How can AI bias be corrected?

How can AI bias be corrected?

AI bias can be corrected through various methods, such as data diversification, algorithm adjustments, and regular audits.

Can you give me an example of data diversification?

Sure! Data diversification involves including a wide range of demographics in training data to ensure fairness.

What are some common biases found in AI?

Common biases include gender bias, racial bias, and socioeconomic bias, often stemming from unrepresentative training data.

How do audits help in identifying bias?

Audits help by systematically reviewing AI outputs against fairness criteria, revealing any unintended biases.

Are there tools available for bias detection?

Yes, there are several tools like AI Fairness 360 and Fairness Indicators that help detect and mitigate bias in AI.