Publications
A Luxembourgish corpus as a Gender Bias Evaluation Testset
In this paper we present our work-in-progress of designing and playing a physical game
with digital elements. We are currently conducting Conversation Analysis of transcribed speech of 58567 words and documenting bias. We are also testing OpenAI’s ChatGPT for bias in gender-related quiz questions.
Fairness In Teaching. How to support fair education to increase the representation
of girls in STEM
The Fairness In Teaching (FIT) project aims to improve fair
teaching practices, especially in STEM disciplines, thereby
providing equal opportunities and access to STEM across a
diverse range of pupils (boys and girls, the less-privileged, etc.).