Synthetic data offers a safe and flexible alternative to real datasets, but hidden pitfalls can compromise its integrity. This blog examines how fidelity, privacy leakage, and fairness assessments ensure that synthetic data supports trustworthy AI. Through rigorous benchmarking, data scientists can prevent unintended bias and information leaks. Enrollees in a Data Scientist Course or ... https://kahkaham.net/read-blog/135550