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AI Features

Other Methods and Summary

Learn to identify and apply a range of mitigation methods to reduce AI bias, including preprocessing, in-processing, and post-processing techniques. Understand how to select appropriate algorithms based on fairness metrics and problem types to build fairer AI models.

In this section, we have discussed representatives of each mitigation method. However, the entire landscape is broader than these approaches! There are numerous algorithms available in different packages. Let’s briefly discuss some of them:

Preprocessing

  • Learning Fair Representations (LFR): This method aims to encode original features into a latent space that retains essential information ...