DistilSPORT
A bias probe task investigating potential gender stereotypes in relation to sports in the distilBERT language generation model.
Github repo here.
Writing sample from our report:
"Thanks to our research into both distilBERT’s cases of gender bias and gender bias within the sporting industry, the results of our own probe into distilBERT were as expected. According to our evaluation metric, which is a point system that awards a sport when distilBERT chooses a feminine term and penalizes the sport when a masculine term is chosen, traditionally male dominated sports, such as soccer and wrestling, do indeed score low and traditionally female sports, such as dance and cheerleading, score high...the data does [indeed] support the hypothesis that the distilBERT model carries the existing cultural bias of which types of sports the genders excel at or prefer, the same cultural bias that have led to lost opportunities for and harmful stereotypes against millions of young girls across the country. A language model like distilBERT perpetuating these biases is yet another form of representational harm that we should be trying to move away from, rather than using new technologies to enforce."
WeRemember
Prototype of an app for Wellesley College students to reconnect with their campus after spending time away during the pandemic. Created as a part of a Human-Computer Interaction course in the spring of 2022.
See the iterative design process and progression of prototypes here.
Tellesley
A mobile app by Wellesley students for Wellesley students to post about campus events and updates using React Native.
Features include a Wellesley-only login, a editable profile page, and a scrolling timeline.
See a prototype to the right.
Github repo here.
