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Evidence record 7341 · automatically gathered

Gender Bias in Generative AI-assisted Recruitment Processes

In recent years, generative artificial intelligence (GenAI) systems have assumed increasingly crucial roles in selection processes, personnel recruitment and analysis of candidates' profiles. However, the employment of large language models (LLMs) risks reproducing, and in some cases amplifying, gender stereotypes and bias already present in the labour market. The objective of this paper is to evaluate and measure this phenomenon, analysing how a state-of-the-art generative model (GPT-5) suggest

Record details

Published: 12 March 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Jobs & economy
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (12 March 2026), “Gender Bias in Generative AI-assisted Recruitment Processes,” evidence record 7341, https://ethics.ai/record/7341 (originally published by arXiv).

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