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T16: User experience of and validation for industrial grade AI: Case Studies

Monday, 1 July 2024, 13:30 - 17:30 EDT (Washington DC)
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Dr. Christof J. Budnik (short bio)

Siemens Corporation, United States

Dr. Helmut Degen (short bio)

Siemens Corporation, United States

Mr. Alexander Koebler (short bio)

Siemens AG, Germany



We will present and discuss the following topics:

  • What are needs for industrial grade AI when it comes to explanations?
  • What are effective explanations and for whom?
  • What are recent advances in providing effective explanations?
  • How do explanations support validation?
  • How to validate explanations?
  • What are synergies between explanations and validation?



This tutorial is a continuation of the tutorial from last year. We will recap key content from the previous tutorial and augment it with new research results, introducing additional material to broaden the perspective on explainability and validation for industrial-grade AI:

  • User experience: What are explanations needs for different user roles? What are characteristics of effective explanations?
  • Validation: Explain the requirements and application of explainable machine learning models. Two validation problems are addressed: Ensuring the reliability of a ML model and its exploitation of valid explainability content for end users.



  • Shows the relationship of explainability and AI across disciplines.
  • The presented example is an industrial case study with applicability to other industries.
  • The facilitators reserve discussion time during the tutorial to discuss topics of interest and the applicability to other industrial use cases.


Target Audience:

  • Practitioners: R&D, technical teams, ML teams, product management, product owners.
  • Academia: Professors, PhD, and master students.

Bio Sketch of Presenters:

Dr. Christof J. Budnik is a Senior Key Expert Engineer for Model-based Testing and Verification of Intelligent Systems at Siemens Corporation, Princeton, NJ, USA. He leads research and business projects in several industrial domains, striving for innovative assurance technologies and tools to solve real world problems. Before joining Siemens he was head of software quality for a German company within the smart card business. Dr. Budnik obtained his Ph.D. in Electrical Engineering 2006 from the University of Paderborn. He is the author of more than sixty published contributions to international journals and conferences. Dr. Budnik is a regular program committee member of several software engineering conferences and serves as associate guest editor and reviewer for selected journals.

Dr. Helmut Degen is Senior Key Expert for User Experience at Siemens Corporation, Princeton, NJ, USA. Helmut’s research topics are trust, value, and efficiency. He conducts explainable AI (XAI) research at Siemens with a focus on human-computer interaction. Helmut is also the co-chair of the yearly, international conference “AI in HCI” (affiliated with the HCI International conference). He has received a Masters of Science (in German “Diplom-Informatiker”) from the Karlsruhe Institute of Technology and a PhD in Information Science from the Freie Universität Berlin (both in Germany).

Alexander Koebler graduated as Master of Engineering in Electronic and Mechatronic Systems at the Nuremberg Institute of Technology in 2021. This is followed by doctoral studies at an innovation department for industrial AI at Siemens Digital Industries and the Goethe University Frankfurt. In his pursuit of a PhD in the area of Human-Centered AI, Alexander is exploring the intersection between interpretable, interactive and informed machine learning. His tasks within an innovation team also include the development of AI-based solutions for production environments.