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Assistant Professorship for Intelligent Information Systems
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  1. Friedrich-Alexander-Universität
  2. School of Business, Economics and Society

Assistant Professorship for Intelligent Information Systems

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      • Prof. Dr. Patrick Zschech
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  3. AI Adoption and Use

AI Adoption and Use

In page navigation: Research
  • Interpretable Machine Learning
  • Industrial Data Science
  • Deep Vision Systems
  • Process Analytics
  • AI Adoption and Use
  • Data Science Qualification
  • Other Research
  • Publications
    • Journal Articles
    • Conference Articles
    • Book Chapters
    • Thesis
    • Others
  • Talks

AI Adoption and Use

The research field is concerned with the adoption and use of artificial intelligence technologies as well as with approaches to increase acceptance in socio-technical environments.

Publications

  • Wanner J., Herm LV., Heinrich K., Janiesch C., Zschech P.:
    White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems
    40th International Conference on Information Systems (ICIS) (Virtual Conference, 13. December 2020 - 16. December 2020)
    In: Association for Information Systems (ed.): Proceedings of the 40th International Conference on Information Systems 2020
    URL: https://aisel.aisnet.org/icis2020/hci_artintel/hci_artintel/14/
  • Wanner J., Heinrich K., Janiesch C., Zschech P.:
    How Much AI Do You Require? Decision Factors for Adopting AI Technology
    41st International Conference on Information Systems (ICIS) (Virtual Conference, 13. December 2020 - 16. December 2020)
    In: Association for Information Systems (ed.): Proceedings of the 41st International Conference on Information Systems 2020
    URL: https://aisel.aisnet.org/icis2020/implement_adopt/implement_adopt/10/
  • Janiesch C., Zschech P., Heinrich K.:
    Machine Learning and Deep Learning
    In: Electronic Markets 31 (2021), p. 685–695
    ISSN: 1019-6781
    DOI: 10.1007/s12525-021-00475-2
    URL: https://link.springer.com/article/10.1007/s12525-021-00475-2
  • Zschech P., Walk J., Heinrich K., Vössing M., Kühl N.:
    A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
    29th European Conference on Information Systems (ECIS) (Virtual Conference, 14. June 2021 - 16. June 2021)
    In: Proceedings of the 29th European Conference on Information Systems (ECIS) 2021
    URL: https://aisel.aisnet.org/ecis2021_rp/127/
  • Heinrich K., Zschech P., Skouti T., Griebenow J., Riechert S.:
    Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems
    25th Americas Conference on Information Systems (AMCIS) (Cancún, 15. August 2019 - 17. August 2019)
    In: Proceedings of the 25th Americas Conference on Information Systems 2019
    URL: https://aisel.aisnet.org/amcis2019/ai_semantic_for_intelligent_info_systems/ai_semantic_for_intelligent_info_systems/8/
  • Zschech P., Weinzierl S., Hambauer N., Zilker S., Kraus M.:
    GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
    European Conference on Information Systems (Timisoara, 5. July 2022 - 9. July 2022)
    In: Proceedings of the 30th European Conference on Information Systems 2022
  • Graf J., Lancho G., Zschech P., Heinrich K.:
    Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations
    European Conference on Information Systems (Timisoara, 18. June 2022 - 24. June 2022)
    In: Proceedings of the 30th European Conference on Information Systems 2022
    URL: https://aisel.aisnet.org/ecis2022_rp/104/
  • Schoormann T., Strobel G., Möller F., Petrik D., Zschech P.:
    Artificial Intelligence for Sustainability—A Systematic Review of Information Systems Literature
    In: Communications of the Association for Information Systems 52 (2023), Article No.: 8
    ISSN: 1529-3181
    URL: https://aisel.aisnet.org/cais/vol52/iss1/8/
FAU Erlangen-Nürnberg
Assistant Professorship for Intelligent Information Systems

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