Prof. Dr. Matthias Uhl

Professur für Gesellschaftliche Implikationen und Ethische Aspekte der Künstlichen Intelligenz, Technische Hochschule Ingolstadt

Publikationen

  • Krügel, Sebastian; Ostermaier, Andreas; Uhl, Matthias (2023)

    Algorithms as partners in crime: A lesson in ethics by design

    Zeitschriftenaufsatz
    Projekt: ReGInA
  • Ammeling, Jonas; Manger, Carina; Kwaka, Elias; Krügel, Sebastian; Uhl, Matthias; Kießig, Angelika; Fritz, Alexis; Ganz, Jonathan; Riener, Andreas; Bertram, Christof A.; Breininger, Katharina; Aubreville, Marc (2023)

    Appealing but Potentially Biasing – Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making

    Konferenzpapier
    ISBN: 9798400707711
    Projekt: ReGInA
  • Gogoll, Jan; Uhl, Matthias (2020)

    Leviathan for sale

    The fallacy of trusting in people instead of institutions

    Zeitschriftenaufsatz
    Projekt: EDAP
  • Uhl, Matthias (2022)

    Order Ethics: A Contemporary Ethics for the Digital Society

    Beitrag in ...
    Projekt: NWG-Ethics of Digitization
  • Jauernig, Johanna; Uhl, Matthias; Walkowitz, Gari (2022)

    People Prefer Moral Discretion to Algorithms: Algorithm Aversion Beyond Intransparency

    Zeitschriftenaufsatz
    Projekt: NWG-Ethics of Digitization
  • Krügel, Sebastian; Ostermaier, Andreas; Uhl, Matthias (2022)

    Zombies in the loop? Humans trust untrustworthy AI-advisors for ethical decisions

    Zeitschriftenaufsatz
    Projekt: ReGInA
  • Rosbach, Emely; Ammeling, Jonas; Krügel, Sebastian; Kießig, Angelika; Fritz, Alexis; Ganz, Jonathan; Puget, Chloé; Donovan, Taryn; Klang, Andrea; Köller, Maximilian C.; Bolfa, Pompei; Tecilla, Marco; Denk, Daniela; Kiupel, Matti; Paraschou, Georgios; Kok, Mun Keong; Haake, Alexander F. H.; de Krijger, Ronald R.; Sonnen, Andreas F.-P.; Kasantikul, Tanit; Dorrestein, Gerry M.; Smedley, Rebecca C.; Stathonikos, Nikolas; Uhl, Matthias; Bertram, Christof A.; Riener, Andreas; Aubreville, Marc. (2025)

    „When Two Wrongs Don’t Make a Right“ – Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology

    Konferenzpapier
    Projekt: ReGInA