论文标题
授权和未经授权的法律实践：自动级别的AI法律推理的作用
Authorized and Unauthorized Practices of Law: The Role of Autonomous Levels of AI Legal Reasoning
论文作者
论文摘要
应用于法律努力的人工智能（AI）和机器学习（ML）的进步提出了有关对法律实践施加的现有限制的有争议的问题。通常，法律领域试图定义授权的法律实践（APL）与未经授权的法律实践（UPL），尽管界限有时是无定形的，有些界限有时是反复无常和自我服务的，而不是全面地设计为社会的利益。这些论点中缺少的要素是认识到，通过使用AI法律推理的自动级别（AILR），通过通过框架来检查此问题，可以通过检查此问题来更加牢固地识别法律专业中断。本文探讨了新得出的工具网格，描述了APL和UPL的关键特征，因为它们适用于AILR自动级别，并为这些关键的法律辩论提供了关键见解。
Advances in Artificial Intelligence (AI) and Machine Learning (ML) that are being applied to legal efforts have raised controversial questions about the existent restrictions imposed on the practice-of-law. Generally, the legal field has sought to define Authorized Practices of Law (APL) versus Unauthorized Practices of Law (UPL), though the boundaries are at times amorphous and some contend capricious and self-serving, rather than being devised holistically for the benefit of society all told. A missing ingredient in these arguments is the realization that impending legal profession disruptions due to AI can be more robustly discerned by examining the matter through the lens of a framework utilizing the autonomous levels of AI Legal Reasoning (AILR). This paper explores a newly derived instrumental grid depicting the key characteristics underlying APL and UPL as they apply to the AILR autonomous levels and offers key insights for the furtherance of these crucial practice-of-law debates.
