VEGA: A Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-Offs in AI Translation Services
Abstract
Machine translation services are a very popular class of Artificial Intelligence (AI) services nowadays but public's trust in these services is not guaranteed since they have been shown to have issues like bias. In this work, we focus on the behavior of machine translators with respect to gender bias as well as their accuracy. We have created the first-of-its-kind virtual environment, called VEGA, where the user can interactively explore translation services and compare their trust ratings using different visuals.
Cite
Text
Bernagozzi et al. "VEGA: A Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-Offs in AI Translation Services." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.17991Markdown
[Bernagozzi et al. "VEGA: A Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-Offs in AI Translation Services." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/bernagozzi2021aaai-vega/) doi:10.1609/AAAI.V35I18.17991BibTeX
@inproceedings{bernagozzi2021aaai-vega,
title = {{VEGA: A Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-Offs in AI Translation Services}},
author = {Bernagozzi, Mariana and Srivastava, Biplav and Rossi, Francesca and Usmani, Sheema},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2021},
pages = {15994-15996},
doi = {10.1609/AAAI.V35I18.17991},
url = {https://mlanthology.org/aaai/2021/bernagozzi2021aaai-vega/}
}