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From the 1 of 10 linked papers with an AI index.

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20242026
most citedTowards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models

8 citations · 8 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

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…

cs.AI2026

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…

cs.AI2026

CyberAId: AI-Driven Cybersecurity for Financial Service Providers

George Fatouros, Georgios Makridis, John Soldatos +18

European financial institutions face mounting regulatory pressure while their security operations centres remain constrained not by data or staffing but by reasoning capacity: ente…

cs.AI2025

Towards Conversational AI for Human-Machine Collaborative MLOps

George Fatouros, Georgios Makridis, George Kousiouris +3

This paper presents a Large Language Model (LLM) based conversational agent system designed to enhance human-machine collaboration in Machine Learning Operations (MLOps). We introd…

cs.AI2025

VirtualXAI: A User-Centric Framework for Explainability Assessment Leveraging GPT-Generated Personas

Georgios Makridis, Vasileios Koukos, Georgios Fatouros +1

In today's data-driven era, computational systems generate vast amounts of data that drive the digital transformation of industries, where Artificial Intelligence (AI) plays a key…

cs.AI2024

FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-3

Georgios Makridis, Athanasios Oikonomou, Vasileios Koukos

In the diverse world of AI-driven storytelling, there is a unique opportunity to engage young audiences with customized, and personalized narratives. This paper introduces FairyLan…