Prof. Dr.

Wrobel, Stefan

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  • Publication
    A Simple Heuristic for the Graph Tukey Depth Problem with Potential Applications to Graph Mining
    ( 2022)
    Seiffarth, Florian
    ;
    Horvath, Tamas
    ;
    Wrobel, Stefan
    We study a recently introduced adaptation of Tukey depth to graphs and discuss its algorithmic properties and potential applications to mining and learning with graphs. In particular, since it is NP-hard to compute the Tukey depth of a node, as a first contribution we provide a simple heuristic based on maximal closed set separation in graphs and show empirically on different graph datasets that its approximation error is small. Our second contribution is concerned with geodesic core-periphery decompositions of graphs. We show empirically that the geodesic core of a graph consists of those nodes that have a high Tukey depth. This information allows for a parameterized deterministic definition of the geodesic core of a graph.
  • Publication
    Trustworthy Use of Artificial Intelligence
    ( 2019-07)
    Cremers, Armin B.
    ;
    Englander, Alex
    ;
    Gabriel, Markus
    ;
    Hecker, Dirk
    ;
    Mock, Michael
    ;
    Poretschkin, Maximilian
    ;
    Rosenzweig, Julia
    ;
    Rostalski, Frauke
    ;
    Sicking, Joachim
    ;
    Volmer, Julia
    ;
    Voosholz, Jan
    ;
    Voß, Angelika
    ;
    Wrobel, Stefan
    This publication forms a basis for the interdisciplinary development of a certification system for artificial intelligence. In view of the rapid development of artificial intelligence with disruptive and lasting consequences for the economy, society, and everyday life, it highlights the resulting challenges that can be tackled only through interdisciplinary dialog between IT, law, philosophy, and ethics. As a result of this interdisciplinary exchange, it also defines six AI-specific audit areas for trustworthy use of artificial intelligence. They comprise fairness, transparency, autonomy and control, data protection as well as security and reliability while addressing ethical and legal requirements. The latter are further substantiated with the aim of operationalizability.