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Different AI-based language models and applications have become a part of studies nowadays. Generative artificial intelligence applications (for example, ChatGPT [Generative Pre-trained Transformer]) and other similar AI-based text editors or text generators, the so-called large language models, are interactive AI applications, which generate text based on user input. Users can ask the AI questions, and it can be requested to rework on a text to make it better.

The language model’s operating principle is based on probabilities: there is a huge amount of data in the background, on the basis of which the model estimates which word comes after the previous one. The language model compiles a text from the data, which can be accurate, but also falsified or inaccurate. The material produced by the language model is often general and superficial, and it lacks the depth and the concreteness of an academic text. It is not necessarily logical or, for example, correct in the mathematical sense. The content produced by the language model is not trustworthy, so the user must always critically evaluate the data received from a language model; individuals are responsible for the correctness of the material. Therefore, the text produced by the language model is not recommended to be used.

Learning to use AI applications during studies can be seen as a working life skill. The critical use and understanding of different sources and materials is part of responsible expertise. The tool is based on many commonly available functions and applications, such as language checking, search engines, and the library’s Finna search services.

1. Using AI-based applications to assist in studies is in principle permissible. You can make use of AI applications, for example, for generating new ideas or producing basic texts, making drafts, structuring topics, understanding concepts, supporting information retrieval, creating an overall picture or to assist in language and text issues. Artificial intelligence can therefore produce raw and basic material that can feed your creativity and help you generate new thoughts and ideas. However, you must develop these further yourself.
   
    
2. The teacher in charge of the study unit’s implementation gives final instructions on the use of the AI applications. During teaching, the possibilities, principles, advantages, and disadvantages of AI should be made clear to the students as well as the limits of possible prohibited use and its justifications. For example, language models can be made use of in teaching and learning assignments. The AI applications used/required in teaching must be free-of-charge and available to all.
   
    
3. Artificial intelligence is not a scientific source. Artificial intelligence can support studying as according to point 1, but it is not suitable to be used as a scientific source, for example, in theses. The need for transparency applies to all study units. To ensure a fair assessment, you must clearly state in connection with your study unit if you are using text produced by an AI application (cf. a reference to an Internet site or verbal communication). You must always follow good scientific writing practices and always refer to the original source according to approved reference practices. The use of AI must also be indicated in the bibliography.
   
    
4. The students themselves are responsible for the content of the text they hand in. Be careful if you use AI. Artificial intelligence cannot be used in assignments where linguistic presentation is part of the assessment criteria. Directly quoting the text produced by the language model without using references is fraudulent activity and plagiarism, and in plagiarism cases, the study unit can be considered failed. The plagiarism detection programmes have a greater amount of tools for identifying the use of artificial intelligence. The Rector’s decision on ethical guidelines for studying and the processing of academic fraud at the Ä¢¹½Ö±²¥ is followed during the processing.
   
    
5. If generative artificial intelligence applications have been used in completing assignments or theses related to studies, the work must mention which application was used and how it was used. The assignment can be, for example, a learning task, an exam answer, an essay, or a thesis. Tell clearly about the possible use of artificial intelligence for the text, its topic or language issues in the introduction, in the first part, or in the method section of the thesis. If the description is very long, you can also use a separate attachment to report it.
   
    
6. These guidelines may be supplemented in accordance with a discipline or subject.