Use cases for AI to support collaborative work
Year: 2026
Type: other
Abstract: This open educational resource (OER) was developed as part of the European project GEDIS – Gender Diversity in Information Science. It introduces learners to the diverse ways in which generative AI can support collaborative work, as well as to the associated limitations, risks, and governance requirements. The resource serves as a starting point for learners to discuss, test, and critically examine use cases within their own professional contexts. The focus is not on a mere enumeration of tools, but on reflecting on whether the use of AI genuinely reduces effort or merely shifts work elsewhere; on where the boundary lies between more effective communication and a distorted self-presentation; on which competencies could be better developed through deliberate non-delegation to AI; and on what a team should agree upon in advance so that shared AI use remains unproblematic. The resource aims to foster a critical, differentiated understanding of the opportunities and risks of AI in team contexts, rather than promoting uncritical tool use.Citation: Dreisiebner, Stefan, Eithne Knappitsch, Nathalie Gasser and Stefanie Ratzesberger. Use cases for AI to support collaborative work. 2026. DOI: 10.5281/zenodo.22303366.
Authors: Dreisiebner, Stefan, Knappitsch, Eithne, Gasser, Nathalie, Ratzesberger, Stefanie
Institution: FH Kärnten
Language: German
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7208833149