Operational Explications of Classifier Predictions ((11) A05)

• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
• Term: from 2019 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 389792660

We develop an explication framework for machine learning techniques with a particular focus on neural networks. As current classifiers are extremely brittle, we will work on provable robustness of the classifier decisions. For such robust classifiers we will provide operational explications presenting to the user how the input would have to change so that the classifier changes its decision, giving priority to slight changes in input. We will investigate efficient visualisation and presentation of the results, aiming at an interactive process exploring operational explications in the neighbourhood of the original input, supporting users in plausibilising the classifier decision, and supporting experts in machine learning when debugging.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 248: Foundations of Perspicuous Software Systems - Enabling Comprehension in a Cyber-Physical World
• Applicant Institution: Universität des Saarlandes
• Project Heads: Professor Dr. Stefan Gumhold; Professor Dr. Matthias Hein