On April 28, Hannah Devinney presented a talk on Gender Bias in Natural Language Processing at AI Sweden’s Swedish NLP Webinar series, which focuses on NLP development in Sweden and/or about the Swedish language.
The talk focuses on gendered aspects of “bias”: exploring what it is, how it manifests in NLP, the harms it causes, and what we as NLPers can do to combat these harms. Their presentation was followed by an engaging discussion on the nature and future of “unbiased” NLP. We hope that this talk will lead to increased awareness in the AI community of the importance of intersectional and inclusive models of gender for mitigating bias.
A recording of the talk can be found in the video embedded below.