What is Synthetic Data?

Explained

Synthetic data augments scarce or sensitive datasets while preserving statistical properties—useful for simulation, privacy-preserving ML, and imbalance correction. Governance ensures it does not encode harmful bias.

Further reading

• AI Fairness Monitoring: From Defensive Cost to Strategic Advantage

Related terms

• Bias Distortion in data or model that produces unfair or inaccurate results.
• Training Process of teaching the model with data (pre-training, fine-tuning).
• Big Data Large volumes of data requiring specialized tools; feedstock for training AI models.
• Context Engineering Designing what the model sees—retrieval, memory, summaries, and window budgeting.
• Corpus Collection of documents used to train or feed a system (e.g., RAG).
• Data Lake Repository that stores raw data; source for analytics and ML.