Data Cleaning Definition:
The process of checking and filtering the data used to train AI models, making sure it doesn’t contain biased or incorrect information. This helps reduce AI bias, such as gender or ethnic discrimination.
Contents
Example
Removing biased gender-related keywords from a recruitment AI’s database to make candidate selection less discriminating.