What is bias in NLP models?
Bias in NLP models refers to systematic errors that result in unfair treatment of certain groups or perspectives.
Can you give me examples of bias in NLP?
Sure! Examples include gender bias in job descriptions or racial bias in sentiment analysis.
How does bias affect the performance of NLP models?
Bias can lead to inaccurate predictions, reinforce stereotypes, and limit the model's applicability across diverse populations.
What can be done to reduce bias in NLP models?
Techniques include using diverse training data, implementing fairness algorithms, and regularly auditing model outputs.
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