Abstract
The integration of advanced Artificial Intelligence—specifically Large Language Models (LLMs)—into the judicial system has rapidly evolved from administrative triage to substantive legal adjudication. This article rigorously examines the profound constitutional and human rights crises precipitated by the deployment of "robot judges" in civil and minor criminal proceedings. By analyzing recent pilot programs across global jurisdictions where AI systems are utilized to draft judgments, assess witness credibility, and determine bail, the authors interrogate the compatibility of algorithmic determinism with Article 6 of the European Convention on Human Rights (the right to a fair trial). We dissect the fundamental jurisprudential problem of "explainability": because neural networks operate as proprietary black boxes, delegating adjudicative authority to an LLM inherently deprives the defendant of a reasoned, legally transparent rationale for their conviction or liability. Furthermore, the paper exposes the severe risks of algorithmic hallucination and the codification of systemic societal biases present in the historic case law used for training data. The authors evaluate the legal fiction of keeping a "human in the loop," arguing that cognitive automation bias renders human oversight of complex AI outputs largely illusory, as overburdened judges rubber-stamp machine-generated decisions. The article advocates for an absolute jurisprudential prohibition against the use of generative AI for substantive legal reasoning in any adversarial proceeding. We conclude that justice is not merely an outcome to be optimized for efficiency, but a fundamentally human process of empathetic, contextual, and transparent legal reasoning that cannot be delegated to statistical text prediction without fatally compromising the legitimacy of the rule of law.
Keywords: Algorithmic Judiciary, Right to a Fair Trial, Artificial Intelligence, LLMs, Automation Bias, European Convention on Human Rights, Jurisprudence