Discussion Instructions:
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Read the study summary carefully.
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Reflect on bias, academic integrity, and privacy in AI research.
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Choose ONE of the following prompts to respond to in ≤500 words:
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- From a linguistic theory perspective (syntax, morphology, sociolinguistics, pragmatics), what deeper issues do you see in “gender bias” here? How do grammatical gender systems complicate fairness in machine translation?
- If you were designing this study, what linguistic variables (e.g., morphosyntactic features, sociolinguistic variation, dialectal differences) would you include to uncover hidden biases?
- Many low-resource or endangered languages lack representation in training data. How might this lead to linguistic inequities? Propose one data collection strategy to ensure more inclusive and equitable treatment of these languages in AI systems.
- How could these findings influence linguistic fieldwork, corpus building, or computational linguistics research in your area?
After posting your response, reply to at least one of your peers' replies:
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Offering another linguistic or ethical perspective (e.g., language policy, discourse analysis, sociophonetics), OR
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Suggesting a practical strategy or tool that strengthens their approach.