Training

Pre-Stages of GenAI Governance via Managerial Communication

Pre-Stages of GenAI Governance via Managerial Communication

Exploratory findings from SMEs in the Ruhr area
Niklas Obermann ORCID Icon, Uta Wilkens ORCID Icon, Antonia Weirich ORCID Icon, Matthias E. Cichon ORCID Icon, Jürgen Mazarov, Bernd Kuhlenkötter ORCID Icon
The governance of generative artificial intelligence (GenAI) usage is often described as a formalized reporting system. This neglects the early-stage mechanisms of coping with ethical challenges during the GenAI implementation period. Exploratory empirical findings from the Ruhr area reveal that managerial communicative practices serve as a substitute for missing institutional structures, particularly at an early stage of GenAI implementation in SMEs.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 6-13 | DOI 10.30844/I4SE.26.1.6
Ethical AI in the Workplace Through Value-Based Labels?

Ethical AI in the Workplace Through Value-Based Labels?

Lessons learned from applying the VCIO framework to an AI-based assistant
Natalie Martin ORCID Icon, Tobias Kopp ORCID Icon, Natalie Beyer, Jochen Wendel ORCID Icon, Steffen Kinkel ORCID Icon
The AI Ethics Label represents a promising approach to promoting ethical AI and appropriate trust in AI systems. However, its practical application reveals some challenges due to its conservative assessment approach, limited context sensitivity, lack of benchmarks, and interpretation aids. Improvements are needed to unlock its full potential.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 30-38 | DOI 10.30844/I4SE.26.1.30
AI Skills for Responsible Use

AI Skills for Responsible Use

Realistic learning environments, critical thinking, and role design in teams
Valentin Langholf ORCID Icon, Niklas Obermann ORCID Icon, Uta Wilkens ORCID Icon, Marco Kuhnke, Michael Prüfer
Artificial intelligence (AI) is changing the world of work. But how can work teams learn to use AI support in a way that delivers speed advantages and ensures consistently high quality? One possible approach is to test it in a workplace-like simulation. Trying it out under realistic conditions shows the role that critical thinking plays.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 100-107 | DOI 10.30844/I4SE.26.1.92
Adapting AI Work Systems for Human-Centeredness

Adapting AI Work Systems for Human-Centeredness

A methodical approach for exploring the design space in transdisciplinary teams
Florian Bülow ORCID Icon, Michael Herzog ORCID Icon, Sophie Berretta ORCID Icon, Dominik Arnold ORCID Icon, Christian Els, Bernd Kuhlenkötter ORCID Icon
Designing adaptations in AI-based work systems poses a central challenge for achieving human-centered AI (HCAI). This paper presents a methodical approach that enables transdisciplinary teams to systematically explore and structure the design space of adaptable work systems. Building on an extended work system model and operationalized through a matrix-based framework, the method supports the identification of interdependencies, stakeholder perspectives, and context-specific goals. Its practical applicability is demonstrated through a real-world case study in radiographic non-destructive testing.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 44-53 | DOI 10.30844/I4SE.26.1.136
Work Design for Learning and Competence Development

Work Design for Learning and Competence Development

Emerging ways of organizing and supporting learning in digitally transformed workplaces
Peter Dehnbostel
Learning and skill-enhancing work designs are essential for new work and organizational concepts such as “learning organizations” and “Industry 4.0.” Developing and applying criteria for promoting learning and skills development in digitally transformed work environments enables more effective and efficient work processes, makes work more people-centered, and the AI-based future of work more manageable. Digitalization is also introducing work-integrated learning formats such as online communities, learning platforms, and digital cognitive assistance systems that already meet many of these criteria. In the future, designing work environments that promote learning and skills development will become a central task of corporate training and personnel and organizational development.
Industry 4.0 Science | Volume 41 | 2025 | Edition 6 | Pages 58-64
Potentials, Premises, Perspectives

Potentials, Premises, Perspectives

Using LLMs to reinterpret corporate knowledge management
Vanessa Kuks ORCID Icon, Pius Finkel ORCID Icon, Peter Wurster ORCID Icon
Demographic change is exacerbating the shortage of labor and skilled workers in the manufacturing industry, making knowledge management an increasingly important issue in many companies. Collecting and preserving tacit knowledge poses a particular challenge. This study examines the extent to which large language models (LLMs) can provide meaningful support in knowledge gathering through expert interviews. Three experts test and evaluate a personalized chatbot that has been developed using ChatGPT-5. The results of the interview are promising, but the summary shows room for improvement.
Industry 4.0 Science | Volume 41 | Edition 6 | Pages 48-56 | DOI 10.30844/I4SE.25.6.48
Virtual Exhibition as a Digital Twin

Virtual Exhibition as a Digital Twin

A framework for decision-making for virtual representations
Isger Glauninger ORCID Icon, Markus Schürmann, Matthias Mühl, Christian van Husen ORCID Icon
Transforming formats such as showrooms, laboratories or exhibitions into a virtual presence offers both opportunities and challenges. Particularly with cyber-physical systems (CPS), which rely heavily on user interaction, extensive adaptations must be made in order to maintain their purpose and function virtually. As part of this research project, digital solutions from different technologies and fields of application were transferred to a virtual exhibition. On this basis, the influence of the digital transformation on the interactivity and emulation of the solutions was analyzed. This article presents a framework that supports practitioners in the implementation of virtual representations.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 110-116
Hybrid Learning Landscapes for Technical Concepts

Hybrid Learning Landscapes for Technical Concepts

The digitalization of training via practical concepts and targeted networking
Sebastian Anselmann ORCID Icon, Jessica Wädt, Uwe Faßhauer ORCID Icon
The Länder- und Phasenübergreifende Interface (LPI) (engl. Cross-Regional and Cross-Phase Interface) promotes the sustainable digitalization of vocational and technical education through the systematic provision of expertise and innovative networking formats. The focus is on hybrid learning landscapes (HLL), which interlink physical and digital learning spaces to create individualized, practical learning environments. Innovative approaches such as learning factories, VR/AR and learning analytics are integrated.
Industry 4.0 Science | Volume 41 | Edition 3 | Pages 126-132
The “InTraLab” Learning Factory

The “InTraLab” Learning Factory

Gaining experience and knowledge in digitally transformed work environments
Norbert Gronau ORCID Icon, Malte Rolf Teichmann, Malte Teichmann
Learning factories offer a practical environment for simulating production processes in which learners can acquire skills through the direct application of new technologies. The Industrial Transformation Lab (InTraLab) models hybrid production processes by combining real-world demonstrators and virtual simulations. This enables learners to acquire the skills that are crucial for the digitally transformed world of work.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 46-51
Work-Integrated Learning in Industry 4.0

Work-Integrated Learning in Industry 4.0

A qualitative analysis of various assistance systems in assembly
Kathleen Warnhoff ORCID Icon
In the era of Industry 4.0, many industrial companies are facing major transformations. In the process of digitalization, factory management is adopting new technologies such as cognitive assistance systems, which has led to changes in work processes. Regarding assembly in the metal and electrical industries, it is unclear to what extent this development has promoted work-integrated learning. Therefore, the topic of this paper is a qualitative analysis that explores employees' perceptions of the learning opportunities and risks presented by cognitive assistance systems. Results: Not all assembly employees benefit equally from these new developments.
Industry 4.0 Science | Volume 41 | Edition 2 | Pages 20-29 | DOI 10.30844/I4SE.25.2.20
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