A Luxembourgish corpus as a Gender Bias Evaluation Testset

Authors

Anastasiou D., Gallais M., Blond-Hanten C.

Reference

2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings, pp. 784-788, 2024

Description

According to the United Nations Development Programme, gender inequality is a metric that is composed of three dimensions: reproductive health, empowerment, and the labour market. Gender inequality remains major obstacle to equal opportunities in society as a whole. 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.