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arXiv · 2603.01235

Extended Empirical Validation of the Explainability Solution Space

Antoni Mestre·Manoli Albert·Miriam Gil·Vicente Pelechano
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Abstract

This technical report provides an extended validation of the Explainability Solution Space (ESS) through cross-domain evaluation. While initial validation focused on employee attrition prediction, this study introduces a heterogeneous intelligent urban resource allocation system to demonstrate the generality and domain-independence of the ESS framework. The second case study integrates tabular, temporal, and geospatial data under multi-stakeholder governance conditions. Explicit quantitative positioning of representative XAI families is provided for both contexts. Results confirm that ESS rankings are not domain-specific but adapt systematically to governance roles, risk profiles, and stakeholder configurations. The findings reinforce ESS as a generalizable operational decision-support instrument for explainable AI strategy design across socio-technical systems.

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Antoni Mestre, Manoli Albert, Miriam Gil, Vicente Pelechano. 2026-03-01. Extended Empirical Validation of the Explainability Solution Space. https://arxiv.org/abs/2603.01235

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