2026-02-11
Applied AI ethics in the workplace
The center of cooperation is represented with three articles in the current special issue of Industry 4.0 Science magazine entitled ‘Applied AI Ethics in the Workplace’. The special issue is dedicated to the question of how ethical guidelines and governance structures for the use of artificial intelligence in the workplace can be implemented in practice.
The three articles co-authored by the center of cooperation RUB/IGM draw on key findings from their own research on the introduction of artificial intelligence in companies. They show that the successful implementation of AI is not solely a technical issue, but is significantly influenced by organisational framework conditions and social partnership negotiation processes, in particular co-determination in the workplace.
"The application of AI ethics in the workplace is everyone’s responsibility. It requires responsibility on the part of companies as a whole and conscious action on the part of a large number of individuals—whether developers or users, managers or employees. This issue of Industry 4.0 Science is dedicated to the interplay of individual responsibility and organizational leadership in a broader social and regulatory context. The topics range from competence development for the ethical use of AI to issues of governance and employee representation. The findings come from various fields, including radiology, speech therapy, assembly, and quality control" (Industry 4.0 Science).
Applied AI ethics in the workplace
The center of cooperation is represented with three articles in the current special issue of Industry 4.0 Science magazine entitled ‘Applied AI Ethics in the Workplace’. The special issue is dedicated to the question of how ethical guidelines and governance structures for the use of artificial intelligence in the workplace can be implemented in practice.
The three articles co-authored by the center of cooperation RUB/IGM draw on key findings from their own research on the introduction of artificial intelligence in companies. They show that the successful implementation of AI is not solely a technical issue, but is significantly influenced by organisational framework conditions and social partnership negotiation processes, in particular co-determination in the workplace.
"The application of AI ethics in the workplace is everyone’s responsibility. It requires responsibility on the part of companies as a whole and conscious action on the part of a large number of individuals—whether developers or users, managers or employees. This issue of Industry 4.0 Science is dedicated to the interplay of individual responsibility and organizational leadership in a broader social and regulatory context. The topics range from competence development for the ethical use of AI to issues of governance and employee representation. The findings come from various fields, including radiology, speech therapy, assembly, and quality control" (Industry 4.0 Science).
All contributions are available via open access: