How can we address AI bias in machine learning?

What are some common types of bias found in AI systems?

Common types of bias include data bias, algorithmic bias, and societal bias, which can all affect AI outcomes.

How can we identify bias in AI models?

Bias can be identified through testing models on diverse datasets and analyzing their performance across different demographics.

What steps can be taken to mitigate AI bias?

To mitigate bias, you can use diverse training data, implement fairness algorithms, and regularly audit AI systems.

Are there any tools available to help with bias detection?

Yes, tools like IBM's AI Fairness 360 and Google's What-If Tool can help detect and mitigate bias in AI models.