One of the roots of AI bias is in the data sets used for training. Ensuring that these data sets are diverse and representative of all user groups can significantly reduce algorithmic biases. This includes collecting and using data that reflects a variety of demographics, cultures, and languages.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.
