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cs.LG2023
Targeted Data Augmentation for bias mitigation
Agnieszka Mikołajczyk-Bareła, Maria Ferlin, Michał Grochowski
The development of fair and ethical AI systems requires careful consideration of bias mitigation, an area often overlooked or ignored. In this study, we introduce a novel and effic…
cs.LG2023
A survey on bias in machine learning research
Agnieszka Mikołajczyk-Bareła, Michał Grochowski
Current research on bias in machine learning often focuses on fairness, while overlooking the roots or causes of bias. However, bias was originally defined as a "systematic error,"…