How can I identify bias in NLP models?

What are some common signs of bias in NLP models?

Common signs include skewed training data, biased language patterns, and unequal performance across different demographics.

How can I test for bias in my NLP model?

You can test for bias by evaluating model performance on diverse datasets and checking for disparities in outcomes.

Are there tools available to help identify bias?

Yes, tools like AI Fairness 360 and What-If Tool can help analyze and visualize bias in your models.

What steps can I take to mitigate bias in my NLP applications?

To mitigate bias, ensure diverse training data, apply bias detection tools, and continuously monitor model performance.