ai-practitioner video for a financial auditing firm has integrated a large language model (LLM) into its workflow to automatically generate compliance summaries
A financial auditing firm has integrated a large language model (LLM) into its workflow to automatically generate compliance summaries from lengthy contractual documents. This tool is intended to reduce manual effort and increase consistency across reports. However, the compliance team has raised concerns that the model might introduce unintended bias by favoring specific business terms or contractual language patterns, which could influence downstream legal interpretations or decisions. To address these concerns, the firm wants to evaluate the model for potential bias in a way that requires minimal administrative overhead while still providing meaningful insights into fairness and representational balance. What is the most suitable approach to evaluate the model for bias with minimal administrative effort?