What are the best practices for training on bias?

What are the best practices for training AI to avoid bias?

To avoid bias in AI training, it's essential to use diverse datasets, implement fairness metrics, and regularly audit models.

Can you explain why diverse datasets are important?

Diverse datasets help ensure that the AI learns from a wide range of perspectives, reducing the risk of biased outcomes.

What are fairness metrics?

Fairness metrics are quantitative measures used to evaluate how equitably an AI model performs across different demographic groups.

How often should we audit AI models for bias?

AI models should be audited regularly, ideally after every major update or at least annually, to ensure they remain fair.