ML Symposium .pdf (4.32 MB)
GenderTron: exploring implicit gender bias
presentation
posted on 2018-03-29, 02:35 authored by Hannah KorsmeyerHow can we use machine learning to provoke new conversations about gender?
This talk will discuss a project that questioned the role of technology and design within complex social issues like gender inequality. Drawing from feminist theory and linguistics algorithms, this project developed a research device that monitored spoken ‘gendered language’ within a space and revealed these patterns back to users in real time. This device was implemented in a variety of settings and assessed through the interviews and documentary film. In addition to serving as a heuristic learning tool to generate complex discussions about gender identity, this device explored what additional research value can be gained when turning quantitative data into a qualitative experience.
This talk will discuss a project that questioned the role of technology and design within complex social issues like gender inequality. Drawing from feminist theory and linguistics algorithms, this project developed a research device that monitored spoken ‘gendered language’ within a space and revealed these patterns back to users in real time. This device was implemented in a variety of settings and assessed through the interviews and documentary film. In addition to serving as a heuristic learning tool to generate complex discussions about gender identity, this device explored what additional research value can be gained when turning quantitative data into a qualitative experience.
