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.

The Winners for COLIEE 2024 (a link to the certificate)

Task 1:
Team name: TQM
Affiliation: Tsinghua University, Quancheng Lab, MegaTech.AI, China
Task 2:
Team name: AMHR
Affiliation: University of South Florida, USA
Task 3:
Team name: CAPTAIN
Affiliation: Japan Advanced Institute of Science and Technology, Japan
Task 4:
Team name: CAPTAIN
Affiliation: Japan Advanced Institute of Science and Technology, Japan

The Summary Slides for COLIEE 2024

Task 1
Task 2
Task 3
Task 4

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 Contestable 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.

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