Multidimensionality of Legal Singularity: Parametric Analysis and the Autonomous Levels of AI Legal Reasoning

• URL: http://arxiv.org/abs/2008.10575v1
• Date: Mon, 24 Aug 2020 17:28:35 GMT
• Title: Multidimensionality of Legal Singularity: Parametric Analysis and the Autonomous Levels of AI Legal Reasoning
• Authors: Lance Eliot
• Abstract summary: Legal scholars have in the last several years embarked upon an ongoing discussion and debate over a potential Legal Singularity. This paper examines the postulated Legal Singularity and proffers that such AI and Law cogitations can be enriched by these three facets.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Legal scholars have in the last several years embarked upon an ongoing discussion and debate over a potential Legal Singularity that might someday occur, involving a variant or law-domain offshoot leveraged from the Artificial Intelligence (AI) realm amid its many decades of deliberations about an overarching and generalized technological singularity (referred to classically as The Singularity). This paper examines the postulated Legal Singularity and proffers that such AI and Law cogitations can be enriched by these three facets addressed herein: (1) dovetail additionally salient considerations of The Singularity into the Legal Singularity, (2) make use of an in-depth and innovative multidimensional parametric analysis of the Legal Singularity as posited in this paper, and (3) align and unify the Legal Singularity with the Levels of Autonomy (LoA) associated with AI Legal Reasoning (AILR) as propounded in this paper.

Related papers

• Using AI Alignment Theory to understand the potential pitfalls of regulatory frameworks [55.2480439325792]
  This paper critically examines the European Union's Artificial Intelligence Act (EU AI Act) Uses insights from Alignment Theory (AT) research, which focuses on the potential pitfalls of technical alignment in Artificial Intelligence. As we apply these concepts to the EU AI Act, we uncover potential vulnerabilities and areas for improvement in the regulation.
  arXiv  Detail & Related papers  (2024-10-10T17:38:38Z)
• Report of the 1st Workshop on Generative AI and Law [78.62063815165968]
  This report presents the takeaways of the inaugural Workshop on Generative AI and Law (GenLaw) A cross-disciplinary group of practitioners and scholars from computer science and law convened to discuss the technical, doctrinal, and policy challenges presented by law for Generative AI.
  arXiv  Detail & Related papers  (2023-11-11T04:13:37Z)
• Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation [61.77881142275982]
  This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them. We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives. We identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
  arXiv  Detail & Related papers  (2022-06-08T12:32:08Z)
• Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents [56.40163943394202]
  We release the Longformer-based pre-trained language model, named as Lawformer, for Chinese legal long documents understanding. We evaluate Lawformer on a variety of LegalAI tasks, including judgment prediction, similar case retrieval, legal reading comprehension, and legal question answering.
  arXiv  Detail & Related papers  (2021-05-09T09:39:25Z)
• An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
  This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence. The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
  arXiv  Detail & Related papers  (2021-05-07T12:01:31Z)
• Legal Sentiment Analysis and Opinion Mining (LSAOM): Assimilating Advances in Autonomous AI Legal Reasoning [0.0]
  Legal Sentiment Analysis and Opinion Mining (LSAOM) consists of two often intertwined phenomena and actions underlying legal discussions and narratives. Efforts to undertake LSAOM have historically been performed by human hand and cognition. Advances in Artificial Intelligence (AI) involving especially Natural Language Processing (NLP) and Machine Learning (ML) are bolstering how automation can systematically perform either or both of Sentiment Analysis and Opinion Mining.
  arXiv  Detail & Related papers  (2020-10-02T04:15:21Z)
• AI and Legal Argumentation: Aligning the Autonomous Levels of AI Legal Reasoning [0.0]
  Legal argumentation is a vital cornerstone of justice, underpinning an adversarial form of law. Extensive research has attempted to augment or undertake legal argumentation via the use of computer-based automation including Artificial Intelligence (AI) An innovative meta-approach is proposed to apply the Levels of Autonomy (LoA) of AI Legal Reasoning to the maturation of AI and Legal Argumentation (AILA)
  arXiv  Detail & Related papers  (2020-09-11T22:05:40Z)
• Authorized and Unauthorized Practices of Law: The Role of Autonomous Levels of AI Legal Reasoning [0.0]
  The legal field has sought to define Authorized Practices of Law (APL) versus Unauthorized Practices of Law (UPL) This paper explores a newly derived instrumental grid depicting the key characteristics underlying APL and UPL as they apply to the AILR autonomous levels.
  arXiv  Detail & Related papers  (2020-08-19T18:35:58Z)
• Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning [0.0]
  This paper proposes a variant of the Turing Test that is customized for specific use in the AILR realm. It shows how this famous gold standard of AI fulfillment can be robustly applied across the autonomous levels of AI Legal Reasoning.
  arXiv  Detail & Related papers  (2020-08-18T04:50:23Z)
• An Ontological AI-and-Law Framework for the Autonomous Levels of AI Legal Reasoning [0.0]
  A framework is proposed that seeks to identify and establish a set of robust autonomous levels articulating the realm of Artificial Intelligence and Legal Reasoning. A set of seven levels of autonomy for AI and Legal Reasoning are meticulously proffered and mindfully discussed.
  arXiv  Detail & Related papers  (2020-08-04T16:12:30Z)
• How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence [81.04070052740596]
  Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain. This paper introduces the history, the current state, and the future directions of research in LegalAI.
  arXiv  Detail & Related papers  (2020-04-25T14:45:15Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.