Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022
Article No.: 11, Pages 1 - 7
Abstract
This report describes the 2nd edition of the Symposium on Artificial Intelligence and Law (SAIL) organized as a virtual event during June 6--9, 2022. The aim of SAIL is to bring together experts from the industry and the academia to discuss the scope and future of AI as applied to the legal domain. The symposium is also meant to foster collaborations between researchers of the following communities: Law, Artificial Intelligence, Data Mining, Information Retrieval, and Natural Language Processing. Eminent researchers working on AI and Law in both the academia and the industry were invited to deliver talks at this symposium.
Date: 6--9 June, 2022.
Website: https://sites.google.com/view/sail-2022/.
References
[1]
Paheli Bhattacharya, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh, and Saptarshi Ghosh. A comparative study of summarization algorithms applied to legal case judgments. In Proc. European Conference on Information Retrieval (ECIR), pages 413--428, 2019.
[2]
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, and Saptarshi Ghosh. Hier-spcnet: A legal statute hierarchy-based heterogeneous network for computing legal case document similarity. In Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval, page 1657--1660, 2020.
[3]
Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, and Ashutosh Modi. ILDC for CJPE: Indian legal documents corpus for court judgment prediction and explanation. In Proc. Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP), pages 4046--4062, 2021.
[4]
Juliano Rabelo, Mi-Young Kim, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano, and Ken Satoh. A Summary of the COLIEE 2019 Competition. In JSAI-isAI Workshops, 2019.
[5]
Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun. How does NLP benefit legal system: A summary of legal artificial intelligence. In Proc. Annual Meeting of the Association for Computational Linguistics (ACL), pages 5218--5230, 2020.
Recommendations
Artificial intelligence as law: Presidential address to the seventeenth international conference on artificial intelligence and law
AbstractInformation technology is so ubiquitous and AI’s progress so inspiring that also legal professionals experience its benefits and have high expectations. At the same time, the powers of AI have been rising so strongly that it is no longer obvious ...
Comments
Information & Contributors
Information
Published In
Copyright © 2023 Copyright is held by the owner/author(s).
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 January 2023
Published in SIGIR Volume 56, Issue 1
Check for updates
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 43Total Downloads
- Downloads (Last 12 months)8
- Downloads (Last 6 weeks)2
Reflects downloads up to 12 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in