Valentin Langholf

• Ruhr University Bochum

The use of artificial intelligence (AI) in work processes requires the anticipatory change of work roles because areas of activity are shifting within job profiles, resulting in new interaction patterns between humans and AI and between employees. In order to avoid role conflicts, rejection of the AI system and other undesirable side effects of AI...

Purpose Due to the current shortage of skilled employees, there is a growing need to cope with given team settings and to offer appropriate team training. For team training, it is important to know how different competences influence team performance. Therefore, this study aims to examine the influence of social and cognitive competences on team pe...

In an era where Artificial Intelligence (AI) integration into business processes is crucial for maintaining competitiveness, there is a growing need for structured guidance on designing AI solutions that align with human needs. To this end, we present “technical assistance concerning human-centered AI development” (tachAId), an interactive advisory...

Purpose The discourse on the human-centricity of AI at work needs contextualization. The aim of this study is to distinguish prevalent criteria of human-centricity for AI applications in the scientific discourse and to relate them to the work contexts for which they are specifically intended. This leads to configurations of actor-structure engageme...

Sustainability is gaining importance and the economy is changing into a circular economy, especially with regard to climate change and the need to create more resilient value chains. The organization of work is meeting these challenges with, among other things, the digitalization of increasingly changeable production. Collecting and understanding d...

When applying artificial intelligence (AI) in the workplace, the domains of development and deployment are usually separated. In this paper we give emphasis to cross-domain AI development and show how this impacts the definition of project goals, collaboration and use of AI applications. The field of analysis is the medical diagnosis of epilepsy. A...

Der Einsatz von Künstlicher Intelligenz (KI) in Produktion und Fertigung wird die Arbeitswelt und die Fabrikfertigung verändern. Dieser Beitrag widmet sich der Frage, wie die Arbeit mit KI im Interesse des Menschen gestaltet werden kann. Dafür werden verschiedene Perspektiven auf menschzentrierte KI vorgestellt. Nachfolgend wird das Modell SMART-er...

The continuous acquisition of new digital competences and the development of situational learning assistance systems will become more important than ever in the coming years, because the world of work is becoming more complex, more informative and all above more data-driven. Jobs are changing due to increasing digitalisation, whereby the use of mod...

The description and detailed characterization of the five co-existing perspectives on human-centered AI underline that there a certain meanings of human-centricity which also incorporate different interpretations of inclusion. The detailed description of these perspective demonstrates that each perspective gives emphasis to a relevant issue of job...

This paper emphasizes the microfoundations of organizational agility and explores the interplay between new technologies, organizational structure and processes, leadership style and individual competencies. This interplay is analyzed in a case study conducted in an international information technology company with headquarters in Germany during th...

Previous research has shown that the way people spend their money is as important to happiness as how much money people earn. Specifically, it has been shown that spending money on others contributes more to an individual's happiness than spending money on oneself. In the present study, we investigated this effect and examined the role of the money...