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AI tools are powerful, but they also raise important ethical questions. For this discussion, reflect on how bias, privacy, and academic integrity come into play when using AI in research.
A 2025 study(Addressing Speaker Gender Bias In Large Scale Speech Translation Systems
) revealed persistent masculine bias in speech translation systems: even with clear audio input, translations defaulted to masculine forms. Researchers corrected this using LLM-based post-editing and fine-tuning with gender-balanced data, improving accuracy in English→Spanish and English→Italian translations. This case highlights bias, academic integrity, and privacy concerns in AI-driven research and language technology. Read this case and post your reply based on the instructions given by the facilitators. (first post)
ఇది ప్రశ్న జవాబుల వేదిక. ఈ ప్రశ్నలకు వచ్చిన ఇతర జవాబులను చూడాలంటే ముందు మీరు మీ జవాబును టపాయించాలి
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