How does synthetic data impact AI development?

What is synthetic data and how is it used in AI development?

Synthetic data is artificially generated data that mimics real-world data. It's used to train AI models when real data is scarce or sensitive.

What are the benefits of using synthetic data over real data?

Benefits include improved privacy, reduced costs, and the ability to create diverse datasets that enhance model training.

Can synthetic data help in reducing bias in AI models?

Yes, synthetic data can help by providing balanced datasets that represent underrepresented groups, thus reducing bias.

Are there any limitations to using synthetic data?

Yes, limitations include potential inaccuracies in the generated data and the risk of overfitting if the synthetic data doesn't represent real-world scenarios well.