How can AI bias be identified and mitigated?

How can AI bias be identified and mitigated?

AI bias can be identified through various tools and techniques, such as data audits, fairness metrics, and model evaluation.

What are some common sources of bias in AI?

Common sources of bias include biased training data, algorithmic design choices, and societal biases reflected in the data.

Can you recommend any specific tools for detecting bias?

Yes, tools like Fairness Indicators, AI Fairness 360, and What-If Tool are great for detecting and analyzing bias in AI models.

How do I implement these tools in my project?

You can implement these tools by integrating them into your development environment, following their documentation for setup and usage.