Synthetic data adoption rises as CIOs face bias and regulatory risks

As organizations increasingly adopt synthetic data to train AI models and protect sensitive information, experts warn that the practice introduces significant risks including bias, model collapse, and regulatory exposure. Because generative AI has lowered the cost of creating synthetic records, enterprise usage is scaling rapidly, but analysts caution that high utility often comes with increased security and privacy trade-offs. To mitigate these dangers, chief information officers must implement robust governance frameworks, evaluation harnesses, and strict operational controls to monitor data lifespan and movement. Open article →