Redefining Accountability: AI's Role in Prosecuting Transnational Crimes under International Law

This paper attempts to advance the way transnational crimes are prosecuted under international laws through discoverability of AI that seeks to redefine accountability in the digitized word and age. Thus, our research contributes new knowledge by studying the applicability of advanced AI technologies to international criminal law. The paper offers new ideas of applying machine learning techniques into the recognition of evidence, evaluation of cases, and making decisions within the international tribunal’s context, thus introducing the concept of technology-enhanced international legal processes. The approach to the study is multi-disciplinary and uses doctrinal research with an undercurrent of comparative analysis and qualitative case studies. In this paper, we embark on a witnessed study of the previous usage of AI in domestic legal systems and infer the possibilities for its use in international criminal prosecution. This paper’s results show that AI can contribute hugely to improving the effectiveness and outcomes of prosecuting transnational crimes with regard to practices in identifying evidence, patterns, and criminal organizations. This research has important implications for international criminal justice, approximating that there is the need for the change of the paradigm in managing accountability for international crimes. It provides opportunities for the subsequent research on the integration of AI and human decision-making processes concerning the law and urges for the creation of ethical frameworks of AI operations in international law.