AI as a tool to enhance digital arbitration effectiveness (Analytical study under silicon valley arbitration center guidelines)

https://doi.org/10.55214/25768484.v8i6.2333

Authors

  • Rania S. Azab Department of Law, College of Business Administration, Northern Border University, Saudi Arabia – Department of Administrative Sciences, Community College, Northern Border University, Arar, Saudi Arabia
  • Hosameldin H. Ismail Department of Law, College of Business Administration, Northern Border University, Saudi Arabia – Department of Administrative Sciences, Community College, Northern Border University, Arar, Saudi Arabia; and Economic, Industrial Relations Division, Workers University, Zagazig, Egypt

This research addresses the role of artificial intelligence in enhancing effectiveness of electronic arbitration, focusing on Silicon Valley Arbitration Center guidelines. The research is intended to assess effectiveness of those guidelines in enhancing justice, efficiency and transparency of arbitration procedures, analyze impact of artificial intelligence on expediting the arbitration process and assess accuracy and objectivity of arbitral decisions should those guidelines are followed. The research also provides practical recommendations to implement artificial intelligence in the field of arbitration, focusing on improvement of Egyptian Arbitration Act to support using that sophisticated technology. The research highlights significance of technology in improving legal processes and introducing justice in a more efficient and effective form. It also reviews benefits and challenges pertaining to using artificial intelligence in electronic arbitration. Moreover, the research poses key questions on legal and ethical effects and the challenges encounter implementation of artificial intelligence in this field, and how the existing legal systems adapt to that technology.

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How to Cite

Azab, R. S. ., & Ismail, H. H. . (2024). AI as a tool to enhance digital arbitration effectiveness (Analytical study under silicon valley arbitration center guidelines). Edelweiss Applied Science and Technology, 8(6), 1723–1734. https://doi.org/10.55214/25768484.v8i6.2333

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Published

2024-10-15