DATE Save the Date 17 to 19 April 2023


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ASDW05-06 Perspicuous Computing

Session Start
Session End

 

  • Organizers:

    • M. Christakis (MPI SWS)
    • H. Hermanns (U Saarland, Germany)
  • Session Abstract:  

    From autonomous vehicles to Industry 4.0, from smart homes to smart cities – cyber-physical technology increasingly participates in actions and decisions that affect humans. However, our understanding of how these applications interact and what is the cause of a specific automated decision is lagging far behind. This comes with a gradual loss in understanding.

    The root cause of this problem is that contemporary systems do not have any built-in concepts to explicate their behaviour. They calculate and propagate outcomes of computations, but are not designed to provide explanations. They are not perspicuous.

    The key to enable comprehension in a cyber-physical world is a science of perspicuous computing. This session will discuss the foundational, the industrial and the societal dimensions of the perspicuous computing challenge. It is organized by the Center for Perspicuous Computing – TRR 248 – a Collaborative Research Center funded by the German Research Foundation DFG.

  • Session Structure:

    • Introduction: “Enabling comprehension in a cyber-physical world with the human in the loop”
      Holger Hermanns, Universität des Saarlandes
    • Panel: “Is industry or society in need for perspicuous computing? Both? Or neither?”

      • Panel Moderator: Christel Baier, Technische Universität Dresden
      • Panelists:

        • Bernd Finkbeiner

          CISPA Helmholtz Center for Information Security

        • Christof Fetzer

          Technische Universität Dresden

        • Raimund Dachselt

          Technische Universität Dresden

        • Prof. Rupak Majumdar

          Max Planck Institute for Software Systems

        • Dr. Lena Kästner

          Universität des Saarlandes, representing EIS

  • More details: https://www.perspicuous-computing.science/date-2021-session-perspicuous-computing/