Volume 17, Issue 58 (4-2023)
MLJ 2023, 17(58): 997-1012 |
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Esmaeilpour M A, Ghanad F, Mohammad Jafari Nedoushan S. The Feasibility of Using Artificial Intelligence in the Evaluation of Arbitration Evidence from the Perspective of Jurisprudence and Law. MLJ 2023; 17 (58) :997-1012
URL: http://ijmedicallaw.ir/article-1-1783-en.html
URL: http://ijmedicallaw.ir/article-1-1783-en.html
1- Department of Law, Faculty of Law, University of Science and Culture, Tehran, Iran.
2- . Department of Law, Faculty of Law, University of Research science University, Tehran, Iran.
2- . Department of Law, Faculty of Law, University of Research science University, Tehran, Iran.
Abstract:
Background and Aim: The use of artificial intelligence in the arbitration process, including the evaluation of evidence, can facilitate and speed up the process. Artificial intelligence is an emerging phenomenon and its use in arbitration in an independent or facilitating role can bring many jurisprudential and legal challenges. On the other hand, this intelligent tool is an emerging phenomenon and delayed the establishment of existing laws in the field of arbitration, as a rule, it has not been possible to use the exact title of artificial intelligence in the laws. In order to synchronize laws and technology, it is necessary to pay serious attention to legislation in this area.
Method: This article is written in a descriptive and analytical method, using library resources, including books and articles.
Ethical Considerations: This research was written based on ethical and trustworthiness principles.
Results: Considering the self-promoting nature of artificial intelligence and the use of new methods and algorithms, not recognizing it is against common sense and common sense.
Conclusion: Looking at the established goals and the intention of the legislator in arbitration, the powers and will of the parties in resolving disputes are considered very strong and effective. This is confirmed by Article 27, Paragraph 3 of Iran's International Commercial Arbitration Law, which stipulates that the parties can conduct arbitration on the basis of justice, equity, or God's Code. In other articles of this law, impartiality, independence and equality of treatment are the mandatory principles of the referee. Among the regulations, it seems that the parties can determine the substantive or formal rules governing their disputes.
Please cite this article as:
Esmaeilpour MA, Ghanad F, Jafari Nedoushan SH. The Feasibility of Using Artificial Intelligence in the Evaluation of Arbitration Evidence from the Perspective of Jurisprudence and Law. Medical Law Journal. 2023; 17(58): e67.
Method: This article is written in a descriptive and analytical method, using library resources, including books and articles.
Ethical Considerations: This research was written based on ethical and trustworthiness principles.
Results: Considering the self-promoting nature of artificial intelligence and the use of new methods and algorithms, not recognizing it is against common sense and common sense.
Conclusion: Looking at the established goals and the intention of the legislator in arbitration, the powers and will of the parties in resolving disputes are considered very strong and effective. This is confirmed by Article 27, Paragraph 3 of Iran's International Commercial Arbitration Law, which stipulates that the parties can conduct arbitration on the basis of justice, equity, or God's Code. In other articles of this law, impartiality, independence and equality of treatment are the mandatory principles of the referee. Among the regulations, it seems that the parties can determine the substantive or formal rules governing their disputes.
Please cite this article as:
Esmaeilpour MA, Ghanad F, Jafari Nedoushan SH. The Feasibility of Using Artificial Intelligence in the Evaluation of Arbitration Evidence from the Perspective of Jurisprudence and Law. Medical Law Journal. 2023; 17(58): e67.
Keywords: Artificial Intelligence, Arbitration, International Commercial Arbitration Law, Jurisprudential Foundations
Type of Study: Original Article |
Received: 2023/11/6 | Accepted: 2024/03/5
Received: 2023/11/6 | Accepted: 2024/03/5
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