What are the best practices for detecting bias in AI models?

What are the best practices for detecting bias in AI models?

To detect bias in AI models, you should start by defining what bias means in your context and identify the data sources.

How can I evaluate the fairness of my model?

You can evaluate fairness by using metrics like demographic parity, equal opportunity, and disparate impact analysis.

Are there specific tools I can use for bias detection?

Yes, tools like Fairness Indicators, AI Fairness 360, and What-If Tool can help you assess and visualize bias.

What steps should I take if I find bias in my model?

If you find bias, consider re-evaluating your data, adjusting your model, or implementing fairness constraints during training.