean on convenient proxies — school, prior employer, keyword match — that correlate with performance weakly and with protected characteristics strongly, producing adverse impact
Verification¶
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Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
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Registry ID ref:ba257be58bfa · see in the full table