Eighteenth International Workshop on Juris-informatics
(JURISIN 2024)
associated with JSAI International Symposia on AI 2024 (IsAI-2024)


May 28-31, 2024

ACT CITY Hamamatsu, Hamamatsu, Shizuoka, Japan, Japan

New Information

We put the local proceedings (contains papers which have not been selected in LNAI proceedings but are to be presented at JURISIN 2024) at https://jurisinformaticscenter.github.io/jurisin2024/jurisin2024local_proceedings.pdf. ISBN for the local proceedings is 978-4-915905-96-4

Aims and Scope

Juris-informatics is a new research area which studies legal issues from the perspective of informatics. The purpose of this workshop is to discuss both the fundamental and practical issues among people from the various backgrounds such as law, social science, information and intelligent technology, logic and philosophy, including the conventional "AI and law" area. We solicit unpublished papers on theories, technologies and applications on juris-informatics.

Important Dates

Workshop: May 28-31, 2024

Submission Deadline: 31 Jan, 2024 (This is the firm deadline because of tight schedule of publishing LNAI proceedings at the symposium.)
Notification: 29 Feb, 2024
Camera-ready due: 25 March, 2024

Registration

Please register the workshop at registration page of JSAI International Symposia on AI 2024.

Topics

Relevant topics include, but are not limited to, the following:

  • Model of legal reasoning
  • Argumentation / Negotiation / Argumentation agent
  • Legal term ontology
  • Formal legal knowledge-base / Intelligent management of legal knowledge-base
  • Translation of legal documents
  • Computer-aided legal education
  • Use of informatics and AI in law
  • Legal/Ethical issues on applications of robotics and AI to society
  • Social implications of use of informatics and AI in law
  • AI and intellectual property
  • Legal/Ethical Compliance check of AI Systems
  • Natural language processing for legal knowledge
  • Translating law into formal representation
  • Legal data mining
  • Legal document analysis
  • Legal information retrieval
  • Legal information extraction
  • Verification and validation of legal knowledge systems
  • Online dispute resolution
  • Evidential reasoning
  • Application of Bayesian Network to law
  • AI application to forensics
  • AI application to smart contracts and blockchain
  • Legislation support by AI/IT techniques
  • Any theories and technologies which is not directly related with juris-informatics but has a potential to contribute to this domain

COLIEE 2024

This year, JURISIN will co-located with the Eleventh Competition on Legal Information Extraction/Entailment (COLIEE-2024). The motivation for the competition is to help create a research community of practice for the capture and use of legal information. Please visit the homepage of COLIEE2024 (https://sites.ualberta.ca/~rabelo/COLIEE2024/) to see the detail of the competition.

Invited Speakers

Mihoko Sumida, Hitotsubashi University, Japan
Title: Legal Innovation: Exploring Justice appropriate for Society 5.0 with a Multi-Disciplinary Team
Abstract:
The Japanese Government's vision of the future society, Society 5.0, is both highly ambitious and optimistic: a human-centric society while tackling head-on the challenges posed to society by innovative technologies such as AI. Of course, to achieve this, we need to be a leading nation in ‘realising solutions' to social problems, and we need to move forward with social change in one fell swoop. We have been collaborating with the Cambridge University team for four years on exploring Justice appropriate for this Society 5.0 with a Multi-Disciplinary Team that is not limited to experts from various legal fields and computer science. Topics for consideration include Foresight (making Future Scenario) on 'Work, Labour law and AI in 2030', AI Analysis of Legal Doctrine, Development of Models that Predict civil Dispute Resolution Outcomes as well as its Rationale, and Ethical issues when introducing AI into Judicial Decision making. However, the most important thing we discovered is that for our goal, not only the Law at the level of positive law, but also Law as Jurisprudence, has to be changed. We call this new concept 'Legal Innovation'. I would like to talk about the results of our research and our thoughts on this concept.
Bio:
Mihoko Sumida is Professor of Civil Law at Hitotsubashi Institute of Advanced Study, and Graduate School of Law, Hitotsubashi University, Tokyo, JAPAN. Her research area is contract and tort law and recently also on FinTech regulation and AI Governance. An involvement in the trial of a Tokyo Stock Exchange system failure (incident in 2005) led her to work on the challenges that technology poses to legal systems and theory. Together with Shunsuke Kudo (Robotics Engineer) she has published the book “Social Life with Robots” (2018, Koubundo in Japanese), which unpacks the legal challenges posed by technology. Principal Investigator from Japanese side of a research project "Legal Systems and Artificial Intelligence", conducted at the University of Cambridge and Hitotsubashi University, with the aim of exploring the impact and implications of the introduction of AI into the legal system (2020-2023), which she will talk about. Together with Felix Steffek, she has published a book “Legal Innovation: Technology, the Legal Profession and Societal Change” (Cambridge University Press, forthcoming; Koubundou 2022, in Japanese). Since 2022 November, she is an area editor (Area 3: Policy and Literacy for Data) of online international Journal, Data & Policy (Cambridge University Press).

