Responsible Artificial Intelligence. Challenges in Research, University, and Society

Abstract

Modern AI is mainly machine learning. And machine learning is dramatically changing our civilization. We rely more and more on efficient algorithms, because otherwise the complexity of our civilizing infrastructure would not be manageable: Our brains are too slow and hopelessly overwhelmed by the amount of data we have to deal with. But how secure are AI algorithms? In a first part, we will consider the current challenges of AI research and, in the second part, ask for a research strategy leading to responsible AI on the background of an AI-roadmap of Standardization of the German Government. Finally, responsible AI is considered as an example of modern cross-over research which will be typical for future universities. The author, as former head of the Carl von Linde Academy and founding director of the Munich Center for Technology in Society (MCTS), reminds the reader of the beginning of this kind of research at the Technical University of Munich and recently at the Eberhard Karls University of Tübingen.