A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities

Fabrizio Nunnari, Daniel Sonntag

In: Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS-2021) June 8-11 Eindhoven/Virtual Netherlands EICS '21 ISBN 9781450384490 Association for Computing Machinery 2021.


We describe the software architecture of a toolbox of reusable components for the configuration of convolutional neural networks (CNNs) for classification and labeling problems. The toolbox architecture has been designed to maximize the reuse of established algorithms and to include domain experts in the development and evaluation process across different projects and challenges. In addition, we implemented easy-to-edit input formats and modules for XAI (eXplainable AI) through visual inspection capabilities. The toolbox is available for the research community to implement applied artificial intelligence projects.


Weitere Links

nunnari21EICS-TIML.pdf (pdf, 2 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence