GENERATIVE AI
“ There’ s no good AI, there’ s no good generative AI without good data. It’ s foundational”
Iain Brown, Head of Data Science
Northern Europe, SAS
be built on top of them are more likely to be trusted, more likely to be accepted by consumers.”
This governance challenge extends beyond technical considerations to fundamental questions about transparency, accountability and trust. Organisations must establish clear data lineage tracking where synthetic data originates and how it’ s been modified, implement robust quality assurance processes that validate synthetic data’ s statistical properties, and maintain transparency about synthetic data usage in AI systems that affect real-world decisions.
The stakes are considerable, particularly as synthetic data becomes embedded in critical systems affecting healthcare, finance and public safety. As Iain concludes:“ No matter how advanced a model is, the data quality is still fundamental to getting good, accurate AI systems. Synthetic data helps improve the balance. It improves the diversity and the completeness of data.” healthcare-digital. com 107