An Introduction to the Field of Artificial Intelligence and Law
The goal of the tutorial is to provide the audience with sufficient background to enable them to appreciate and to engage with the ideas and issues presented in the remainder of the 2015 Conference on Artificial Intelligence and Law (ICAIL 2015) in San Diego, California, USA. The tutorial is intended for newcomers to the field of Artificial Intelligence and Law or those who wish to have a 'refresher' course. No technical knowledge on the part of the audience will be assumed.
Interested participants are welcome to contact the presenters for questions and detailed information.
Date, Time and Location
Monday, June 8. Precise time and location to be announced.
- Formalizing legislation using logic
- Deducing vs. arguing from legal rules: Argument schema and diagrams
- Lessons learned about modeling legal rules
- Representing legal concepts with ontologies
- Case-based models of legal reasoning
- Predicting outcomes of legal disputes
- Extracting information from legal texts
- Intelligent legal Information retrieval
- Some current issues in AI and Law
- Argument schemes for reasoning with values, purposes, and principles
- Analyzing electronically stored information in pretrial e-discovery.
- Annotating legal texts in terms of argument schema so that programs can learn to extract arguments
- Kevin D. Ashley
Professor of Law and Intelligent Systems, University of Pittsburgh School of Law
Senior Scientist, Learning Research and Development Center
3939 O'Hara Street, Room 519, Pittsburgh, PA 15260
Phone: 412/624-7496, 648-1495, Fax: 412/624-9149
ashley at pitt dot edu
- Matthias Grabmair
Ph.D. Student, Intelligent Systems Program, University of Pittsburgh
3939 O'Hara Street, Room 729, Pittsburgh, PA 15260
mag134 at pitt dot edu