What if your AI was trained on data that never existed? In this episode, we unpack the rapidly growing field of synthetic data — artificially generated datasets used to train machine learning models when real-world data is scarce, sensitive, or biased. Synthetic data promises speed, privacy, and scale, but raises critical questions about accuracy, trust, and representational fairness. Is it the key to unlocking safer AI — or a shortcut with hidden risks?

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