Synthetic data: adoption is up, scrutiny is catching up

MIT News highlights the practical upside of synthetic data—privacy preservation, lower cost, and faster model development—while warning that poor generation and validation can reduce model performance. An NIEHS opinion piece argues that generative synthetic data also raises ethical risks for scientific integrity and trust, calling for bias and accuracy mitigation strategies.