面向法律创新的新兴法律信息学:现状与未来挑战与机遇

IF 0.2 Q4 LAW
Sugam Sharma, S. Gamoura, Deva M. Prasad, Arti Aneja
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引用次数: 8

摘要

摘要近年来,随着人工智能及其相关技术在法律领域的应用范围不断扩大,法律信息学领域开始慢慢发展。法律、计算和数据科学界正在合作建立计算和数据驱动的创新法律模型,通过有效利用机器学习、深度学习和自然语言处理等现代计算机技术,改进和推进现有法律体系的各个方面。在这篇研究论文中,作者Sugam Sharma、Samia Gamoura、Deva Prasad和Arti Aneja探讨了这些重要因素,这些因素有可能将现有的法学方法转变为利用自动化的智能法律系统。在不久的将来,即使对世界上高度边缘化、贫困和贫穷的社会来说,也可以设想这样一个更快、更公平、在经济上更可行的司法系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging Legal Informatics Towards Legal Innovation: Current Status and Future Challenges and Opportunities
Abstract In recent years, the legal informatics area has slowly begun to develop as artificial intelligence and its related techniques and technologies expand their reach in the field of law. The legal, computational and data science communities are collaborating to build computational and data-driven innovative legal models to improve and advance all aspects of the existing legal system with the effective use of modern computer technologies such as machine learning, deep learning and natural language processing. In this research paper, the authors - Sugam Sharma, Samia Gamoura, Deva Prasad and Arti Aneja - explore these important factors with the potential to transform the existing approach to jurisprudence into a smart and intelligent legal system utilising automation. Such a justice system could be envisioned, in the near future which would be faster, fairer and economically more feasible, even for the highly marginalized, underprivileged and poor societies in the world.
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来源期刊
自引率
25.00%
发文量
21
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