THE IMPACT OF AI-ASSISTED JUDICIAL SYSTEMS ON HUMAN RIGHTS: GEORGIA'S COMPLIANCE WITH THE EUROPEAN CONVENTION ON HUMAN RIGHTS
The integration of artificial intelligence (AI) technologies into judicial systems today promises efficiency and consistency in the administration of justice, yet it also raises significant human rights implications. This study examines the compatibility of AI-assisted judicial practices in Georgia with fundamental rights safeguarded under the European Convention on Human Rights (ECHR). In recent years, as part of its digital justice reforms, Georgia has adopted automated decision-support systems and data analytics tools. However, the potential risks posed by these technologies—particularly concerning transparency, bias, and the right to a fair trial—call into question their conformity with Article 6 (right to a fair trial) and Article 14 (prohibition of discrimination) of the ECHR. The scope of this study is limited to analyzing the legal and ethical dimensions of Georgia’s existing AI applications. Employing qualitative methods, the research evaluates Georgia’s national judicial policies, relevant case law from the European Court of Human Rights (ECtHR), and comparative legal analyses (Nuredin, 2016). The findings reveal that the automation of judicial processes through AI carries risks of human rights violations, particularly in terms of algorithmic bias and the auditability of decisions. For instance, machine learning models may perpetuate historical discrimination present in training data, potentially violating Article 14 of the ECHR. To ensure full compliance with the ECHR, Georgia must establish stringent ethical standards for AI systems, transparent algorithmic oversight mechanisms, and independent review processes. This study provides policy recommendations aimed at minimizing the human rights impacts of AIdriven judicial systems.
Institutions
- Institute for Law and Justice (US)
Publication Details
- Published
- 2024-10-24
- DOI
- https://doi.org/10.55843/isc2024conf416k
- Primary Topic
- Intuitionistic Fuzzy Systems Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00