Generative artificial intelligence (GenAI) has rapidly become a natural part of academic work. It helps staff understand complex topics, summarise professional texts, translate materials, and even simulate feedback for students. At the same time, it raises important questions: where are its limits, how to prevent hallucinations, what transparent use really means, and which didactic principles should guide work with AI models.
To address these topics in a structured way, Constantine the Philosopher University in Nitra has launched a series of university-wide GenAI workshops for employees, delivered over the next two years. The ambition is to provide a coherent, practical view of GenAI so that it supports teaching quality, improves preparation efficiency, and respects academic integrity.
The workshops build on a simple premise: GenAI is not just a “new tool” – it is a new form of literacy. Using it well requires an updated mindset, innovative approaches, and above all critical thinking. A central component is also ethics and transparency. In academic settings, it is important to clearly state when, how, and which tool was used, what limitations were accepted, and what human verification was applied. The goal is to enable staff to benefit from GenAI while staying responsible, accurate, and fair.
The introductory sessions focus on clear, accessible explanations of what GenAI is and how it works – how large models trained on extensive corpora can generate different kinds of content. The programme includes practical demonstrations such as text summarisation, translation and grammar checking (SK/EN), and verification of content accuracy using expert texts with intentionally inserted errors. Participants will leave not only with hands-on experience, but also with guidance on how to apply GenAI appropriately in everyday academic tasks.
The workshop series is open to all employees – teachers, researchers, as well as administrative and support staff. The programme is tiered, but attendance is not sequential: each participant can select sessions based on their own needs and experience level. Over time, participants will build a portfolio of practical outputs and receive methodological recommendations that can be directly applied in their work.
