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هوش مصنوعی و مسئولیت در داوری تغییرات اقلیمی | ||
| مدل سازی و مدیریت آب و خاک | ||
| مقاله 4، دوره 5، ویژه نامه: تغییر اقلیم و تاثیر آن بر آب و خاک، 1404، صفحه 49-61 اصل مقاله (683.12 K) | ||
| نوع مقاله: Special issue on "Climate Change and Effects on Water and Soil" | ||
| شناسه دیجیتال (DOI): 10.22098/mmws.2025.17643.1611 | ||
| نویسندگان | ||
| Jawad Abdulmonam Yaheya1؛ Rajha M. Shehab2؛ Rafid Ali Laftah Hamad3؛ Jassim Mohamed Brieg4؛ Al-Sarraf Nazar Mostafa Jawad5؛ عطا امینی* 6 | ||
| 1Al-Turath University, Baghdad | ||
| 2Al-Mansour University College, Baghdad 10067, Iraq | ||
| 3Al-Rafidain University College Baghdad 10064, Iraq | ||
| 4Madenat Alelem University College, Baghdad 10006, Iraq | ||
| 5Al-Rafidain University College, Baghdad 10064, Iraq | ||
| 6مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی کردستان | ||
| چکیده | ||
| Artificial intelligence (AI) offers valuable opportunities to improve analytical processing of complex datasets, enhance predictive capabilities, and streamline procedural tasks. In the field of arbitration, these advantages translate into increased efficiency, particularly in complex and data-heavy cases such as those involving climate change liability. However, the decentralized and rapidly evolving nature of AI raises critical concerns about accountability, the allocation of liability, and transparency, areas where existing legal systems are still largely unprepared. This research explores the application of AI in the arbitration of climate change liability. It focuses on the transformative impact of AI tools on decision-making processes, examines how responsibility is shared among developers, users, and arbitration institutions, and discusses the ethical and regulatory implications of AI integration. Data shows a rising trend in the use of AI in arbitration. In the early stages, only 4–8% of cases employed simple AI technologies, primarily for document review. However, with the development of advanced machine learning algorithms and legal tech platforms, the proportion of AI-assisted cases has increased significantly. By 2018–2019, around 40% of arbitration cases incorporated predictive modeling tools, reflecting growing confidence in AI’s ability to detect patterns, predict outcomes, and support arbitrators in delivering fair and informed awards. To harness AI’s benefits responsibly, stakeholders must prioritize transparency, adopt international regulatory standards, and address ethical concerns such as bias and accountability. Establishing clear guidelines for AI use in arbitration will be essential to ensure fairness, maintain public trust, and manage the evolving legal landscape surrounding artificial intelligence. | ||
| کلیدواژه‌ها | ||
| هوش مصنوعی؛ داوری؛ مسئولیت؛ اخلاق؛ چارچوب‌های مقرراتی؛ کاهش سوگیری | ||
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آمار تعداد مشاهده مقاله: 49 تعداد دریافت فایل اصل مقاله: 56 |
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