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

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.

parole chiave   AI and Digital Discrimination, artificial intelligence, bias, design, fairness, multi-disciplinarity

presentazione di riferimento

 AI-fairness: the FAIRBRIDGE approach to practically bridge the gap between socio-legal and technical perspectives (HICSS-58, 04/01/2025) — Mattia Matteini (Giovanni Ciatto, Mattia Matteini, Laura Sartori, Maria Rebrean, Catelijne Muller, Andrea Borghesi, Roberta Calegari)

evento origine

 HICSS-58

progetto finanziatore

 AEQUITAS — Assessment and Engineering of eQuitable, Unbiased, Impartial and Trustworthy Ai Systems (01/11/2022–31/10/2025)

 FAIR-PE01-SP08 — Future AI Research – Partenariato Esteso sull'Intelligenza Artificiale – Spoke 8 “Pervasive AI” (01/01/2023–31/12/2025)

pubblicazione di riferimento per presentazione

 AI-fairness: the FAIRBRIDGE approach to practically bridge the gap between socio-legal and technical perspectives (HICSS-58, 04/01/2025) — Mattia Matteini (Giovanni Ciatto, Mattia Matteini, Laura Sartori, Maria Rebrean, Catelijne Muller, Andrea Borghesi, Roberta Calegari)