Carnegie Mellon University
Our shared work concerned reasoning and learning when information is incomplete or uncertain; interpretable AI and how people assess its recommendations. The linked publications developed these topics through research models, methods and evaluations.
Papers and technical reports
Handling uncertainty: An extension of DL-lite with subjective logic
2015 · CEUR Workshop Proceedings
Reasoning about the impacts of information sharing
2015 · Information Systems Frontiers
A framework for using trust to assess risk in information sharing
2013 · Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)