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SAIL 2023 : Symposium on Artificial Intelligence and Law

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Link: https://sites.google.com/view/sail-2023/
 
When Feb 24, 2023 - Feb 26, 2023
Where Hybrid
Submission Deadline Jan 15, 2023
Notification Due Feb 17, 2023
Final Version Due Feb 24, 2023
Categories    artificial intelligence   law   machine learning   data science
 

Call For Papers

Symposium on Artificial Intelligence and Law (SAIL 2023)
February 24–26, 2023 | Hybrid event
https://sites.google.com/view/sail-2023/

The Symposium on Artificial Intelligence and Law (SAIL) aims to bring together experts from the Industry and Academia to discuss the future of AI and Law. SAIL provides a venue for AI-Law researchers and law professionals to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of AI in the Legal Domain.

SAIL 2023 will be the 3rd edition in the series, and will be a hybrid event. The in-person event will be at IIIT-Hyderabad, with opportunities for online/virtual participation. SAIL 2023 will consist of invited talks by renowned AI-Law researchers and Law practitioners, tutorials, and a peer-reviewed publication track.

Invited talks

We have a fantastic lineup of invited speakers.
Jason R. Baron, University of Maryland College of Information Studies, USA
Maunendra Sankar Desarkar, Head, Department of Artificial Intelligence, IIT Hyderabad, India
Floris Bex, Professor, Utrecht University, Netherlands & President, International Association for AI and Law (IAAIL)
Serena Villata, Chair in AI, CNRS, and Deputy Scientific Director of the Institute 3IA Côte d’Azur, France
K.V.K. Santhy, NALSAR University of Law, India
John Zeleznikow, Professor, La Trobe University Law School and Victoria University, Australia
Mohit Tuteja, Manager, Applied AI Research - TR Labs at Thomson Reuters
Daniel W. Linna Jr., Senior Lecturer & Director of Law and Technology Initiatives, Northwestern Pritzker School of Law & McCormick School of Engineering, USA

Peer-reviewed papers

The purpose of the peer-reviewed track is to solicit both matured and early-stage works from both the Law and the AI communities, aiming to cover topics related, respectively, to the scope of AI for various domain-specific legal challenges (coming from the Law practitioners / researchers) and their AI-based solutions (coming from the AI community). We welcome submissions describing original work on computational challenges on legal data.

Scope of AI in the legal domain
Applications of NLP to tasks on legal data
Position papers describing new legal tasks for Law-AI, new visions, challenges and changes to existing research practices
Creation of curated and/or annotated datasets that can be publicly released and used by the community to advance Law-AI
Descriptions of systems which use AI technologies over legal data
Industrial applications
Legal or socio-legal analyses relating to the role AI can play in the legal field

Tutorials

There will be tutorials to (1) introduce Law students / practitioners to the basics of AI and its application in the legal domain, and (2) introduce AI students / practitioners to the state-of-the-art and practical problems in Law-AI, with special emphasis on Legal NLP and Legal IR

Sponsors

SAIL 2023 has the following great sponsors:
Thomson Reuters (Diamond) - https://www.thomsonreuters.com/en.html
Technology Innovation Hub at IIIT-Hyderabad (Gold) - https://ihub-data.iiit.ac.in/
Kronicle Research (Silver) - https://www.kronicle.in/homepage

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