Design

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
Multi-Stakeholder AI Ethics in Radiology

Multi-Stakeholder AI Ethics in Radiology

Implications for integrated technology and workplace design
Valentin Langholf ORCID Icon, Alexander Ranft, Lena Will, Robin Denz ORCID Icon, Johannes Schwarz ORCID Icon, Majd Syoufi, Pavlos Rath-Manakidis, Marc Kämmerer, Marcus Kremers, Axel Mosig ORCID Icon, Uta Wilkens ORCID Icon, Jörg Wellmer ORCID Icon
AI assistance can be seen as a welcome aid in radiology, a highly complex environment characterized by round-the-clock time pressure and quality expectations. However, it must meet high ethical standards from the perspective of both users and patients. It is a challenge to incorporate this human-centered approach into the development and introduction of AI applications.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 136-143 | DOI 10.30844/I4SE.26.1.128
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, Michael Herzog, Sophie Berretta ORCID Icon, Dominik Arnold, 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
Has the Time Come for an Energy Revolution in Intralogistics?

Has the Time Come for an Energy Revolution in Intralogistics?

The current status of hydrogen fuel cell-powered MHE
Joseph W. Dörmann
Hydrogen fuel cells promise to be a sustainable alternative to fossil fuel or battery-electric material handling equipment (MHE) in various production or warehouse contexts. Short refuelling times, an absence of carbon emissions, and constant power input put fuel cell-powered MHE at an advantage in high-intensity work environments. However, various barriers to the adoption of fuel cells remain, including considerations surrounding cost and efficiency.
Industry 4.0 Science | Volume 41 | 2025 | Edition 6 | Pages 74-80
Loam Construction and Wooden Shelving

Loam Construction and Wooden Shelving

A contribution to sustainability in warehouse logistics
Viviano De Giacomo ORCID Icon, Nathalie Fritsch ORCID Icon, Jakob Kennert ORCID Icon, Dieter Uckelmann ORCID Icon
This study examines the contribution of natural building materials, in particular loam and wood, to the sustainable development of logistics infrastructure, assessing ecological, economic, and technical dimensions across the entire life cycle. Potentials, restrictions, and supportive framework conditions are identified based on literature analyses and expert interviews. Wood proves to be technically mature and ecologically advantageous, especially in high rack construction, while loam offers high potential for energy- and resource-efficient construction. The study concludes with recommendations for research, policy, and practice to establish circular construction methods in logistics.
Industry 4.0 Science | Volume 41 | Edition 6 | Pages 82-89
I4S 6/2025: Manufacturing in Space

I4S 6/2025: Manufacturing in Space

Infinite possibilities for industrial production?
Manufacturing is leaving Earth: what was once science fiction is becoming a strategic field for the future. Falling launch costs and new space industry players are enabling production and services under conditions that are impossible on Earth—from in-orbit maintenance to novel manufacturing processes in microgravity. This issue highlights opportunities, business models, and technological hurdles on the path to value chains in space.
Production Control in Space

Production Control in Space

An AI-supported approach for industry in orbit
Dominik Augenstein, Lara Jovic
Production in space, of semiconductors for example, offers many advantages for companies. At the same time, high transport costs mean that careful consideration must be given to the production materials being transported. The use of Kalman filters enables (real-time) control from Earth, making space production a cost-efficient option. Machine learning could make it a viable approach even for highly complex production systems.
Industry 4.0 Science | Volume 41 | 2025 | Edition 6 | Pages 22-29
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
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