4. Transparency and Documentation
- Maintain clear records of synthetic data generation processes and any known limitations.
- Be transparent about the use of synthetic data in model training when deploying AI systems.
5. Ethical Considerations
- Assess the potential impact of synthetic data on model fairness and bias.
- Consider the broader societal implications of replacing human-annotated data with synthetic alternatives.