Fakultät Wirtschafts- und Sozialwissenschaften

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Die Fakultät vereint Forschung und moderne Lehre nach internationalen Standards. Das Hohenheimer Modell verzahnt dabei betriebs- und volkswirtschaftliche, sozial- und rechtswissenschaftliche Aspekte.

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Browsing Fakultät Wirtschafts- und Sozialwissenschaften by Journal "AI and ethics"

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    Educational ideals affect AI acceptance in learning environments
    (2026) Richter, Florian; Uhl, Matthias; Richter, Florian; Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany; Uhl, Matthias; University of Hohenheim, Stuttgart, Germany
    AI is increasingly used in learning environments to monitor, test, and educate students and allow them to take more individualized learning paths. The success of AI in education will, however, require the acceptance of this technology by university management, faculty, and students. This acceptance will depend on the added value that stakeholders ascribe to this technology. In two empirical studies, we investigate the hitherto neglected question of which impact educational ideals have on the acceptance of AI in learning environments. We find clear evidence for our study participants’ conviction that humanistic educational ideals are considered less suitable for implementing AI in education than compentence-based ideals. This implies that research on the influence of teaching and learning philosophies could be an enlightening component of a comprehensive research program on human-AI interaction in educational contexts.
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    HCI driving alienation: autonomy and involvement as blind spots in digital ethics
    (2024) Jungtäubl, Marc; Zirnig, Christopher; Ruiner, Caroline
    The ongoing development and adoption of digital technologies such as AI in business brings ethical concerns and challenges. Main topics are the design of digital technologies, their tasks, and competencies in organizational practice, and their collaboration with humans. Previous guidelines on digital ethics mainly consider technological aspects such as the nondiscriminatory design of AI, its transparency, and technically constrained (distributed) agency as priorities in AI systems, leaving the consideration of the human factor and the implementation of ethical guidelines in organizational practice unclear. We analyze the relationship between human–computer interaction (HCI), autonomy, and worker involvement with its impact on the experience of alienation at work for workers. We argue that the consideration of autonomy and worker involvement is crucial for HCI. Based on a quantitative empirical study of 1989 workers in Germany, the analysis shows that when worker involvement is high, the effect of HCI use on alienation decreases. The study results contribute to the understanding of the use of digital technologies with regard to worker involvement, reveal a blind spot in widespread ethical debates about AI, and have practical implications with regard to digital ethics in organizational practice.