Artificial Intelligence and Law最新文献_第5页

The black box problem revisited. Real and imaginary challenges for automated legal decision making 黑匣子问题再次出现。自动化法律决策面临的现实和想象挑战

IF 4.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-04-04 DOI: 10.1007/s10506-023-09356-9

B. Brożek, Michael Furman, Marek Jakubiec, Bartłomiej Kucharzyk

引用次数: 6

The use of AI in legal systems: determining independent contractor vs. employee status. 人工智能在法律体系中的使用：确定独立承包商与员工身份。

IF 3.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-03-30 DOI: 10.1007/s10506-023-09353-y

Maxime C Cohen, Samuel Dahan, Warut Khern-Am-Nuai, Hajime Shimao, Jonathan Touboul

{"title":"The use of AI in legal systems: determining independent contractor vs. employee status.","authors":"Maxime C Cohen, Samuel Dahan, Warut Khern-Am-Nuai, Hajime Shimao, Jonathan Touboul","doi":"10.1007/s10506-023-09353-y","DOIUrl":"10.1007/s10506-023-09353-y","url":null,"abstract":"The use of artificial intelligence (AI) to aid legal decision making has become prominent. This paper investigates the use of AI in a critical issue in employment law, the determination of a worker's status-employee vs. independent contractor-in two common law countries (the U.S. and Canada). This legal question has been a contentious labor issue insofar as independent contractors are not eligible for the same benefits as employees. It has become an important societal issue due to the ubiquity of the gig economy and the recent disruptions in employment arrangements. To address this problem, we collected, annotated, and structured the data for all Canadian and Californian court cases related to this legal question between 2002 and 2021, resulting in 538 Canadian cases and 217 U.S. cases. In contrast to legal literature focusing on complex and correlated characteristics of the employment relationship, our statistical analyses of the data show very strong correlations between the worker's status and a small subset of quantifiable characteristics of the employment relationship. In fact, despite the variety of situations in the case law, we show that simple, off-the-shelf AI models classify the cases with an out-of-sample accuracy of more than 90%. Interestingly, the analysis of misclassified cases reveals consistent misclassification patterns by most algorithms. Legal analyses of these cases led us to identify how equity is ensured by judges in ambiguous situations. Finally, our findings have practical implications for access to legal advice and justice. We deployed our AI model via the open-access platform, https://MyOpenCourt.org/, to help users answer employment legal questions. This platform has already assisted many Canadian users, and we hope it will help democratize access to legal advice to large crowds.","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061388/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9742579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A formalization of the Protagoras court paradox in a temporal logic of epistemic and normative reasons 普罗泰哥拉宫廷悖论在认知和规范原因的时间逻辑中的形式化

IF 4.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-03-16 DOI: 10.1007/s10506-023-09351-0

Meghdad Ghari

引用次数: 0

Predicting inmates misconduct using the SHAP approach 使用SHAP方法预测囚犯的不当行为

IF 4.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-03-15 DOI: 10.1007/s10506-023-09352-z

Fábio M. Oliveira, M. Balbino, Luis E. Zárate, Fawn T. Ngo, R. Govindu, Anurag Agarwal, C. Nobre

引用次数: 0

Semantic matching based legal information retrieval system for COVID-19 pandemic. 基于语义匹配的新冠肺炎疫情法律信息检索系统。

IF 3.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-03-14 DOI: 10.1007/s10506-023-09354-x

Junlin Zhu, Jiaye Wu, Xudong Luo, Jie Liu

{"title":"Semantic matching based legal information retrieval system for COVID-19 pandemic.","authors":"Junlin Zhu, Jiaye Wu, Xudong Luo, Jie Liu","doi":"10.1007/s10506-023-09354-x","DOIUrl":"10.1007/s10506-023-09354-x","url":null,"abstract":"Recently, the pandemic caused by COVID-19 is severe in the entire world. The prevention and control of crimes associated with COVID-19 are critical for controlling the pandemic. Therefore, to provide efficient and convenient intelligent legal knowledge services during the pandemic, we develop an intelligent system for legal information retrieval on the WeChat platform in this paper. The data source we used for training our system is \"The typical cases of national procuratorial authorities handling crimes against the prevention and control of the new coronary pneumonia pandemic following the law\", which is published online by the Supreme People's Procuratorate of the People's Republic of China. We base our system on convolutional neural network and use the semantic matching mechanism to capture inter-sentence relationship information and make a prediction. Moreover, we introduce an auxiliary learning process to help the network better distinguish the relation between two sentences. Finally, the system uses the trained model to identify the information entered by a user and responds to the user with a reference case similar to the query case and gives the reference legal gist applicable to the query case.","PeriodicalId":51336,"journal":{"name":"Artificial Intelligence and Law","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012305/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10074769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ensemble methods for improving extractive summarization of legal case judgements 改进法律案件判决摘要提取的集成方法

IF 4.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-03-04 DOI: 10.1007/s10506-023-09349-8

Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh

引用次数: 3

Going beyond the “common suspects”: to be presumed innocent in the era of algorithms, big data and artificial intelligence 超越“常见嫌疑人”：在算法、大数据和人工智能时代被推定无罪

IF 4.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-02-22 DOI: 10.1007/s10506-023-09347-w

Athina Sachoulidou

引用次数: 0

Joining metadata and textual features to advise administrative courts decisions: a cascading classifier approach 结合元数据和文本特征为行政法院裁决提供建议：级联分类器方法

IF 4.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-02-18 DOI: 10.1007/s10506-023-09348-9

Hugo Mentzingen, N. António, Victor Lobo

引用次数: 0

Correction: Using attention methods to predict judicial outcomes 更正：使用注意力方法预测司法结果

IF 4.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-02-09 DOI: 10.1007/s10506-023-09346-x

V. G. Bertalan, E. Ruiz

引用次数: 0

A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering 有句话是公司知道的:使用深度聚类改进法律文件摘要

IF 4.1 2区社会学

Artificial Intelligence and Law Pub Date : 2023-02-01 DOI: 10.1007/s10506-023-09345-y

Deepali Jain, M. Borah, Anupam Biswas

引用次数: 4