CALL FOR PAPERS
LegalAIIA Workshop Call for Papers:
Participation is invited on all topics relevant to these research themes, including but not limited to:
- Comparative studies examining the effectiveness of AI-enabled systems, tools and approaches versus non-AI-supported versions of the same
- Evaluation studies of actual legal systems and practitioner tools which are enabled by AI functionality
- Comparative studies examining the relative merits of incorporating human input into AI- driven systems via intentional direction vs. passive feedback
- Evaluations of various modes of human-generated relevance feedback – e.g., simple labeling vs more granular feedback
- Novel interaction techniques for legal technology systems
- User studies relevant to legal professionals and tasks (ethnography studies)
- Context-aware AI, including user-specifiable context
- Human-AI Collaboration (machine-directed and human-directed)
- Algorithmic Transparency and User Proprioception
- An examination of the role of explainability or interpretability in AI-supported systems
- Human influence on the Technology Assisted Discovery & Review process
This workshop is an outgrowth of the popular and successful decade-long DESI (Discovery for Electronically Stored Information) series of workshops (http://users.umiacs.umd.edu/~oard/desi7/#History). While we welcome contributions on AI and IA across the entire spectrum of legal informatics, we also welcome more traditional DESI-related submissions as well.
 In the context of the workshop, an ethnographic study refers to a qualitative method where researchers immerse themselves in the environment or operational conditions they are studying.
 Proprioception refers to the perception or awareness of the position and movement of one's own body, in this case, in the context of a user’s awareness of how that user's interactions with a computer system affect the system.
N.B.: At least one author of each accepted paper is required to register for the workshop (as per rules of the conference) and present at the workshop.