Governance frameworks and medical trust risks shape synthetic data debate

Two signals define today’s synthetic data conversation: enterprise teams are starting to formalize governance for synthetic data lifecycles, while healthcare stakeholders are warning that synthetic data can still weaken trust in AI systems if risks are poorly managed. Together, the stories show that synthetic data is no longer just a privacy workaround; it is becoming a policy, accountability, and validation issue.