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.