What are some effective techniques for bias training in AI?

What are some effective techniques for bias training in AI?

There are several techniques for bias training in AI, including data augmentation, adversarial training, and fairness constraints.

Can you explain data augmentation in more detail?

Data augmentation involves creating synthetic data to balance the dataset, helping to reduce bias by providing more diverse examples.

What is adversarial training?

Adversarial training involves training the model on adversarial examples to improve its robustness and reduce bias in predictions.

How do fairness constraints work?

Fairness constraints are guidelines applied during training to ensure that the model's predictions are equitable across different groups.