Francesca Toni, Imperial College, UK
Title: Interactive Explanations for Contestabile AI
Abstract:
AI has become pervasive in recent years, but state-of-the-art approaches mostly neglect the need for AI systems to be contestable. Contestability is advocated by AI guidelines (e.g. by the OECD) and regulation of automated decision-making (e.g. GDPR). In contrast, there has been little attention in AI to suggest how contestability requirements can be met computationally. Contestability requires dynamic (human-machine or machine-machine) decision-making processes, whereas much of the current AI landscape is tailored to static AIs – thus the need to accommodate contestability will require a radical rethinking. In this talk I will argue that computational forms of contestable AI will require forms of explainability whereby machines and humans can interact, and that computational argumentation can support the needed interactive explainability for contestability.
Bio:
Francesca Toni is Professor in Computational Logic and Royal Academy of Engineering/JP Morgan Research Chair on Argumentation-based Interactive Explainable AI at the Department of Computing, Imperial College London, UK, as well as the founder and leader of the CLArg (Computational Logic and Argumentation) research group and of the Faculty of Engineering XAI Research Centre. She holds an ERC Advanced grant on Argumentation-based Deep Interactive eXplanations (ADIX). Her research interests lie within the broad area of Explainable AI, and in particular include Knowledge Representation and Reasoning, Argumentation, Argument Mining, Multi-Agent Systems, Machine Learning. She is EurAI fellow, in the editorial board of the Argument and Computation journal and the AI journal, and in the Board of Advisors for KR Inc. and for Theory and Practice of Logic Programming.

Submissions

We welcome and encourage the submission of high quality, original papers, which are not simultaneously submitted for publication elsewhere. Papers should be written in English, formatted according to the Springer Verlag LNCS style in a pdf form, which can be obtained from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines and not exceed 14 pages including figures, references, etc. If you use a word file, please follow the instruction of the format, and then convert it into a pdf form and submit it at the paper submission page:
https://easychair.org/conferences/?conf=jurisin2024.

If you cannot submit a paper by EasyChair System by some trouble, please send email to "ksatoh[at]nii.ac.jp"

If a paper is accepted, at least one author of the paper must register the workshop through this page. Without fulfilling this condition, the paper will not be in the proceedings.

Proceedings

We publish accepted papers which have LNAI quality in IsAI2024 proceedings in LNAI series which is different from treatment of the previous years (previously there were post-proceedings).

We also publish another online proceedings other than LNAI proceedings for papers which are not qualified for LNAI publication, but are selected to be presented at the workshop.

JURISIN2024 Programme

May 28, 2024 (Tuesday)

09:00-09:05 Opening Remark

09:05-10:05 Invited Talk
Mihoko Sumida, Hitotsubashi University, Japan
Title: Legal Innovation: Exploring Justice appropriate for Society 5.0 with a Multi-Disciplinary Team

10:05-10:30 Break

JURISIN Session
10:30-11:00 Addressing Annotated Data Scarcity in Legal Information Extraction
May Myo Zin, Ken Satoh, Ha Thanh Nguyen and Fumihito Nishino
11:00-11:30 Enhancing Legal Argument Retrieval with Optimized Language Model Techniques
Tomer Libal and Aleksander Smywiński-Pohl

