Specification, Application, and Operationalization of a Metamodel of Fairness
This work addresses the challenge of operationalizing fairness definitions for researchers and practitioners in AI ethics, though it appears incremental as it builds on existing metamodeling approaches.
The paper tackled the problem of formally representing and comparing fairness scenarios by introducing the AR fairness metamodel, which enables the formal definition of fairness notions and is instantiated with examples focusing on equity vs. equality, supported by an open-source implementation called Tiles.
This paper presents the AR fairness metamodel, aimed at formally representing, analyzing, and comparing fairness scenarios. The metamodel provides an abstract representation of fairness, enabling the formal definition of fairness notions. We instantiate the metamodel through several examples, with a particular focus on comparing the notions of equity and equality. We use the Tiles framework, which offers modular components that can be interconnected to represent various definitions of fairness. Its primary objective is to support the operationalization of AR-based fairness definitions in a range of scenarios, providing a robust method for defining, comparing, and evaluating fairness. Tiles has an open-source implementation for fairness modeling and evaluation.