The integration of Large Language Models (LLMs) in legal practice presents new challenges, particularly regarding judicial fairness. The JustEva toolkit addresses these concerns by providing a structured evaluation framework that measures fairness through metrics such as inconsistency, bias, and imbalanced inaccuracy. By incorporating 65 extra-legal factors, JustEva offers a comprehensive analysis of LLM outputs, stressing the necessity for fair and trustworthy tools in the legal sector.
As empirical applications of JustEva demonstrate significant fairness deficiencies in existing LLMs, it raises critical questions about their reliability in legal contexts. The risks associated with deploying biased LLMs could lead to unjust outcomes in legal proceedings. JustEva serves both as a tool and a methodological foundation for improving algorithmic fairness, encouraging the legal community to adopt more rigorous evaluation practices. This toolkit represents a valuable step towards ensuring that technology in law does not inadvertently perpetuate bias or inequality.
👉 Pročitaj original: arXiv AI Papers