11:30-13:00 Lunch Break

JURISIN Session
13:00-13:20 Extracting Data from Patent Prosecution
Jieh-Sheng Lee
13:20-13:40 On Debugging Structural Legal Rules in Natural Languages using Large Language Models
authors Wachara Fungwacharakorn, May Myo Zin, Ha-Thanh Nguyen, Hideaki Takeda and Ken Satoh
13:40-14:00 How to Establish Legally Binding Smart Contracts on Loan and Credit Agreements
Sieh-Chuen Huang, Yun-Cheng Tsai and Hsuan-Lei Shao
14:00-14:20 Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models
Hai-Long Nguyen, Duc-Minh Nguyen, Tan-Minh Nguyen, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong and Ken Satoh
14:20-14:40 Development of a Multilingual Model for Mapping Japanese and Foreign Laws
Daichi Yamada and Makoto Nakamura

14:40-15:00 Break

JURISIN Session
15:00-15:20 Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
Ha-Thanh Nguyen and Ken Satoh
15:20-15:40 An Empirical Evaluation of Using ChatGPT to Summarize Disputes for Recommending Similar Labor and Employment Cases in Chinese
Po-Hsien Wu, Chao-Lin Liu and Wei-Jie Li
15:40-16:00 Forensic Analysis of Social Media IOS Apps via Reconstructing Timelines
Oluwafisayo Theophilus and Hongmei Chi
16:00-16:20 Towards General Requirements for Norm Representation Languages Using Competency Questions: The Case of Comparing Flint and ODRL
Jeroen Breteler and Thom Van Gessel
16:20-16:40 A hybrid approach for accessible rule-based reasoning through large language models
Marco Billi, Alessandro Parenti, Giuseppe Pisano and Marco Sanchi
16:40-17:00 Mind the Gap - The Rules of the Road for Humans and Machines
Galileo Sartor, Adam Wyner, Giuseppe Contissa and Jacinto Davila

17:00-17:20 Break

17:20-18:20 Invited Talk
Francesca Toni, Imperial College, UK
Title: Interactive Explanations for Contestabile AI

May 29, 2024 (Wednesday)

COLLIE Session
09:00-09:30 Overview of Benchmark Datasets and Methods for the Legal Information Extraction/Entailment Competition (COLIEE) 2024
Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh and Masaharu Yoshioka
09:30-09:50 Legal Yes/No Question Answering Through Text Embedding, Fine-Tuning, and Prompt Engineering
Housam Babiker, Md Abed Rahman, Mi-Young Kim and Randy Goebel
09:50-10:20 CAPTAIN at COLIEE 2024: Large Language Model for Legal Text Retrieval and Entailment
Phuong Nguyen, Cong Nguyen, Hiep Nguyen, Minh Nguyen, An Trieu, Dat Nguyen and Minh Nguyen

10:20-13:30 IsAI-JSAI 2024 invited talk+Lunch

COLLIE Session
13:30-14:00 Pushing the Boundaries of Legal Information Processing with Integration of Large Language Models
Chau Nguyen, Thanh Tran, Khang Le, Hien Nguyen, Truong Do, Trang Pham, Son T. Luu, Trung Vo and Le-Minh Nguyen
14:00-14:30 NOWJ@COLIEE 2024: Leveraging Advanced Deep Learning Techniques for Efficient and Effective Legal Information
Tan-Minh Nguyen, Hai-Long Nguyen, Dieu-Quynh Nguyen, Hoang-Trung Nguyen, Thi-Hai-Yen Vuong and Ha-Thanh Nguyen
14:30-15:00 Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval Processing
Haitao Li, You Chen, Zhekai Ge, Qingyao Ai, Yiqun Liu, Quan Zhou and Shuai Huo

15:00-15:30 Break

COLLIE Session
15:30-16:00 Similarity Ranking of Case Law Using Propositions as Features
Damian Curran and Mike Conway
16:00-16:30 AMHR COLIEE 2024 Entry: Legal Entailment and Retrieval
Animesh Nighojkar, Kenneth Jiang, Logan Fields, Onur Bilgin, Stephen Steinle, Yernar Sadybekov, Zaid Marji and John Licato
16:30-17:00 Improving Robustness in Language Models for Legal Textual Entailment through Artifact-Aware Training
Sabine Wehnert, Venkatesh Murugadas, Preetam Vinod Naik and Ernesto William De Luca

