A dialog-based approach to explaining machine learning models (B01)

• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics ; Communication Sciences
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 438445824

In contrast to current models of algorithmic transparency assuming a purely algorithmic construction of the explanation, Project B01 adopts a co-construction approach to the interactive and domain-specific process between explainer and explainee. The goal is to elicit and co-construct a generic and instantiable dialog protocol that is practiced within a specific domain of social relevance (health, insurance, or policing). The interactive question–answering protocol will focus on counterfactual questions that enhance the understanding of how inputs relate to outputs of a classifier.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 318: Constructing explainability
• Applicant Institution: Universität Paderborn
• Project Heads: Professor Dr. Philipp Cimiano; Professorin Dr. Elena Esposito; Professor Dr. Axel-Cyrille Ngonga Ngomo