Autor: Manfred Wannöffel

Co-Determination Dialogues

Co-Determination Dialogues

A tool for human-centered AI implementation
Manfred Wannöffel ORCID Icon, Fabian Hoose ORCID Icon, Alexander Ranft, Claudia Niewerth ORCID Icon, Dirk Stüter
As part of the regional competence center humAIne, funded by the Federal Ministry of Research, Technology, and Space (BMFTR), a process was developed using co-determination dialogues to establish a common understanding of the challenges involved in the introduction of artificial intelligence (AI) between management, employees, and interest groups. Experiences from project partner companies such as Doncasters Precision Castings in Bochum GmbH (DPC) exemplify how co-determination dialogues not only help to develop legally binding regulations for manageable, operationally anchored, sustainable AI use but also initiate continuous qualification processes for all stakeholder groups in accordance with Articles 4 and 5 of the EU AI Act.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 92-98 | DOI 10.30844/I4SE.26.1.84
Human-Centered AI in Companies with Employee Representation

Human-Centered AI in Companies with Employee Representation

Using the HUMAINE model for a company-specific works agreement
Alexander Ranft, Fabian Hoose ORCID Icon, Claudia Niewerth ORCID Icon, Mathias Preuß, Manfred Wannöffel ORCID Icon
The introduction of artificial intelligence (AI) in companies poses new challenges for regulation and co-determination. Binding requirements have been in force since the 2025 EU AI Act, which must be linked nationally with the Works Constitution Act (BetrVG). The regional competence center humAine has developed a model works agreement on AI (MBV KI) in accordance with Section 77 BetrVG, which strengthens co-determination rights in companies and implements European regulations in a practical way. Flanked by co-determination dialogues, the MBV KI enables company-specific adaptation for responsible and human-centered AI use. Using selected parts of the MBV KI as examples, this article shows how a framework works agreement on AI can be designed and discusses its transferability to companies without a works council. The MBV KI presented here contributes to the sustainable, socially secure design of the digital transformation.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 14-21 | DOI 10.30844/I4SE.26.1.14
Digital and Ecological Transformation in Companies

Digital and Ecological Transformation in Companies

Challenges and potential in interaction
Manfred Wannöfel, Bernd Kuhlenkötter ORCID Icon, Christopher Prinz ORCID Icon, Fabian Hoose ORCID Icon, Manfred Wannöffel ORCID Icon
Although the concept of double transformation is being intensely discussed in companies, the practical implementation in operational structures often remains unclear. This article sheds light on how digital technologies and environmental sustainability strategies can be developed either synergistically, antagonistically or independently of each other. In addition, it discusses the different experiences of employees in different industries and the varying progress in the introduction of digital and ecological measures. To this end, it will discuss existing research findings and practical examples that pave the way for the successful integration of both transformation processes in companies.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 34-42 | DOI 10.30844/I4SE.24.5.34
Learning Factory for Imparting Different Competences

Learning Factory for Imparting Different Competences

Experience work design and management in a training factory
Christopher Prinz ORCID Icon, Friedrich Morlock, Pia Sabrina Wagner, Dieter Kreimeier, Manfred Wannöffel ORCID Icon
Learning factories in Germany concentrate on the two classic aspects of production: Optimization of production processes (lean management) as well as the efficient use of resources. The learning factory of the chair of production systems at Ruhr-University Bochum considers also the topic management and organization of labour to convey competences in the field of co-determination. In cooperation between the faculty of mechanical engineering and social sciences as well as the office of cooperation RUB/IMU different learning factory exercises have been developed, which impart this learning factory a special significance.
Industrie Management | Volume 30 | 2014 | Edition 3 | Pages 39-42