aceFairness, AI & recruitment
The ever-increasing adoption of AI technologies in the hiring landscape to enhance human resources efficiency raises questions about algorithmic decision-making's implications in employment, especially for job applicants, including those at higher risk of social discrimination. Among other concepts, such as transparency and accountability, fairness has become crucial in AI recruitment debates due to the potential reproduction of bias and discrimination that can disproportionately affect certain vulnerable groups…
AI recruitment systems risk reproducing bias and discrimination that disproportionately harms vulnerable job applicants.
As a scoping literature review, findings are synthesized from existing literature rather than new empirical measurement, and current governance is fragmented.
Evidence
- Peer-reviewedComputer Law & Security Review2024-04-08
How should this claim be treated?
Truvace Impact Record TRV-2026-0439, v1: “Fairness, AI & recruitment.” Truvace, 2026-07-20. /record/TRV-2026-0439 (accessed at citation time). sha256 be001f8dc0dbf1e7…
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