work design

Guidelines for the Fair Use of Generative AI

Guidelines for the Fair Use of Generative AI

Practical examples from production management and social welfare
Anja Gerlmaier, Paul-Fiete Kramer ORCID Icon, Dirk Marrenbach ORCID Icon, René Wenzel ORCID Icon
With the rapid spread of assistive AI tools such as ChatGPT, Gemini, and Copilot, companies are being challenged to address the opportunities and challenges of artificial intelligence. Based on two practical examples, this article provides insight into how companies can use company-specific risk and potential analyses to develop guidelines for the fair and responsible use of AI.
Industry 4.0 Science | Volume 42 | 2026 | Edition 1 | Pages 22-28 | DOI 10.30844/I4SE.26.1.22
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
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
Ten Commandments for a Successful Implementation of Digitalization Projects

Ten Commandments for a Successful Implementation of Digitalization Projects

Guidelines for Digital Transformation
Mikko Börkircher, Veit Hartmann, Tim Jeske
In many companies there is still a lack of clarity about the “right” way to implement digitalization projects. Therefore, the article describes guidelines for the successful implementation of digitalization projects. They are derived from the experience of various practical projects and include considerations of economic efficiency as well as resources and staff. Structured as “Ten Commandments for Digitalization Projects”, they are designed to support actors in the practical implementation of digitalization projects
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 55-58