Best Practices for Using Synthetic Data
To mitigate the risks associated with synthetic data while harnessing its benefits, researchers and AI developers should consider the following best practices:
1. Thorough Review and Curation
- Implement robust processes for examining generated data.
- Iterate on the generation process to improve quality over time.
- Develop and apply safeguards to identify and remove low-quality data points.