Giovanni Ciatto,
Mattia Matteini, Laura Sartori, Maria Rebrean, Catelijne Muller, Andrea Borghesi,
Roberta Calegari
Proceedings of the 58th Hawaii International Conference on System Sciences
2025
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.