Automating International Human Rights Adjudication

International human rights courts and treaty bodies are increasingly turning to automated decision-making (“ADM”) technologies to expedite and enhance their review of individual complaints. These tribunals have yet to consider many of the legal, normative, and practical issues raised by the use of different types of automation technologies for these purposes. This article offers a comprehensive and balanced assessment of the benefits and challenges of introducing ADM into international human rights adjudication. We argue in favor of using ADM to digitize documents and for internal case management purposes and to make straightforward recommendations regarding registration, inadmissibility, and the calculation of damages. In contrast, we reject the use of algorithms or artificial intelligence (“AI”) to predict whether a state has violated a human rights treaty. In between these polar categories we discuss semi-automated programs that cluster similar cases together, summarize and translate key texts, and recommend relevant precedents. We weigh the benefits of introducing these tools to improve international human rights adjudication—which include greater speed and efficiency in processing and sorting cases, identifying patterns in jurisprudence, and enabling judges and staff to focus on more complex responsibilities— against two types of cognitive biases—biases inherent in the datasets on which ADM is trained and biases arising from interactions between humans and machines. We also introduce a framework for enhancing the accountability that mitigates the potential harms caused by ADM technologies.