… particularly challenging given the complex way gender ideology is embedded in language.
… of gender bias in training data for machine learning. The work draws upon gender theory and …

… One of the better-known examples of the type of paradox arose during the gender bias
lawsuit in university admissions against UC Berkeley [16]. After analyzing graduate school …

… , like, or expect, thus the portrayal of gender roles in blockbuster movies has a … gender
stereotypes (Ward and Grower, 2020). Thus, in our work, we aim to study and analyse gender bias …

… gender bias into three separate dimensions: bias when speaking ABOUT someone, bias
when speaking TO someone, and bias … A machine learning model, then, would be unable to …

… for, gender bias has been conceptualized differently across studies. To date, gender bias in
… In this paper, we intend to put such literature to use for the study of gender bias in MT. We …

… the severity of gender bias, we note that … gender bias introduced by the machine learning
process itself. As part of the study’s procedure, participants were asked to provide their gender …

… ’ race or ethnicity, which is another potential dimension of review bias. Future studies can
investigate the possibility of racial and gender bias. Third, in our data, sanctioned physicians’ …

… news content can be analyzed on a large scale utilizing natural language processing (NLP)
techniques from machine learning (ML) to discover both implicit and explicit gender biases. …

… AI/machine learning (ML) and gender bias has also … exhibiting stereotypical biases–-including
gender bias–in ML … correct possible gender bias in many machine learning algorithms…

… Google Translate’s new feminine and masculine forms for translated sentences exemplifies
how, as this paper also suggests, machine learning translation tools can be debiased, …