TOPML – TRADING OFF NON-FUNCTIONAL PROPERTIES OF MACHINE LEARNING
The TOPML-project, funded by the Carl-Zeiss-Stiftung, has the goal to establish an interdisciplinary research center for Machine Learning at the University of Mainz.
Here, interactions and dependencies of different properties of Machine Learning will be studied. The research topics which will be investigated include transparency and fairness of data and algorithms, as well as data protection requirements and efficient use of resources such as electricity. A strong focus will be given to their competing needs. As an example, how decentralized can data be stored and processed to protect privacy? To what extent does decentralization affect the transparency of algorithms and data? What impact does this have on energy consumption? These various trade-offs will be identified and characterized to create workable trade-offs. Ethical and legal aspects will be considered.
Researchers from Johannes Gutenberg University (JGU) Mainz (from computer science, mathematics, law, ethics, and book studies), from the University of Applied Sciences Mainz, and from the University Medical Center Mainz, as well as supporting staff from the q+ and Ada Lovelace programs of JGU are working closely together in the research project.