A Scalable Entity-Based Framework for Auditing Bias in Large Language Models
Synthetic data enables us to construct diverse, controlled inputs, and it reliably reproduces bias patterns observed in natural text, supporting its use for large-scale analysis and highlighting the need for systematic bias auditing before deploying LLMs in high-stakes applications.
Akram Elbouanani, Aboubacar Tuo, Adrian Popescu
· Annual Meeting of the Associ... · 3 citations