Filter by author: Justus Henke

This study examines the adoption of generative AI (genAI) tools in German university communication departments using 2023 and 2024 survey data. Adoption has significantly increased in 2024, particularly for text generation, with private universities leading the way. Efficiency gains are evident, but issues with factual accuracy and data privacy persist. The findings highlight a transition from cautious experimentation to mainstream integration of genAI in communication strategies, though ethical concerns remain. Communication departments face the challenge of balancing genAI’s efficiency benefits with the need to uphold quality, individuality, and privacy.

This study conducts a pioneering empirical analysis of generative AI tools, such as ChatGPT, in the context of university communication across German universities. It explores the adoption rates, identifies the primary challenges, and assesses the potential of these technologies, integrating several theoretical concepts. The findings reveal a widespread use of AI for translation and language correction, with broader applications gradually emerging. Adoption rates vary significantly between private and public universities, largely due to concerns over technical issues, data protection, and AI usability. The results underscore the need for enhanced training and AI policies that support effective integration and use.