Approach for the Identification of Requirements on the Design of AI-supported Work Systems (in Problem-based Projects). Harlacher, M., Altepost, A., Ferrein, A., Hansen-Ampah, A., Merx, W., Niehues, S., Schiffer, S., & Shahinfar, F. N. In Lausberg, I. & Vogelsang, M., editors, AI in Business and Economics, 7, pages 87–100. De Gruyter, Berlin, Boston, 2024. ![Approach for the Identification of Requirements on the Design of AI-supported Work Systems (in Problem-based Projects) [link]](https://bibbase.org/img/filetypes/link.svg "link")
Doi Pdf doi abstract bibtex To successfully develop and introduce concrete artificial intelligence (AI) solutions in operational practice, a comprehensive process model is being tested in the WIRKsam joint project. It is based on a methodical approach that integrates human, technical and organisational aspects and involves employees in the process. The chapter focuses on the procedure for identifying requirements for a work system that is implementing AI in problem-driven projects and for selecting appropriate AI methods. This means that the use case has already been narrowed down at the beginning of the project and must be completely defined in the following. Initially, the existing preliminary work is presented. Based on this, an overview of all procedural steps and methods is given. All methods are presented in detail and good practice approaches are shown. Finally, a reflection of the developed procedure based on the application in nine companies is given.
@incollection{ Harlacher-etAl_EPAI2023_Identification-of-Requirements,
chapter = {7},
title = {Approach for the Identification of Requirements on the Design of AI-supported Work Systems (in Problem-based Projects)},
author = {Markus Harlacher and Andrea Altepost and Alexander Ferrein and Adjan Hansen-Ampah and Wolfgang Merx and Sina Niehues and Stefan Schiffer and Fatemeh Nasim Shahinfar},
booktitle = {AI in Business and Economics},
editor = {Isabel Lausberg and Michael Vogelsang},
publisher = {De Gruyter},
address = {Berlin, Boston},
pages = {87--100},
doi = {10.1515/9783110790320-007},
url_doi = {https://doi.org/10.1515/9783110790320-007},
url_pdf = {https://www.degruyter.com/document/doi/10.1515/9783110790320-007/pdf?licenseType=open-access},
isbn = {9783110790320},
year = {2024},
keywords = {WIRKsam, business understanding, requirements, process model, participation, implementation of AI-systems, Artificial Intelligence, AI},
abstract = {To successfully develop and introduce concrete
artificial intelligence (AI) solutions in
operational practice, a comprehensive process model
is being tested in the WIRKsam joint project. It is
based on a methodical approach that integrates
human, technical and organisational aspects and
involves employees in the process. The chapter
focuses on the procedure for identifying
requirements for a work system that is implementing
AI in problem-driven projects and for selecting
appropriate AI methods. This means that the use case
has already been narrowed down at the beginning of
the project and must be completely defined in the
following. Initially, the existing preliminary work
is presented. Based on this, an overview of all
procedural steps and methods is given. All methods
are presented in detail and good practice approaches
are shown. Finally, a reflection of the developed
procedure based on the application in nine companies
is given.},
}
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