AI-fairness: the FAIRBRIDGE approach to practically bridge the gap between socio-legal and technical perspectives

Maria-Lucia Rebrean, Giovanni Ciatto, Mattia Matteini, Laura Sartori, Catelijne Muller, Andrea Borghesi, Roberta Calegari

Abstract: Addressing the need for AI systems free from discrimination requires a multidisciplinary approach that combines social, legal, and technical perspectives. Despite significant advancements in research and technical solutions, a gap remains between socio-legal and technical approaches. This paper proposes a meta-methodology-namely, FAIRBRIDGE-to bridge this gap, offering a reference for defining AI fairness methodologies that integrate all three perspectives. The meta-methodology utilizes a questionnaire-based system where socio-legal and technical domain experts iteratively refine questions and responses, supported by automation.