Recent advancements in generative pre-trained transformers (GPT) allowed for the production of text that is very difficult to distinguish from human-written content. Mainly the public availability of ChatGPT constitutes a threat in many areas - student outsourcing essay writing, mass production of fake scientific papers, the spread of misinformation on social media, spam, harassment, propaganda, etc. To prevent these threats, there is a need for tools able to detect machine-generated content. Nonetheless, this remains an open problem, especially in light of new developments in text generation (e.g. GPT-4). The student's task will be to get acquainted with GPT and approaches to the detection of GPT-generated content. Based on the study of relevant literature, the practical task will be to design, develop and evaluate a support tool for detection. The tool may be either multi-lingual or focused on a language of student choice.