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

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dc.contributor.authorBorghesi, Andrea
dc.contributor.authorCiatto, Giovanni
dc.contributor.authorMatteini, Mattia
dc.contributor.authorCalegari, Roberta
dc.contributor.authorSartori, Laura
dc.contributor.authorRebrean, Maria
dc.contributor.authorMuller, Catelijne
dc.date.accessioned2024-12-26T21:10:17Z
dc.date.available2024-12-26T21:10:17Z
dc.date.issued2025-01-07
dc.description.abstractAddressing 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.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.777
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.otherecb22c76-64e8-48bb-8ffa-d6111d74f090
dc.identifier.urihttps://hdl.handle.net/10125/109625
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAI and Digital Discrimination
dc.subjectartificial intelligence, bias, design, fairness, multi-disciplinarity
dc.titleAI-fairness: The FairBridge Approach to Practically Bridge the Gap Between Socio-legal and Technical Perspectives
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage6499

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