no code implementations • 27 Apr 2024 • Oubaida Chouchane, Christoph Busch, Chiara Galdi, Nicholas Evans, Massimiliano Todisco
When decisions are made and when personal data is treated by automated processes, there is an expectation of fairness -- that members of different demographic groups receive equitable treatment.
no code implementations • 27 Aug 2023 • Oubaida Chouchane, Michele Panariello, Chiara Galdi, Massimiliano Todisco, Nicholas Evans
This study investigates the impact of gender information on utility, privacy, and fairness in voice biometric systems, guided by the General Data Protection Regulation (GDPR) mandates, which underscore the need for minimizing the processing and storage of private and sensitive data, and ensuring fairness in automated decision-making systems.