Towards automated data analysis: A guided framework for LLM-based risk estimation

Researchers propose a new framework that combines Large Language Models with human supervision for automated dataset risk estimation. The approach aims to address limitations of manual auditing and AI hallucinations by having LLMs identify database properties and generate analysis code under human guidance.