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.