Synthetic data is transforming industries by enabling AI training where real data is sensitive or scarce. Yet its value depends on trust, which must be assessed through benchmarks of utility, privacy, and fairness. This blog explores how generative models, privacy leakage tests, and bias assessments ensure synthetic data is reliable and ethical. Learners in a Data Scientist Course or ... https://kahkaham.net/read-blog/135550