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Approach for the identification of requirements on the design of AI-supported work systems (in problem-based projects)

  • 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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Metadaten
Author:Markus Harlacher, Andrea Altepost, Ingo ElsenORCiD, Alexander FerreinORCiD, Adjan Hansen-Ampah, Wolfgang Merx, Sina Niehues, Stefan SchifferORCiD, Fatemeh Nasim Shahinfar
DOI:https://doi.org/10.1515/9783110790320
ISBN:9783110790320
Parent Title (English):AI in Business and Economics
Publisher:De Gruyter
Place of publication:Berlin
Editor:Isabel Lausberg, Michael Vogelsang
Document Type:Part of a Book
Language:English
Year of Completion:2024
Date of the Publication (Server):2024/09/19
Tag:Business understanding; Im-plementation of AI-systems; Participation; Process model; Requirements
First Page:87
Last Page:99
Link:https://doi.org/10.1515/9783110790320
Zugriffsart:weltweit
Institutes:FH Aachen / ECSM European Center for Sustainable Mobility
FH Aachen / Fachbereich Elektrotechnik und Informationstechnik
FH Aachen / MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik
open_access (DINI-Set):open_access
collections:Verlag / De Gruyter
Open Access / Gold
Licence (German): Creative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung