Exploring the Impact of Generative <scp>AI</scp> in Detecting Biases and Discrimination in Job Advertisements

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&amp;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&amp;I standards within SHRM.