AI and Machine Learning Advances

AI enhances ICT dispute resolution by improving efficiency, yet the subject of ethical AI use and its governance and socio-technical consequences require regulation to ensure that innovation does not override justice. This study examines the issues, prospects, and ethical considerations of AI deployment in ICT dispute resolution and develops a course of action for increasing stakeholder confidence in AI solutions. Semi-structured interviews with legal professionals, including policymakers and AI experts, were used, and a qualitative research paradigm was followed. The method used for data analysis was thematic, and it involved categorizing challenges and opportunities related to the adoption of OER implementations by stakeholders and their perceptions of them with further reference to like articles. AI improves the speed of conflict resolution through algorithmic processing and advanced analytics while it raises the questions of fairness through computing algorithms, responsibilities, and openness. These problems further underscore the importance of proper regulation and cooperation on an international level. To overcome such issues, potential participants stressed using XAI, the human-in-the-loop approach, and raising awareness among stakeholders. The frameworks presented suggest implementing a bio-ethical, legal, and technological approach to make AI systems more reliable and fairer. This study offers a stakeholder approach to understanding the sociotechnical consequences of AI in the dispute resolution process and recommendations for overcoming them. It has provided suggested frameworks that fill the void of governance and ethics to address AI development in the academic circle and to practitioners in making equitable AI possible.