Accepted Papers
The following papers have been accepted for presentation at the workshop:
LONG PAPERS
Xinghan Liu and Emiliano Lorini: "Logics for Binary-input Classifiers and Their Explanations"
Daniele Fossemò, Filippo Mignosi, Luca Raggioli, Matteo Spezialetti and Fabio D'Asaro: "Using Inductive Logic Programming to globally approximate Neural Networks for preference learning: challenges and preliminary results"
Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli and Andrea Cosentini: "Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation"
Melissa Antonelli: "Two Remarks on Counting Propositional Logic"
Alessandro Castelnovo, Lorenzo Malandri, Fabio Mercorio and Mario Mezzanzanica: "Towards Fairness Through Time"
Giuseppe Primiero and Fabio Aurelio D'Asaro: "Proof-checking bias in labeling methods"
SHORT PAPERS
Mattia Petrolo and Ekaterina Kubyshkina: "Reasoning about algorithmic opacity"
Serge Dolgikh: "Fairness and Bias in Learning Systems: a Generative Perspective"
Alexander Berman, Ellen Breitholtz, Christine Howes and Jean-Philippe Bernardy: "Explaining predictions with enthymematic counterfactuals information"
Aleks Knoks and Thomas Raleigh: "XAI and philosophical work on explanation: A survey"
Silvana Badaloni and Antonio Rodà: "Gender knowledge and Artificial Intelligence"
Andrea Apicella, Francesco Isgrò and Roberto Prevete: "XAI approach for addressing the dataset shift problem: BCI as a case study"
Muhammad Suffian and Alessandro Bogliolo: "Investigation and Mitigation of Bias in Explainable AI"