The discussion emphasizes the critical role of data in AI regulation, highlighting that biases often originate from how data is curated. A structured, programmatic approach to data management is essential for improving accuracy and governance. Regulatory measures should focus on the maturity of data management practices to enhance the performance of large language models.
