Generative AI systems across modalities, ranging from text, image, audio...
Bias research in NLP seeks to analyse models for social biases, thus hel...
Progress in NLP is increasingly measured through benchmarks; hence,
cont...
In this paper, we examine computational approaches for measuring the
"fa...
As automated decision making and decision assistance systems become comm...
Participants in political discourse employ rhetorical strategies – such ...
There are many ways to express similar things in text, which makes evalu...
If the authors of a recent Stanford report (Bommasani et al., 2021) on t...
Despite inextricable ties between race and language, little work has
con...
Educational technologies, and the systems of schooling in which they are...
At the Workshop on Gender Bias in NLP (GeBNLP), we'd like to encourage
a...
We survey 146 papers analyzing "bias" in NLP systems, finding that their...
Dependency parsing research, which has made significant gains in recent
...
We highlight an important frontier in algorithmic fairness: disparity in...
Though dialectal language is increasingly abundant on social media, few
...
We explore two techniques which use color to make sense of statistical t...