Responsible Artificial Intelligence in Courts: A Four‐Test Framework

Abstract

A structured framework for responsible AI applications relating to judicial decision‐making and the adjudicative functions of courts requires the satisfaction of multiple context‐specific safeguards. This article proposes a four‐test framework designed to evaluate whether AI systems used in courts operate in accordance with legal, procedural and institutional standards. The Law Accuracy Test ensures that outputs are premised on accurate law. The Judge Control Test protects the authority of the judge in determining case outcomes. The Litigant Contestability Test requires that parties can meaningfully understand and challenge AI use and its effects. The Public Transparency Test addresses public awareness of AI deployment in judicial processes. All four tests must be satisfied for an AI system to be considered responsible in judicial settings. At the centre of this concentric framework is the Law Accuracy Test that AI systems be trained on accurate and up‐to‐date legal datasets, as this condition facilitates the proper functioning of all other safeguards.