no code implementations • 16 Sep 2022 • Guilherme Alves, Fabien Bernier, Miguel Couceiro, Karima Makhlouf, Catuscia Palamidessi, Sami Zhioua
Fairness requirements to be satisfied while learning models created several types of tensions among the different notions of fairness and other desirable properties such as privacy and classification accuracy.
no code implementations • 5 Aug 2021 • Guilherme Alves, Maxime Amblard, Fabien Bernier, Miguel Couceiro, Amedeo Napoli
Unintended biases in machine learning (ML) models are among the major concerns that must be addressed to maintain public trust in ML.