Philipp Spitzer, M.Sc.

Philipp Spitzer, M.Sc.

  • Kaiserstraße 89
    76133 Karlsruhe


Philipp Spitzer graduated from Karlsruhe Institute of Technology (KIT) with a bachelor's and master's degree in Industrial Engineering and Management. As part of his master's degree he worked as a research assistant at the Energy Production and Innovation Center at University of North Carolina in Charlotte, USA. In 2019, Philipp started to work for Fujitsu as a Data Scientist, where he focused his work on applying his machine learning skills in real-world scenarios to optimize production sites. After almost two and a half years working for Fujitsu, Philipp returned to KIT joining the research group Digital Service Innovation (DSI). In DSI, he is striving within the Applied AI in Services team towards his PhD in cooperation with Trelleborg Sealing Solutions Germany GmbH.

Research Focus

  • Applied Machine Learning & Deep Learning
  • Human-Machine-Collaboration
  • Knowledge Retention



  • Artificial Intelligence in Service Systems (WS 22/23)
  • Artificial Intelligence in Service Systems: Applications in Computer Vision (SS 22)
  • Seminar: Data Science for Industrial Applications (SS 22, SS 23)


Journal Articles
The Impact of Imperfect XAI on Human-AI Decision-Making
Morrison, K.; Spitzer, P.; Turri, V.; Feng, M.; Kühl, N.; Perer, A.
2024. Proceedings of the ACM on human-computer interaction 
Conference Papers
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics
Holstein, J.; Spitzer, P.; Hoell, M.; Vössing, M.; Kühl, N.
2024. Proceedings of the 32nd European Conference on Information Systems (ECIS 2024), Association for Information Systems (AIS) Full textFull text of the publication as PDF document
Journal Articles
ML-Based Teaching Systems: A Conceptual Framework
Spitzer, P.; Kühl, N.; Heinz, D.; Satzger, G.
2023. Proceedings of the ACM on Human-Computer Interaction, 7 (CSCW2), Art.-Nr.: 348. doi:10.1145/3610197
Conference Papers
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice
Schemmer, M.; Bartos, A.; Spitzer, P.; Hemmer, P.; Liebschner, J.; Satzger, G.; Kühl, N.
2023. International Conference on Information Systems, 17 S. doi:10.48550/arXiv.2310.02108Full textFull text of the publication as PDF document
On the Perception of Difficulty: Differences between Humans and AI
Spitzer, P.; Holstein, J.; Vössing, M.; Kühl, N.
2023. AutomationXP23: Intervening, Teaming, Delegating Creating Engaging Automation Experiences, doi:10.48550/arXiv.2304.09803Full textFull text of the publication as PDF document
Learning through XAI: The Role of Learning Systems for Organizations
Spitzer, P.; Kühl, N.; Goutier, M.; Satzger, G.
2023, December 10. 44th International Conference on Information Systems (ICIS 2023), Hyderabad, India, December 10–13, 2023 
Conference Papers
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Spitzer, P.; Kühl, N.; Goutier, M.
2022. Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022), 23rd July, Baltimore. doi:10.48550/arXiv.2207.00497
Conference Papers
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs
Martin, D.; Spitzer, P.; Kühl, N.
2020. 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), Grand Wailea, Maui, HI, January 7-10, 2020 Full textFull text of the publication as PDF document