Different definitions and approaches to the human-centered use of artificial intelligence (AI) in work processes coexist in the literature. They differ depending on the respective discipline and the area of application under investigation. In a recently published paper in Frontiers in Artificial Intelligence, Prof. Dr. Uta Wilkens, Daniel Lupp and Dr. Valentin Langholf from the Chair of Work, Human Resources and Leadership apply a systematic literature analysis to derive context-specific understandings of human-centered AI. They highlight several actors in organizations with their respective focus on different partial solutions. Depending on the context and hierarchical level, different sets of criteria for human-centricity are pursued (e.g. data security, employment security or user integration). However, convincing solutions regarding human-centricity require integrative efforts towards technology, organizational and personnel development, involving different stakeholders and hierarchical levels.
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