178 citations · 196 across the 7 of their papers we have counts for
3 papers · 1 filter
Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models
Georgios Makridis, Georgios Fatouros, Athanasios Kiourtis +4
In this paper, we present a comprehensive framework for assessing the explainability of various XAI methods, such as LIME and SHAP, across multiple datasets and machine learning mo…
Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI
Georgios Makridis, Georgios Fatouros, John Soldatos +2
Financial institutions increasingly require AI explanations that are persistent, cross-validated across methods, and conversationally accessible to human decision-makers. We presen…
Native Explainability for Bayesian Confidence Propagation Neural Networks: A Framework for Trusted Brain-Like AI
Georgios Makridis, Georgios Fatouros, John Soldatos +2
The EU Artificial Intelligence Act (Regulation 2024/1689), fully applicable to high-risk systems from August 2026, creates urgent demand for AI architectures that are simultaneousl…