What are some techniques to ensure AI fairness?

What are some techniques to ensure AI fairness?

There are several techniques to ensure AI fairness, including bias detection, data balancing, and fairness constraints.

Can you explain bias detection in more detail?

Bias detection involves identifying and measuring biases in AI models, often using statistical methods to analyze outcomes.

What is data balancing and why is it important?

Data balancing is the process of ensuring that training datasets are representative of all groups to prevent biased outcomes.

Are there any fairness constraints I should be aware of?

Yes, fairness constraints can include demographic parity, equal opportunity, and calibration, which help ensure equitable treatment.