AI-fairness: The FairBridge Approach to Practically Bridge the Gap Between Socio-legal and Technical Perspectives
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Date
2025-01-07
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6499
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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.
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AI and Digital Discrimination, artificial intelligence, bias, design, fairness, multi-disciplinarity
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10
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Proceedings of the 58th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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