The rapid entry of artificial intelligence into international arbitration, while significantly increasing the speed, efficiency and accuracy of document analysis, has created serious challenges for fair trial standards including impartiality, transparency, explanability and human supervision. This descriptive-analytical study investigated the effect of AI, email, video conferencing, NLP and ML tools on decision-making process, algorithmic bias, and strategies for maintaining the basic principles of arbitration. The findings showed that AI reduces the processing time by up to 45%, but without three-layer human supervision (input, process, output) and hybrid arbitration model, the risk of neutrality violation and reduced trust of the parties increases. In Iran, the rules of international trade arbitration (1997) and e-commerce (2003) have provided the initial platform, but the lack of special regulations for explanation and algorithms is evident. Proposals include the development of national regulations for the use of AI in arbitration, training of arbitrators, and the establishment of an independent oversight committee in arbitration centers. This study emphasizes that AI should serve human justice, not replace it; The balance between innovation and legal principles is the key to maintaining the legitimacy of international arbitration.