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People are not Binary: Embracing Complexity in Algorithmic Bias Research

Time Friday 5 March, 2021 at 12:15 - 13:00
Place Online via Zoom

Bias in Natural Language Processing is the subject of a growing amount of attention, both in scientific research and in media. Like language itself, NLP has significant impacts on our lives and is incorporated into many other AI applications. It is tempting to use simplifications, such as assuming that gender and sex are binary and correlate absolutely, to make calculations easier. However, these assumptions come from and perpetuate oppressive norms. This talk will discuss the current state and trajectory of "gender bias" research in NLP. We will also explore what we can gain from incorporating strategies and knowledge from fields focused on understanding oppression, in particular Feminist, Black Feminist, and Queer Theories.

To participate in the seminar #frAIday, please register here. We will send you a link to the Zoom event. 

Event type: Lecture
Staff photo Hannah Devinney
Hannah Devinney
Doctoral student
Read about Hannah Devinney