Engineering AI Workshop: Research and Practice of AI Systems Engineering

TRIANGLE Open Space, Kaiserstraße 93, Karlsruhe (KIT)

TRIANGLE Open Space, Kaiserstraße 93, Karlsruhe


TRIANGEL Open Space Kaiserstraße 93 76133 Karlsruhe
Michael Beigl (KIT)

AI approaches are integral parts of many software driven systems today. The engineering of both the AI-part (data, model, AI code) itself and its integration into the overall AI-driven system is critical - and now approached from different research groups and research fields.


This workshop tries to bring together researchers from academia and industry to discuss the topic of Engineering AI and Engineering AI systems from many viewpoints and perspectives. The overall outcome of the workshop will be a short position paper summarizing different aspects and viewpoints of Engineering AI.

(supported by Economic Affairs, Labour and Tourism Baden-Württemberg as part of CC-KIng)

Registration for AI Workshop 2022 (Sept 23, KIT, Triangel Open Space)
Michael Beigl
    • 09:30 10:15
      Registration / Welcome
      • 10:00
        Welcome 15m
    • 10:15 12:30
      Morning Session: AI Engineering Viewpoints
      • 10:15
        Position Statements 2h 15m

        In the morning session several pitches given by invited speakers. Speaker span several disciplines, academia to industry:

        • Julius Pfrommer & Constanze Hasterok, Competence Center AI Engineering, Fraunhofer IOSB
        • Franziska Boehm, Division Head Intellectual property rights , FIZ Karlsruhe- Leibnitz Institute for Information Infrastructure
        • Peter Sanders, Head of Institute of Theoretical Informatics, Algorithm Engineering, KIT
        • André Platzer, Alexander von Humboldt Professorship for Artificial Intelligence 2023
        • Sebastian Klumpp, CEO – priceintelligence
        • Victor Pankratius, Director and Head of Global Software Engineering at Bosch Sensortec
        • Marco Huber, Head of Cyber Cognitive Intelligence, Fraunhofer IPA
        • Jan Bosch, Director of Software Center, Chalmers University of Technology

        the definition of AI Engineering: what is AI Engineering - scope and architecture

        the dimensions of AI Engineering: what are important aspects to structure AI Engineering along?

        the process of Engineering AI Systems: what processes and tools does AI Engineering need?

    • 12:00 14:00
      Discussions: with lunch
      • 12:00
        Demos and Posters 2h
      • 12:00
        Lunch 2h
    • 14:00 17:00
      Afternoon Session: Towards a condensed view on AI Engineering
      • 14:00
        Part I: Bottom up Creative Process 1h 15m

        This discussion session will collect aspects of Engineering AI? A bottom-up session to name all the pieces that make up AI Engineering, split into sub-parts definition, methods and tools by using brainstorm methods.

        Focus on creativity, the outcome is a collection of aspects

      • 15:20
        Coffee Break 30m
      • 15:45
        Part II: Top down Define the field 1h 15m

        This discussion session will address the question “What are dimensions for Engineering AI?” A top-down session that tries to assemble the field based on the above aspects.

        We will focus on structuring the aspects, the outcome can be several models, architectures, processes etc. that make up Engineering AI across disciplines (Software Eng., Engineering Disciplines, AI-core/algorithms, legal, economics…)

        A goal would be to find a common view of what makes up AI Engineering over one discipline shared by all attendees, if this is already possible.

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