NSU L(AI)brary Series: Synthetic Data and AI (Online)

Participants will learn what synthetic data are, how they are created, where they can be useful, and what limitations, ethical concerns, and validation requirements researchers should understand before incorporating them into scholarly work. The session emphasizes critical evaluation rather than specific tools. Topics covered: What synthetic data are and how they differ from real, anonymized, and simulated data Benefits of synthetic data and limitations related to bias, data quality, fidelity Research applications in healthcare, social sciences, business, education, engineering, and AI development Ethical, legal, and compliance considerations when using AI-generated synthetic data