17:00-17:15 Break

COLLIE Session
17:15-17:35 A Hybrid Approach to Legal Textual Entailment
Cor Steging and Ludi van Leeuwen
17:35-18:05 LLM Tuning and Interpretable CoT: KIS Team in COLIEE 2024
Masaki Fujita, Takaaki Onaga and Yoshinobu Kano

18:05-18:10 Closing Remark

Workshop Chairs

Ken Satoh, National Institute of Informatics and Sokendai, Japan
Nguyen Le Minh, Japan Advanced Institute of Science and Technology, Japan

Steering Committee Members

Yoshinobu Kano, Shizuoka University
Takehiko Kasahara, Toin Yokohama University
Nguyen Le Minh, Japan Advanced Institute of Science and Technology, Japan
Makoto Nakamura, Niigata Institute of Technology, Japan
Yoshiaki Nishigai, Chiba University, Japan
Katsumi Nitta, National Institute of Informatics, Japan
Yasuhiro Ogawa, Nagoya University, Japan
Seiichiro Sakurai, Meiji Gakuin University, Japan
Ken Satoh, National Institute of Informatics and Sokendai, Japan
Satoshi Tojo, Asia University, Japan
Katsuhiko Toyama, Nagoya University, Japan
Masaharu Yoshioka, Hokkaido University, Japan

Advisory Committee Members

Trevor Bench-Capon, The University of Liverpool, UK
Henry Prakken, University of Utrecht & Groningen, The Netherlands
John Zeleznikow, Victoria University, Australia
Robert Kowalski, Imperial College London, UK
Kevin Ashley, University of Pittsburgh, USA

Program Committee Members

Ryuta Arisaka, Kyoto University, Japan
Giuseppe Contissa, University of Bologna, Italy
Marina De Vos, University of Bath, UK
Wachara Fungwacharakorn, National Institute of Informatics, Japan
Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India
Randy Goebel, University of Alberta, Canada
Guido Governatori, Charles Sturt University, Australia
Tokuyasu Kakuta, Chuo University, Japan
Yoshinobu Kano, Shizuoka University, Japan
Mi-Young Kim, University of Alberta, Canada
Davide Liga, University of Luxembourg, Luxembourg
Reka Markovich, University of Luxembourg, Luxembourg
Makoto Nakamura, Niigata Institute of Technology, Japan
Maria Navas-Loro, Universidad Politecnica de Madrid, Spain
Ha-Thanh Nguyen, National Institute of Informatics, Japan
Katsumi Nitta, Tokyo Institute of Technology, Japan
Yasuhiro Ogawa, Nagoya City University, Japan
Adrian Paschke, Freie Universitaet Berlin, Germany
Juliano Rabelo, University of Alberta, Canada
Livio Robaldo, University of Swansea, UK
Victor Rodriguez Doncel, Universidad Politecnica de Madrid, Italy
Seiichiro Sakurai, Meiji Gakuin University, Japan
Ken Satoh, National Institute of Informatics and Sokendai, Japan
Jaromir Savelka, Carnegie Mellon University, USA
Akira Shimazu, Japan Advanced Institute of Science and Technology, Japan
Satoshi Tojo, Asia University, Japan
Katsuhiko Toyama, Nagoya University, Japan
Vu Tran, The Institute of Statistical Mathematics, Japan
Bart Verheij, University of Groningen, The Netherlands
Sabine Wehnert, Leibniz Institute for Educational Media | Georg Eckert Institute, Gemrmany
Yueh-Hsuan Weng, Tohoku University, Japan
Hannes Westermann, University of Montreal, Canada
Hiroaki Yamada, Tokyo Institute of Technology, Japan
Masaharu Yoshioka, Hokkaido University, Japan
May Myo Zin, National Institute of Informatics, Japan
Thomas Agotnes, University of Bergen, Norway

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