A call for papers has been issued for the ICAIL 2015 DESI VI Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance, scheduled to be held 8 June 2015 at the University of San Diego, San Diego, California, USA.
The workshop is being held in conjunction with ICAIL 2015: International Conference on Artificial Intelligence and Law.
The submission deadlines for the DESI VI workshop are 10 April 2015 for refereed papers, and 1 May 2015 for unrefereed position papers.
Here is an excerpt from the description of the workshop’s purpose:
The DESI VI workshop aims to bring together researchers and practitioners to explore innovation and the development of best practices for application of search, classification, language processing, data management, visualization, and related techniques to institutional and organizational records in e-discovery, information governance, public records access, and other legal settings.
Questions addressed include:
- What combinations of machine learning and other techniques can best categorize information in accordance with existing records management policies?
- Do effective methods exist for performing sentiment analysis and personal information identification in a legally useful way in e-mail and other records of interpersonal communication?
- How well can we estimate the end-to-end costs of workflows that combine artificial intelligence and human coding to accomplish legal tasks on a broad range of content types?
- Can proactive insider threat detection leverage information already being collected for records management purposes, and what would be the ethical and legal fallout of such approaches?
- Are approaches available to reduce the perceived conflicts between privilege and transparency in labeling data for Technology-Assisted Review (TAR) in e-discovery and public records access applications?
- What technical, procedural, and legal issues arise from recent proposals to shift the focus of e-discovery from relevance to materiality?
- Where do recent legal cases point to the need for new research to better inform the decision of courts and the practices of parties?
- What lessons can we draw from recent shared-task evaluations such as TREC and EDI, and how can future shared-task evaluations best be structured?
- How can current techniques for issue coding be applied to compliance tasks (e.g., in regulatory, enforcement, and investigations settings), and what capability gaps exist that call for new research?
- What implications do emerging technologies such as deep learning and fine-grained access to behavioral traces have for e-discovery, business intelligence, and records and information management purposes? […]
For more details, please see the complete call.