AI-fairness: The FairBridge Approach to Practically Bridge the Gap Between Socio-legal and Technical Perspectives

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.