TRANSLATION BIAS IN ARTIFICIAL INTELLIGENCE POSSIBLE TITLE: GENDER AND CULTURAL BIAS IN AI-BASED TRANSLATION SYSTEMS: EVIDENCE FROM ENGLISH–UZBEK TRANSLATION

Authors

  • Dilafruz Mukhiddinova Kokand, Ferghana region, Uzbekistan Kokand state university Faculty of Foreign Philology Senior teacher Chair of Foreign Languages Theory

DOI:

https://doi.org/10.5281/

Keywords:

artificial intelligence, machine translation, gender bias, cultural bias, English–Uzbek translation, large language models, translation ethics

Abstract

AI-powered translation has rapidly changed how we communicate across different languages, making it incredibly fast and easy to get words understood. However, even with big leaps forward in how these systems learn and work, they still hit snags when it comes to social, cultural, and gender fairness.

References

1. Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

2. Savoldi, B., Gaido, M., Bentivogli, L., Negri, M., & Turchi, M. (2021). Gender Bias in Machine Translation.

3. Costa-jussà, M. R. (2021). Gender Bias in Machine Translation.

4. Blodgett, S. L., Barocas, S., Daumé III, H., & Wallach, H. (2020). Language (Technology) is Power: A Critical Survey of “Bias” in NLP.

5. Koehn, P. (2020). Neural Machine Translation.

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Published

2026-06-20

Issue

Vol. 5 No. 21 (2026): Академические исследования в современной науке

Section

Статьи

How to Cite

Mukhiddinova, D. (2026). TRANSLATION BIAS IN ARTIFICIAL INTELLIGENCE POSSIBLE TITLE: GENDER AND CULTURAL BIAS IN AI-BASED TRANSLATION SYSTEMS: EVIDENCE FROM ENGLISH–UZBEK TRANSLATION. Academic Research in Modern Science, 5(21), 189-193. https://doi.org/10.5281/