Oscar Sainz, Iker García-ferrero, et al.
ACL 2024
Trustworthy artificial intelligence researchers should seek to better detect and characterize systematic deviations in data and models (that is, bias). This article provides data scientists with motivation, theory, code, and examples on how to perform disciplined discovery of systematic deviations in data and models at the subset level.
Oscar Sainz, Iker García-ferrero, et al.
ACL 2024
Wojciech Ozga, Do Le Quoc , et al.
IFIP DBSec 2021
Jiawei Zhou, Tahira Naseem, et al.
NAACL 2021
Seung Gu Kang, Jeff Weber, et al.
ACS Fall 2023