Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening
arXiv:2507.11548v3 Announce Type: replace Abstract: The use of publicly available generative AI systems for resume evaluation is often justified by the assumption that these tools reduce bias relative to human judgment. However, this framing leaves a prior question unresolved: whether these systems are capable of performing the evaluative task at all. This study presents a two-part audit of eight widely used AI platforms used for resume screening. Drawing on the concept of the Illusion of Neutra
Record details
Published: 29 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Bias & fairness · Transparency
Retrieved: 29 July 2026
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How to cite this record
ethics.ai (29 July 2026), “Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening,” evidence record 14108, https://ethics.ai/record/14108 (originally published by arXiv cs.CY).
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