FMLA: Forum Machine Learning Augsburg


Project start: 01.11.2017
Duration: 2 years
Funded by: BMBF (Bundesministerium für Bildung und Forschung)
Scientifically responsible: Prof. Dr. Elisabeth André
Involved researchers at our lab:  Dr. Tobias Baur  Dominik Schiller  Alexander Heimerl
© University of Augsburg

About the project


Together with the chairs of Organic Computing and Multimedia Computing, the practical training in the field of machine learning is to be expanded and deepened. For this purpose, a practical course with a focus on interactive machine learning will be created and carried out. 



The focus of the project is the development and implementation of a new course with a focus on interactive machine learning (iML). We define iML as machine learning in which the human being is a central part, interactively intervening at various points in the learning process. He monitors the results of the machine and provides input and corrections to improve the learning process.
While traditional ML systems limit human input to the provision of annotations, iML is concerned with creating interaction design guidelines for ML systems, and developing new methods to incorporate human expertise into the ML process. This makes systems more transparent and understandable, which overlaps with the current emerging research trend of "explainable AI" (XAI).