1 code implementation • 10 Sep 2023 • Amanda Aird, Cassidy All, Paresha Farastu, Elena Stefancova, Joshua Sun, Nicholas Mattei, Robin Burke
Fairness problems in recommender systems often have a complexity in practice that is not adequately captured in simplified research formulations.
no code implementations • 2 Mar 2023 • Amanda Aird, Paresha Farastu, Joshua Sun, Elena Štefancová, Cassidy All, Amy Voida, Nicholas Mattei, Robin Burke
Algorithmic fairness in the context of personalized recommendation presents significantly different challenges to those commonly encountered in classification tasks.
no code implementations • 8 Sep 2022 • Paresha Farastu, Nicholas Mattei, Robin Burke
The concern is that a bossy user may be able to shift the cost of fairness to others, improving their own outcomes and worsening those for others.
no code implementations • 21 Nov 2021 • Fardin Saad, Hasan Mahmud, Mohammad Ridwan Kabir, Md. Alamin Shaheen, Paresha Farastu, Md. Kamrul Hasan
We employed three Emotional Speech Sets (ESS), of which the first two were developed by native Bengali speakers in Bangla and English languages separately.