EU signals synthetic data is moving from workaround to policy tool

EU coverage and regulatory commentary this cycle converge on synthetic data as a way to move AI development forward under privacy constraints, particularly in health research. At the same time, sources stress that synthetic datasets can miss outliers, propagate bias, and require rigorous validation—especially when used to expand training coverage for large language models.