Interactive learning of explainable, situation-adapted decision models (C02)

• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Accounting and Finance
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 438445824

The focus of Project C02 investigates a novel approach through which the space of possible models explaining a certain decision can be explored interactively by a user until a model is found that satisfies the needs of the user in terms of the trade-off between accuracy and model complexity. The project defines and explores a refinement relation that defines a lattice as an explanation space from which explanations can be selected.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 318: Constructing explainability
• Applicant Institution: Universität Paderborn
• Project Heads: Professor Dr. Eyke Hüllermeier; Professorin Dr. Kirsten Thommes