Gender Bias in Speech Translation: An Interpretability Study
Analysis
This ArXiv paper investigates gender bias in speech translation, focusing on voice, coreference, and potential biases introduced during the translation process. The study's focus on interpretability is crucial for understanding and mitigating the propagation of harmful societal biases within AI systems.
Key Takeaways
- •Focuses on gender bias within speech translation models.
- •Emphasizes the importance of interpretability for understanding AI bias.
- •Explores the impact of voice, coreference, and translation processes on bias.
Reference / Citation
View Original"The study analyzes gender biases related to voice, bias, and coreference in speech translation."