Original: https://ceur-ws.org/Vol-3839/ | Mirror: https://ceur-ws.wikidata.dbis.rwth-aachen.de/Vol-3839/ | Year: 2024

Vol-3839
urn:nbn:de:0074-3839-8

Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under https://creativecommons.org/licenses/by/4.0/.

XAI.it 2024

Proceedings of the 5th Italian Workshop on Explainable Artificial Intelligence
co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence

Bolzano, Italy,November 26-27, 2024.

Edited by

Marco Polignano
Cataldo Musto
Roberto Pellungrini
Erasmo Purificato
Giovanni Semeraro
Mattia

Table of Contents

PDF
XAI.it 2024: An Overview on the Future of AI in the Era of Large Language Models 1-10 PDF
Cataldo Musto, Giovanni Semeraro, Erasmo Purificato, Mattia Setzu, Roberto Pellungrini, Marco Polignano
A Comprehensive Strategy to Bias and Mitigation in Human Resource Decision Systems 11-27 PDF
Mishal Kizhakkam Kulangara, Ernesto William De Luca, Het Darshan Mehta, Silvia D'Amicantonio, Marco Levantesi, Erasmo Purificato, Shalini Pal, Marco Polignano
An Analysis on How Pre-Trained Language Models Learn Different Aspects 28-41 PDF
Luca Putelli, Nicola Arici, Ejdis Gjinika, Alfonso Gerevini, Ivan Serina
Ethical AI Systems and Shared Accountability: The Role of Economic Incentives in Fairness and Explainability 42-49 PDF
Caterina Giannetti, Dae-Hyun Yoo
ExplainBattery: Enhancing Battery Capacity Estimation with an Efficient LSTM Model and Explainability Features 50-64 PDF
Erasmo Purificato, Leonardo Dal Ronco
Using LLMs to explain AI-generated art classification via Grad-CAM heatmaps 65-74 PDF
Gennaro Vessio, Gianluca Zaza, Raffaele Scaringi, Maria Grazia Miccoli, Giovanna Castellano
Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation 75-89 PDF
Zhuofan Zhang, Herbert Wiklicky

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