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Related Questions
- Can you provide examples of how language models can perpetuate biases through their training data?
- How does the context in which language models are trained influence their ability to recognize and challenge existing social biases?
- What are some potential consequences of language models perpetuating social biases, and how can this impact society?
- Can you explain how the lack of diversity in language model training datasets can exacerbate existing social biases?
- In what ways can contextualization in language models inadvertently reinforce existing power dynamics and social hierarchies?
- How can the use of language models in high-stakes applications, such as hiring or law enforcement, perpetuate and amplify social biases?
- What strategies can be employed to mitigate the perpetuation of social biases in language models, and what are the challenges associated with these efforts?
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