法律的授权与非授权实践：AI法律推理的自主层次的作用
Authorized and Unauthorized Practices of Law: The Role of Autonomous Levels of AI Legal Reasoning
摘要：
人工智能（AI）和机器学习（ML）的进步正在应用于法律工作，这引发了对法律实践的现有限制的争议问题。一般来说，法律领域试图定义法律的授权实践（APL）与法律的未经授权的实践（UPL），尽管边界有时是无定形的，有些人认为反复无常和自私，而不是为了社会的利益而整体设计。这些论点中缺少的一个因素是，通过利用人工智能法律推理（AILR）的自主水平的框架来审视这一问题，可以更有力地识别即将到来的人工智能对法律职业的破坏。本文探讨了一个新衍生的工具网格描绘APL和UPL的关键特征，因为它们适用于AILR自治级别，并提供了关键的见解，为这些关键的法律实践的辩论的进一步发展。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
