How can I measure bias in AI systems?

How can I measure bias in AI systems?

You can measure bias in AI systems by analyzing the data used for training, evaluating model performance across different demographic groups, and using fairness metrics.

What are some common fairness metrics I should consider?

Common fairness metrics include demographic parity, equal opportunity, and disparate impact. Each metric assesses bias differently.

How do I collect data for this analysis?

You can collect data through surveys, public datasets, or by using synthetic data generation techniques to ensure diversity.

Are there tools available to help with this?

Yes, there are several tools like Fairness Indicators, AI Fairness 360, and What-If Tool that can help you analyze bias in AI models.