The human resources field faces increasing challenges related to social sustainability and the adoption of Sustainable Human Resource Management (SHRM) principles. Recruitment practices play a crucial role in this process, as job advertisements represent the first stage in shaping an inclusive workforce. While artificial intelligence (AI) technologies are increasingly applied in recruitment processes, most existing tools focus primarily on gender discrimination, often overlooking other relevant dimensions of diversity and inclusion (D&I). This study explores how an AI-based framework grounded in European legislation can support the detection and prevention of discriminatory content in job advertisements (JobAds). The framework combines the development of regulatory guidelines with the design of a Generative AI-based JobAd screening tool to identify potential non-compliance before publication. Validation results from analysing 200 JobAds highlight the potential of AI-assisted screening to support inclusive recruitment practices by reducing human bias, improving efficiency, and strengthening compliance with D&I standards within SHRM.

Calabrese, A., Carrino, S., Costa, R., Roberti, E., Tiburzi, L. (2026). Exploring the Impact of Generative AI in Detecting Biases and Discrimination in Job Advertisements. CORPORATE SOCIAL-RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT [10.1002/csr.70618].

Exploring the Impact of Generative AI in Detecting Biases and Discrimination in Job Advertisements

Calabrese, Armando;Carrino, Sofia;Costa, Roberta
;
Roberti, Eugenio;Tiburzi, Luigi
2026-01-01

Abstract

The human resources field faces increasing challenges related to social sustainability and the adoption of Sustainable Human Resource Management (SHRM) principles. Recruitment practices play a crucial role in this process, as job advertisements represent the first stage in shaping an inclusive workforce. While artificial intelligence (AI) technologies are increasingly applied in recruitment processes, most existing tools focus primarily on gender discrimination, often overlooking other relevant dimensions of diversity and inclusion (D&I). This study explores how an AI-based framework grounded in European legislation can support the detection and prevention of discriminatory content in job advertisements (JobAds). The framework combines the development of regulatory guidelines with the design of a Generative AI-based JobAd screening tool to identify potential non-compliance before publication. Validation results from analysing 200 JobAds highlight the potential of AI-assisted screening to support inclusive recruitment practices by reducing human bias, improving efficiency, and strengthening compliance with D&I standards within SHRM.
2026
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore IEGE-01/A - Ingegneria economico-gestionale
English
Con Impact Factor ISI
diversity and inclusion (D&I)
generative AI
human resources (HR)
job advertisement (JobAds)
sustainable HRM (SHRM)
Calabrese, A., Carrino, S., Costa, R., Roberti, E., Tiburzi, L. (2026). Exploring the Impact of Generative AI in Detecting Biases and Discrimination in Job Advertisements. CORPORATE SOCIAL-RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT [10.1002/csr.70618].
Calabrese, A; Carrino, S; Costa, R; Roberti, E; Tiburzi, L
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/464884
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