Navigating the AI era: university communication strategies and perspectives on generative AI tools
Open accessAbstract
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.
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AI's utility depends on meaningful pedagogical integration.
“AI's utility depends on meaningful pedagogical integration”
From MAPPING GENERATIVE AI'S ETHICAL ISSUES IN HIGHER EDUCATION: A FELT-GUIDED SYSTEMATIC REVIEW [PEMETAAN ISU ETIKA GENERATIVE AI DI PENDIDIKAN TINGGI: TINJAUAN SISTEMATIS BERPANDUAN FELT] (2025) · cites this paper as Henke, 2024
Section 2.2 (page unavailable) says successful AI integration in higher education requires careful consideration and may call for adjustments to teaching methods and examinations. But the paper’s account of usefulness and effective integration focuses on university communication (section 3.2, page unavailable); it does not establish that AI’s utility generally depends on pedagogical integration. (LLM, conf=0.82)
Experimental — accuracy not yet measuredInaccurate content and the failure to use AI ethically and with proper disclosure can erode trust among students, faculty, and the public in educational institutions.
“Inaccurate content and the failure use AI ethically and with disclosure can erode trust students, faculty, and the public educational institutions.”
From MAPPING GENERATIVE AI'S ETHICAL ISSUES IN HIGHER EDUCATION: A FELT-GUIDED SYSTEMATIC REVIEW [PEMETAAN ISU ETIKA GENERATIVE AI DI PENDIDIKAN TINGGI: TINJAUAN SISTEMATIS BERPANDUAN FELT] (2025) · cites this paper as Henke, 2024
The Conclusions state that difficulties verifying AI-generated content and ethical concerns affect public trust in academic institutions. The cited passages do not specifically link a failure to disclose AI use to lost trust, or establish that trust among students and faculty is eroded. (LLM, conf=0.86)
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References 69 · Cited by 16
- Authors
- Henke, J.
- Corresponding author
- Henke, Justus
- ORCID
- Henke, Justus
- Venue
- Journal of Science Communication
- Publisher
- Sissa Medialab Srl
- Published
- 2024-05-27
- Volume
- 23
- Issue
- 03
- ISSN
- 1824-2049 (ISSN-L)
- OpenAlex
- W4399047646
- Cited by
- 16
- References
- 69
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 1
- FWCI
- 5.99
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Science Communication (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Communication › Public Relations and Crisis Communication
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- generative AI, university communication, ChatGPT, artificial intelligence adoption, translation, language correction, private vs public universities, data protection, AI usability, AI training, AI policy, German universities
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