How can I identify bias in training data?

How can I identify bias in training data?

Identifying bias in training data involves several steps. First, you should analyze the data for representation. Are all groups adequately represented?

What specific methods can I use to analyze the representation?

You can use statistical analysis to check for demographic representation, and visualization tools to spot imbalances.

Are there any tools that can help with this analysis?

Yes, tools like Fairness Indicators, AIF360, and What-If Tool can help you assess and visualize bias in your datasets.

What should I do if I find bias in my training data?

If you find bias, consider re-sampling your data, augmenting underrepresented groups, or using techniques to mitigate bias during model training.