Alessandro Castelnovo

26 papers A* 2Journal 10Unranked 13
YearRankTypeTitle / Venue / Authors
2025 — conf
A Survey on Human Resource Management Under the AI Act: Ethical, Practical, and Regulatory Perspectives.
AIMMES
Nicola Alboré, Alessandro Castelnovo, Matteo Della Valle, Andrea Ermellino, Luca Puggini, Silvia Tessaro
2024 — conf
Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation.
xAI (1)
Alessandro Castelnovo, Roberto Depalmas, Fabio Mercorio, Nicolò Mombelli, Daniele Potertì, Antonio Serino, Andrea Seveso, Salvatore Sorrentino, Laura Viola
2024 J jnl
Counterfactual explanations as interventions in latent space.
Data Min. Knowl. Discov.
Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González
2024 J jnl
Evaluative Item-Contrastive Explanations in Rankings.
Cogn. Comput.
Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli
2024 — conf
Fair Enough? A Map of the Current Limitations of the Requirements to Have Fair Algorithms (Short paper).
DP@AI*IA
Daniele Regoli, Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino, Ilaria Giuseppina Penco
2024 — conf
Integrating XAI for Predictive Conflict Analytics.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Luca Macis, Marco Tagliapietra, Alessandro Castelnovo, Daniele Regoli, Greta Greco, Andrea Claudio Cosentini, Paola Pisano, Edoardo Carroccetto
2024 J jnl
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making.
CoRR
Alessandro Castelnovo
2024 — —
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making.
Alessandro Castelnovo
2023 — conf
An Open-Source Toolkit to Generate Biased Datasets.
EWAF
Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
2023 A* conf
Bias On Demand: Investigating Bias with a Synthetic Data Generator.
IJCAI
Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
2023 — conf
Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias.
FAccT
Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli
2023 J jnl
Evaluative Item-Contrastive Explanations in Rankings.
CoRR
Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli
2023 J jnl
Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms.
CoRR
Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino, Ilaria Giuseppina Penco, Daniele Regoli
2023 — conf
Leveraging Group Contrastive Explanations for Handling Fairness.
xAI (3)
Alessandro Castelnovo, Nicole Inverardi, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso
2023 — conf
Marrying LLMs with Domain Expert Validation for Causal Graph Generation (short paper).
AIABI@AI*IA
Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Daniele Regoli
2023 — conf
Preserving Utility in Fair Top-k Ranking with Intersectional Bias.
BIAS
Nicola Alimonda, Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica
2022 A* conf
Extending Decision Tree to Handle Multiple Fairness Criteria.
IJCAI
Alessandro Castelnovo
2022 J jnl
FFTree: A flexible tree to handle multiple fairness criteria.
Inf. Process. Manag.
Alessandro Castelnovo, Andrea Cosentini, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica
2022 — conf
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation.
BEWARE@AI*IA
Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini
2022 J jnl
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation.
CoRR
Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini
2022 — conf
Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users.
ICAART (2)
Riccardo Crupi, Beatriz San Miguel González, Alessandro Castelnovo, Daniele Regoli
2021 J jnl
BeFair: Addressing Fairness in the Banking Sector.
CoRR
Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González
2021 J jnl
Counterfactual Explanations as Interventions in Latent Space.
CoRR
Riccardo Crupi, Alessandro Castelnovo, Daniele Regoli, Beatriz San Miguel González
2021 J jnl
The zoo of Fairness metrics in Machine Learning.
CoRR
Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli
2021 — conf
Towards Fairness Through Time.
PKDD/ECML Workshops (1)
Alessandro Castelnovo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Cosentini
2020 — conf
BeFair: Addressing Fairness in the Banking Sector.
IEEE BigData
Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González