Synthetic Data, Real Risks: Why AI Must Be Trained on High-Quality Open Data
A seductive solution with hidden dangers Synthetic data is often presented as a clever fix for three persistent challenges in machine learning: data scarcity, unfair training distributions and privacy restrictions. At the same time, some argue it could democratise AI development by reducing dependence on large proprietary datasets held by a few dominant companies. But … Read more









