Synthetic data is artificially generated data that mimics the statistical properties of real data, used to train or test AI models without exposing actual personal or sensitive information.
Generating synthetic data can help address privacy concerns, supplement limited real datasets, and test systems under conditions that are rare in real data. However, synthetic data is only as useful as its resemblance to real-world patterns — if it does not accurately reflect reality, models trained on it may perform poorly in practice.