Analysis of Gender Bias studies in Natural Language Processing

In February 26th, Marta Costa-Jussa was invited to give a talk in AI4EU web café. The presentation was about how demographic biases are widely affecting artificial intelligence. In particular, gender bias is clearly spread in natural language processing applications, e.g. from stereotyped translations to poorer speech recognition for women than for men. In this talk, I am going to overview the research and challenges that are currently emerging towards fairer natural language processing in terms of gender.

The talk was recorded and it is accessible via this link (requires registration).