Artificial Intelligence
A guide to using artificial intelligence in study, teaching, and research.
Artificial intelligence is becoming a part of everyday academic work — in studying, teaching, scientific research, and administration.
The Central Library of the Faculty of Science at Masaryk University is preparing a practical guide to help users navigate available tools and use them responsibly. The guide highlights three key areas: critically evaluating AI outputs, adhering to the principles of academic integrity, and ensuring the safe handling of research and personal data.
This guide is under development — below you will find an initial overview of available tools and a short questionnaire through which you can help us determine what to prioritize.
What tools are available?
Tools licensed by MU
Microsoft Copilot Chat, Google Gemini through Google Workspace MU, DeepL, and AI‑as‑a‑Service computing resources provided via the e‑INFRA CZ / CERIT‑SC infrastructure.
This group of tools is available under an institutional license and offers a higher level of data protection in accordance with MU requirements.
Commercial tools
ChatGPT, Claude, Google Gemini (without signing in via an MU account), Perplexity AI, and others.
These tools are freely accessible, but their use requires caution when handling input data.
Scientific and research tools
Scite_, Elicit, Semantic Scholar, Research Rabbit, Connected Papers, Zotero with AI extensions, and others.
These tools are designed specifically to support academic work: literature discovery, citation‑network analysis, and bibliography management.
Detailed guides for each group of tools are currently in preparation.
AI @ MUNI
Masaryk University takes an active, institution‑level approach to the topic of artificial intelligence. The key document is the Statement on the Application of A, which defines the fundamental principles for the responsible use of AI tools by students and teachers. The statement views AI primarily as a challenge and an opportunity, while also emphasizing ethical, safe, and transparent use — including the obligation to disclose the use of AI in academic work.
Building on this statement are the Recommendations on the use of AI in education, prepared by the Working Group for AI in Education under the Vice‑Rector for Education and Quality. These recommendations provide concrete guidance on how to reference AI tools depending on how they are used.
Project Call
The Rector’s Office of Masaryk University is also announcing an internal call for teaching‑innovation projects that include the implementation of AI in teaching at individual departments.
More information is available via the link (access restricted to staff only):
Help Us Focus on What You Need
The guide will be structured according to the needs of four key areas of use — study, teaching, research, and administration.
We are creating this guide for you, and we want to focus on topics that are genuinely useful for users at the Faculty of Science, Masaryk University. Completing the questionnaire takes approximately two minutes.
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