Judging the Judges: The Global Push to Explain AI in the Courtroom

A forthcoming study in the Computer Law & Security Review offers a timely, functional analysis of how three major jurisdictions—the European Union, Brazil, and China—are approaching the right to an explanation for judicial AI. Authored by an international team including Cong-rui Qiao, the research dissects the legal and technical frameworks that govern automated decision-making in courts. Rather than treating “explainability” as a uniform concept, the study grounds its comparison in the specific functions that AI systems perform, from legal research assistance to risk assessment and even sentencing recommendations.

For China, this research strikes at the heart of a fast-moving digital transformation. Chinese courts have already deployed AI tools for case triage, document review, and evidence analysis, with Beijing pushing for a “smart court” system that improves efficiency and consistency. Yet as these systems grow more sophisticated, the legal guarantee of transparency becomes both a technical and a procedural puzzle. The study finds that China’s approach, while distinct from the EU’s rights-based framework or Brazil’s emerging consumer protections, is evolving rapidly to balance algorithmic efficiency with judicial accountability. Chinese scientists and legal scholars have been among the first to publicly call for explainable AI standards in the judiciary, recognizing that public trust depends on understanding how a verdict—or recommendation—was reached.

Why it matters:
As AI becomes a silent partner in courtrooms worldwide, the ability to understand its reasoning is not just a legal nicety—it is a pillar of due process. This study provides a rare side-by-side look at how China, the EU, and Brazil are building that pillar, offering a roadmap for regulators, technologists, and litigators navigating the intersection of law and machine intelligence.

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