Creating explanations in collaborative human–machine knowledge exploration (C05)

• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Methods in Artificial Intelligence and Machine Learning
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 438445824

C05 investigates how humans and AI systems can jointly explore a decision space to make an explainable and well-founded decision. We focus on diagnostic decision-making in medicine and combine empirical studies on physicians' exploration strategies and cognitive biases, as well as on assessments of explanations and argument strength, with the development of an AI-based assistance system (ASCODI) that supports medical experts during a diagnostic process. In the second phase, we will comprehensively test this approach and extend it to the (co-)construction of arguments through interactive identification, evaluation, and verification of hypotheses and evidence.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 318: Constructing explainability
• Applicant Institution: Universität Paderborn
• Project Heads: Professor Dr. Philipp Cimiano; Professor Dr.-Ing. Stefan Kopp