Synthetic Data for AI Testing — Quality Without Privacy Issues

Need data for AI, but real data is protected by GDPR? Synthetic data solves privacy, bias, and training data shortage.

Why synthetic data¶

• Privacy: No GDPR issues
• Edge cases: Generate rare scenarios
• Scale: Need 10x more data? Generate it
• Bias control: Balance group representation

Approaches¶

Rule-based: Defined rules. ML-based: GANs, VAEs. LLM-based: GPT-4 generates realistic text data.

Validation¶

Distribution, correlation, utility (model accuracy), privacy (re-identification risk). Always validate.

Synthetic data is production-ready¶

For AI testing and development, it’s a must-have. LLM-based for text, ML-based for tabular data.