Virtual SORS: Gender Bias and Natural Language Processing
Channel: BSC CNS
Date: 30/06/2020

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.




Speaker: Marta R. Costa-Jussà is a Ramon y Cajal Researcher at the Universitat Politècnica de Catalunya (UPC, Barcelona)


Further information here: https://www.bsc.es/research-and-development/research-seminars/virtual-sors-gender-bias-and-natural-language-processing