Listado de publicacións

TítuloA Framework for Analyzing Fairness, Accountability, Transparency and Ethics: A Use-case in Banking Services
AutoresEttore Mariotti, Jose M. Alonso, Roberto Confalonieri
TipoComunicación para congreso
Fonte 2021 IEEE International Conference on Fuzzy Systems, Luxemburo, Luxemburgo, 2021.
AbstractWe introduce a novel framework to deal with fairness, accountability and explainability of intelligent systems. This framework puts together several tools to deal with bias at the level of data, algorithms and human cognition. The framework makes use of intelligent classifiers endowed with fuzzy-grounded linguistic explainability. As a result, it facilitates the exhaustive comparison of (white/grey/black)-box modelling techniques in combination with different strategies for handling missing values and unbalanced datasets. The proposal is evaluated on a real-world dataset in the context of banking services and reported results are encouraging.