HOnEst aims to improve the quality of ontologies through scalable human-centric evaluation, so that they enable a factually correct and unbiased (i.e., honest) AI system behaviour.
Ontologies are advanced data structures that help capture knowledge and as such provide trusted information in modern AI systems.
The HOnEst project is funded by the FWF Austrian Science Fund under the FWF Elise Richter programme (project number V 745).
Vienna University of Economics and Business (WU)
Department of Information Systems and Operations Management
Institute for Data, Process and Knowledge Management
Building D2, 3rd Floor
Welthandelsplatz 1, 1020 Vienna, Austria
marta.sabou[at]wu.ac.at
