José M. Álvarez

According to our database, José M. Álvarez authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

Privilege Scores.

Ludwig Bothmann, Philip A. Boustani, José M. Álvarez, Giuseppe Casalicchio, Bernd Bischl, Susanne Dandl

CoRR, February, 2025

Counterfactual Situation Testing: From Single to Multidimensional Discrimination.

José M. Álvarez, Salvatore Ruggieri

J. Artif. Intell. Res., 2025

The Initial Screening Order Problem.

José M. Álvarez, Antonio Mastropietro, Salvatore Ruggieri

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

A Causal Framework for Evaluating Deferring Systems.

Filippo Palomba, Andrea Pugnana, José M. Álvarez, Salvatore Ruggieri

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Policy advice and best practices on bias and fairness in AI.

José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri

Ethics Inf. Technol., June, 2024

Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing.

José M. Álvarez, Salvatore Ruggieri

CoRR, 2024

Causal Perception.

José M. Álvarez, Salvatore Ruggieri

CoRR, 2024

Policy Advice and Best Practices on Bias and Fairness in Artificial Intelligence.

José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, Simone Fabbrizzi, Miriam Fahimi, Antonio Ferrara, Siamak Ghodsi, Carlos Mougan, Ioanna Papageorgiou, Paula Reyero Lobo, Mayra Russo, Kristen M. Scott, Laura State, Xuan Zhao, Salvatore Ruggieri

Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024

2023

Domain Adaptive Decision Trees: Implications for Accuracy and Fairness.

José M. Álvarez, Kristen M. Scott, Bettina Berendt, Salvatore Ruggieri

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

Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference.

José M. Álvarez, Salvatore Ruggieri

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Fairness Implications of Encoding Protected Categorical Attributes.

Carlos Mougan, José M. Álvarez, Salvatore Ruggieri, Steffen Staab

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Can We Trust Fair-AI?

Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, Laura State, Franco Turini

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Predicting and explaining employee turnover intention.

Matilde Lazzari, José M. Álvarez, Salvatore Ruggieri

Int. J. Data Sci. Anal., 2022

Fairness implications of encoding protected categorical attributes.

Carlos Mougan, José M. Álvarez, Gourab K. Patro, Salvatore Ruggieri, Steffen Staab

CoRR, 2022