Human-aided computer cognition for e-discovery

Throughout its history, AI researchers have alternatively seen their mission as producing computer behavior that is indistinguishable from that of humans or as providing computational tools to augment human intelligence. The legal context provides a particularly rich domain for exploring the benefits of both approaches because human judgments are central to the delivery of just outcomes with formal mechanisms for challenging any and all judgments within its core practices and institutions. Through exploration of legal ediscovery, we explicitly address these alternative paradigms for applying interdisciplinary sciences to knowledge-based systems. We demonstrate through a series of quantitative studies that a system architecture for Human-Aided Computer Cognition automates and replicates judgments significantly better than the ubiquitous, traditional ComputerAided Human Cognition of senior attorney relevance as is defined in legal practice. Keywords Information Retrieval, Knowledge Re...

• Type: Conference
• Year: 2009
• Where: ICAIL
• Authors: Christopher Hogan, Robert Bauer, Dan Brassil
• Keywords: Artificial Intelligence, ComputerAided Human Cognition, Human Judgments, ICAIL 2009, Judgments