The AR Fairness Metamodel: A Structured Framework for Fairness Measures

The AR Fairness Metamodel introduces a structured framework designed to represent, analyze, and compare various fairness scenarios across different domains. By focusing on agents, resources, and their attributes, the model facilitates a systematic approach to defining and evaluating diverse fairness measures, including both discrete and continuous metrics like equality, equity, and specific indices.

This framework offers a critical tool for organizations grappling with fairness considerations in data-driven decision-making and resource allocation. It provides a standardized method to define, compare, and implement fairness measures, thereby enhancing transparency and accountability in technological and policy deployments.

The AR fairness metamodel provides a structured approach for representing and analyzing different fairness scenarios.

Forward consideration, not a verified fact.