View a PDF of the paper titled Extended Empirical Validation of the Explainability Solution Space, by Antoni Mestre and Manoli Albert and Miriam Gil and Vicente Pelechano
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.
Submission history
From: Antoni Mestre [view email]
[v1]
Sun, 1 Mar 2026 19:13:21 UTC (7 KB)
[v2]
Sat, 7 Mar 2026 14:07:27 UTC (14 KB)