activity
20232025
most citedMind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI

1 citations · 2 across the 8 of their papers we have counts for

collaborators

10 papers

cs.NI2025

Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database

Vasilis Andritsoudis, Pavlos Sermpezis, Ilias Dimitriadis +1

The Internet Yellow Pages (IYP) aggregates information from multiple sources about Internet routing into a unified, graph-based knowledge base. However, querying it requires knowle…

cs.AI2025

AI Harmonics: a human-centric and harms severity-adaptive AI risk assessment framework

Sofia Vei, Paolo Giudici, Pavlos Sermpezis +2

The absolute dominance of Artificial Intelligence (AI) introduces unprecedented societal harms and risks. Existing AI risk assessment models focus on internal compliance, often neg…

cs.LG2025★ 1 cited

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI

Eva Paraschou, Ioannis Arapakis, Sofia Yfantidou +2

Artificial Intelligence (AI) is rapidly embedded in critical decision-making systems, however their foundational ``black-box'' models require eXplainable AI (XAI) solutions to enha…

cs.CY2025

Ties of Trust: a bowtie model to uncover trustor-trustee relationships in LLMs

Eva Paraschou, Maria Michali, Sofia Yfantidou +3

The rapid and unprecedented dominance of Artificial Intelligence (AI), particularly through Large Language Models (LLMs), has raised critical trust challenges in high-stakes domain…

cs.CY2025

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines

Athena Vakali, Ilias Dimitriadis

AI models have become active decision makers, often acting without human supervision. The rapid advancement of AI technology has already caused harmful incidents that have hurt ind…

cs.CL2025

AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI

Pavlos Sermpezis, Stelios Karamanidis, Eva Paraschou +7

Political discourse datasets are important for gaining political insights, analyzing communication strategies or social science phenomena. Although numerous political discourse cor…

cs.CY2024

Towards Hybrid Intelligence in Journalism: Findings and Lessons Learnt from a Collaborative Analysis of Greek Political Rhetoric by ChatGPT and Humans

Thanasis Troboukis, Kelly Kiki, Antonis Galanopoulos +4

This chapter introduces a research project titled "Analyzing the Political Discourse: A Collaboration Between Humans and Artificial Intelligence", which was initiated in preparatio…

cs.LG2024

Using Self-supervised Learning Can Improve Model Fairness

Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +3

Self-supervised learning (SSL) has become the de facto training paradigm of large models, where pre-training is followed by supervised fine-tuning using domain-specific data and la…

cs.LG2024★ 1 cited

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data

Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +3

Self-supervised learning (SSL) has become the de facto training paradigm of large models where pre-training is followed by supervised fine-tuning using domain-specific data and lab…

cs.HC2023

Negotiation Strategies in Ubiquitous Human-Computer Interaction: A Novel Storyboards Scale & Field Study

Sofia Yfantidou, Georgia Yfantidou, Panagiota Balaska +1

In today's connected society, self-tracking technologies (STTs), such as wearables and mobile fitness apps, empower humans to improve their health and well-being through ubiquitous…