What are some effective bias mitigation techniques in AI?

What are some effective bias mitigation techniques in AI?

There are several techniques to mitigate bias in AI, including data preprocessing, algorithmic adjustments, and post-processing methods.

Can you explain data preprocessing in more detail?

Data preprocessing involves cleaning and transforming data to reduce bias, such as removing biased samples or balancing datasets.

What about algorithmic adjustments?

Algorithmic adjustments can include using fairness constraints during model training or employing techniques like adversarial debiasing.

Are there any post-processing methods I should know about?

Yes, post-processing methods adjust the model's outputs to ensure fairness, such as equalizing false positive rates across groups.