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The AR Fairness Metamodel: A Structured Framework for Fairness Measures
This paper presents the AR fairness metamodel, a framework designed to represent, analyze, and compare different fairness scenarios. The metamodel considers key elements, such as agents, resources, and their attributes, and enables the systematic definition and comparison of various fairness measures. We provide examples involving both discrete and continuous measures, including equality, equity, group fairness, individual fairness, the Gini index, the Theil index, Jain's fairness index, and a detailed fairness measure for Australia's Child Care Subsidy. We also explore relationships among gro
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T16:00:34.000Z
- arXiv · Artificial Intelligence · 2026-09-16T16:00:34.000Z
First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.