2WFSS25-Gender-Bias-in-Generative-AI-assisted-Recruitment-Processes

Read full text
Authors: Martina Ullasci, Marco Rondina, Riccardo Coppola, Antonio Vetrò
Cited by: 0

Abstract

Supplementary material for the paper "Gender Bias in Generative AI-assisted Recruitment Processes" submitted to the 2nd International Workshop on Fairness in Software Systems.The Excel file included as an appendix contains the full dataset and analyses used in the study and is organized into three worksheets. Sheet 1 – "Table 1":This sheet includes all synthetic profiles generated for the study, covering all possible combinations of the experimental variables. For each profile, the model’s responses are reported for all three outputs. The sheet also contains the data processing and analysis: collection of all responses, separate count frequencies for male and female profiles, aggregation into categories and the calculation of chi-square statistics and corresponding p-values. Sheet 2 – "Analysis Table 1":This sheet summarizes the statistical results, reporting all chi-square values and p-values for the analyses conducted. It also includes bar charts to visually represent the results. Sheet 3 – "Descriptive Table 1":This sheet provides a descriptive overview of the variables, categories and elements included in the main Table 1, helping to clarify and interpret the structure and content of the dataset.

Fields of Study & Subjects

Ethics and Social Impacts of AI AI and HR Technologies Names Identity and Discrimination Research

Publication details

Journal / source
arXiv (Cornell University)
Publication date
12 January 2026
Language
EN
Document type
Preprint