% Please, use a consistent format for bibliographic references
% E.g., the condensed format of https://dblp.org/

@article{DBLP:journals/ethicsit/AlvarezCEFFFGMPLRSSZR24,
  author       = {Jos{\'{e}} M. {\'{A}}lvarez and
                  Alejandra Bringas Colmenarejo and
                  Alaa Elobaid and
                  Simone Fabbrizzi and
                  Miriam Fahimi and
                  Antonio Ferrara and
                  Siamak Ghodsi and
                  Carlos Mougan and
                  Ioanna Papageorgiou and
                  Paula Reyero Lobo and
                  Mayra Russo and
                  Kristen M. Scott and
                  Laura State and
                  Xuan Zhao and
                  Salvatore Ruggieri},
  title        = {Policy advice and best practices on bias and fairness in {AI}},
  journal      = {Ethics Inf. Technol.},
  volume       = {26},
  number       = {2},
  pages        = {31},
  year         = {2024}
}

@inproceedings{DBLP:conf/aaai/Ruggieri0PST23,
  author       = {Salvatore Ruggieri and
                  Jos{\'{e}} M. {\'{A}}lvarez and
                  Andrea Pugnana and
                  Laura State and
                  Franco Turini},
  title        = {Can We Trust Fair-{AI}?},
  booktitle    = {{AAAI}},
  pages        = {15421--15430},
  publisher    = {{AAAI} Press},
  year         = {2023}
}

@article{DBLP:journals/datamine/GuidottiMRNTPG24,
  author       = {Riccardo Guidotti and
                  Anna Monreale and
                  Salvatore Ruggieri and
                  Francesca Naretto and
                  Franco Turini and
                  Dino Pedreschi and
                  Fosca Giannotti},
  title        = {Stable and actionable explanations of black-box models through factual
                  and counterfactual rules},
  journal      = {Data Min. Knowl. Discov.},
  volume       = {38},
  number       = {5},
  pages        = {2825--2862},
  year         = {2024}
}

@inproceedings{CST23,
  author       = {Jos{\'{e}} M. {\'{A}}lvarez and
                  Salvatore Ruggieri},
  title        = {Counterfactual Situation Testing: Uncovering Discrimination under
                  Fairness given the Difference},
  booktitle    = {{EAAMO}},
  pages        = {2:1--2:11},
  publisher    = {{ACM}},
  year         = {2023}
}

@article{DBLP:journals/corr/abs-2401-12708,
  author       = {Andrea Pugnana and
                  Lorenzo Perini and
                  Jesse Davis and
                  Salvatore Ruggieri},
  title        = {Deep Neural Network Benchmarks for Selective Classification},
  journal      = {CoRR},
  volume       = {abs/2401.12708},
  year         = {2024}
}

@article{DBLP:journals/corr/abs-2410-10502,
  author       = {Martina Cinquini and
                  Isacco Beretta and
                  Salvatore Ruggieri and
                  Isabel Valera},
  title        = {A Practical Approach to Causal Inference over Time},
  journal      = {CoRR},
  volume       = {abs/2410.10502},
  year         = {2024}
}

@inproceedings{DBLP:conf/bigdataconf/ZhaoBRK23,
  author       = {Xuan Zhao and
                  Klaus Broelemann and
                  Salvatore Ruggieri and
                  Gjergji Kasneci},
  title        = {Causal Fairness-Guided Dataset Reweighting using Neural Networks},
  booktitle    = {{IEEE} Big Data},
  pages        = {1386--1394},
  publisher    = {{IEEE}},
  year         = {2023}
}

@inproceedings{DBLP:conf/xai/StateRT23,
  author       = {Laura State and
                  Salvatore Ruggieri and
                  Franco Turini},
  title        = {Reason to Explain: Interactive Contrastive Explanations {(REASONX)}},
  booktitle    = {xAI {(1)}},
  series       = {Communications in Computer and Information Science},
  volume       = {1901},
  pages        = {421--437},
  publisher    = {Springer},
  year         = {2023}
}

@article{DBLP:journals/ijdsa/LazzariAR22,
  author       = {Matilde Lazzari and
                  Jos{\'{e}} M. {\'{A}}lvarez and
                  Salvatore Ruggieri},
  title        = {Predicting and explaining employee turnover intention},
  journal      = {Int. J. Data Sci. Anal.},
  volume       = {14},
  number       = {3},
  pages        = {279--292},
  year         = {2022}
}