ALVAREZ, Jose Manuel
ALVAREZ, Jose Manuel
Classe di Scienze
Can We Trust Fair-AI?
2023 Ruggieri, Salvatore; Alvarez, Jose M.; Pugnana, Andrea; State, Laura; Turini, Franco
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference
2023 Alvarez, Jose Manuel; Ruggieri, Salvatore
Domain Adaptive Decision Trees: Implications for Accuracy and Fairness
2023 Alvarez, Jose Manuel; Scott, Kristen M.; Berendt, Bettina; Ruggieri, Salvatore
Fairness Implications of Encoding Protected Categorical Attributes
2023 Mougan, Carlos; Alvarez, Jose M.; Ruggieri, Salvatore; Staab, Steffen
Policy advice and best practices on bias and fairness in AI
2024 Alvarez, Jose M.; Bringas Colmenarejo, Alejandra; Elobaid, Alaa; Fabbrizzi, Simone; Fahimi, Miriam; Ferrara, Antonio; Ghodsi, Siamak; Mougan, Carlos; Papageorgiou, Ioanna; Reyero, Paula; Russo, Mayra; Scott, Kristen M.; State, Laura; Zhao, Xuan; Ruggieri, Salvatore
Predicting and explaining employee turnover intention
2022 Lazzari, Matilde; Alvarez, Jose M.; Ruggieri, Salvatore
Titolo | Data di pubblicazione | Autori | Tipo | File |
---|---|---|---|---|
Can We Trust Fair-AI? | 2023 | Alvarez, Jose M.Pugnana, AndreaState, Laura + | 4.1 Contributo in Atti di convegno | |
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference | 2023 | Alvarez, Jose Manuel + | 4.1 Contributo in Atti di convegno | |
Domain Adaptive Decision Trees: Implications for Accuracy and Fairness | 2023 | Alvarez, Jose Manuel + | 4.1 Contributo in Atti di convegno | |
Fairness Implications of Encoding Protected Categorical Attributes | 2023 | Alvarez, Jose M. + | 4.1 Contributo in Atti di convegno | |
Policy advice and best practices on bias and fairness in AI | 2024 | Alvarez, Jose M.State, Laura + | 1.1 Articolo in rivista | |
Predicting and explaining employee turnover intention | 2022 | Jose M. Alvarez + | 1.1 Articolo in rivista |