| Abstract [eng] |
This research provides a critical analysis of the trusted application of generative artificial intelligence (AI) to dispute resolution systems and in this case, the alternative dispute resolution (ADR) and the online dispute resolution (ODR). The study examines the role of the generative AI with regard to these systems, the risks involved, and practical challenges, and assesses regulatory and ethical protections that are required to make these systems reliable. The study is a mixed methodology, comprising an extensive literature review and interviews with the participants of the field of law, AI developers, and regulators. Besides, both the qualitative and quantitative approaches were applied to analyse the empirical data on the use cases and the legal outcomes of AI. The study indicates that despite the great potential of generative AI in enhancing efficiency and access in the dispute resolution process, issues of fairness, neutrality and transparency are still there. Among the critical results, there are the dangers of algorithmic bias, the possibility of AI-generated decision hallucinations, and the necessity of human control to be responsible. The paper highlights the importance of the existence of strong regulatory frameworks and human-in-the-loop to deal with these issues. Finally, the paper emphasizes the idea that as AI has a potential to transform the way disputes are resolved, its implementation should be supported with a set of strict measures to maintain procedural justice, impartiality, and fairness. The study recommends effective regulatory structures, transparency, and accountability protocols to guarantee that AI usage in courts is ethical and responsible to avoid injuries and foster trust in AI-enabled dispute resolution procedures. |
