Gender biases have been documented in many areas including hiring, promotion, or performance evaluations. Many of these decisions are made by committees. We experimentally investigate whether committee deliberation contributes to gender biases. In our experiments, participants perform a real effort task and then rate the other participants. Across treatments we vary extent possible. find that i...

Abstract Machine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, processing, and communicating information. However, it can suffer from biases that harm users society at large. As a relatively new field of inquiry, studies gender bias in MT still lack cohesion. This advocates unified framework to ease future research. To this end, we:...

I study the impact of online instruction on teaching evaluations at a higher education institution in Spain. Using difference-in-differences approach, show that semester when moved online, female lecturers were evaluated more poorly than previous semesters. The performance male was not impacted by new environment, according to student opinion. rule out several mechanisms: for example, poorer ad...

In this work, we analyze the gender bias induced by BERT in downstream tasks. We also propose solutions to reduce bias. Contextual language models (CLMs) have pushed NLP benchmarks a new height. It has become norm utilize CLM-provided word embeddings tasks such as text classification. However, unless addressed, CLMs are prone learn intrinsic dataset. As result, predictions of can vary noticeabl...