VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services

Authors

  • Mariana Bernagozzi IBM
  • Biplav Srivastava AI Institute, University of South Carolina
  • Francesca Rossi IBM
  • Sheema Usmani IBM

DOI:

https://doi.org/10.1609/aaai.v35i18.17991

Keywords:

Trustworthiness In AI Services, Machine Translation, Gender Bias, Visualization

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.
AAAI-21 Proceedings Cover

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Published

2021-05-18

How to Cite

Bernagozzi, M., Srivastava, B., Rossi, F., & Usmani, S. (2021). VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15994-15996. https://doi.org/10.1609/aaai.v35i18.17991

Issue

Vol. 35 No. 18: AAAI-21 Student Papers and Demonstrations

Section

AAAI Demonstration Track