OECD flags synthetic data privacy risks as California and Texas push AI disclosure and governance

The OECD published guidance that highlights privacy and quality risks in synthetic data, including susceptibility to re-identification attacks and the possibility of model collapse over time. In parallel, California’s AB 2013 would require public disclosure of generative AI training data starting January 1, 2026, and Texas’ TRAIGA sets a governance framework with prohibitions on harmful uses and a new AI council. A second OECD report points to synthetic data paired with differential privacy as a practical PET approach for testing use cases such as artificial facial images.