Alessandro Castelnovo

According to our database, Alessandro Castelnovo authored at least 21 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Survey on Human Resource Management Under the AI Act: Ethical, Practical, and Regulatory Perspectives.

Nicola Alboré, Alessandro Castelnovo, Matteo Della Valle, Andrea Ermellino, Luca Puggini, Silvia Tessaro

Proceedings of the 2nd Workshop on AI bias: Measurements, 2025

2024

Evaluative Item-Contrastive Explanations in Rankings.

Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli

Cogn. Comput., November, 2024

Counterfactual explanations as interventions in latent space.

Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González

Data Min. Knowl. Discov., September, 2024

Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making.

Alessandro Castelnovo

CoRR, 2024

Integrating XAI for Predictive Conflict Analytics.

Luca Macis, Marco Tagliapietra, Alessandro Castelnovo, Daniele Regoli, Greta Greco, Andrea Claudio Cosentini, Paola Pisano, Edoardo Carroccetto

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation.

Alessandro Castelnovo, Roberto Depalmas, Fabio Mercorio, Nicolò Mombelli, Daniele Potertì, Antonio Serino, Andrea Seveso, Salvatore Sorrentino, Laura Viola

Proceedings of the Explainable Artificial Intelligence, 2024

Fair Enough? A Map of the Current Limitations of the Requirements to Have Fair Algorithms (Short paper).

Daniele Regoli, Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino, Ilaria Giuseppina Penco

Proceedings of the AIxIA Discussion Papers 2024 co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024

2023

Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms.

Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino, Ilaria Giuseppina Penco, Daniele Regoli

CoRR, 2023

Leveraging Group Contrastive Explanations for Handling Fairness.

Alessandro Castelnovo, Nicole Inverardi, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso

Proceedings of the Explainable Artificial Intelligence, 2023

Bias On Demand: Investigating Bias with a Synthetic Data Generator.

Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias.

Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

An Open-Source Toolkit to Generate Biased Datasets.

Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Preserving Utility in Fair Top-k Ranking with Intersectional Bias.

Nicola Alimonda, Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023

Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper).

Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Daniele Regoli

Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2023) co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AI*IA 2023), 2023

2022

FFTree: A flexible tree to handle multiple fairness criteria.

Alessandro Castelnovo, Andrea Cosentini, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

Inf. Process. Manag., 2022

Extending Decision Tree to Handle Multiple Fairness Criteria.

Alessandro Castelnovo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users.

Riccardo Crupi, Beatriz San Miguel González, Alessandro Castelnovo, Daniele Regoli

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation.

Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini

Proceedings of 1st Workshop on Bias, 2022

2021

The zoo of Fairness metrics in Machine Learning.

Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli

CoRR, 2021

Towards Fairness Through Time.

Alessandro Castelnovo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Cosentini

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

BeFair: Addressing Fairness in the Banking Sector.

Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020