The Generative AI Team at Charles University is part of the Research Software Engineering department at the Central Library of Charles University. The team is responsible for managing both the Czech and English versions of this website, coordinating the activities of the Charles University Generative AI Working Group, publishing the AI Newsletter, and organizing professional events and training focused on artificial intelligence.
At the same time, the team is developing the AI Sandbox, currently in a pilot phase, which provides a secure environment for working with generative AI models. The Generative AI Team at Charles University also prepares methodologies and supporting materials for the use of AI and addresses this topic across the university.
Organizes training sessions on generative AI tools and develops related methodologies. Prepares the newsletter and publishes news on the website, managing the content of ai.cuni.cz, including its English version. Coordinates, communicates, and promotes activities related to generative AI at Charles University and manages the Generative AI Working Group at Charles University. Creates graphics for methodological materials and website visual content.
In her free time, she pursues visual art and artistic creation. She writes and illustrates children's books and is part of the artistic collective Lemur nazdi, which focuses on creating large-format murals and site-specific installations.
Trains users in the use of university generative AI tools and provides consultations on their application in technical and economic work as well as academic activities. Tests generative AI tools relevant to the academic sphere. Participates in the implementation of the AI Act at Charles University. Operates the Helpdesk, develops methodologies, and organizes training sessions. Focuses on responsible and meaningful use of generative AI tools at Charles University.
In his free time, he measures science in meters. He attends scientific conferences on the topic of science evaluation (bibliometrics and scientometrics) and shares these insights with students at the Institute of Information Studies and Librarianship at the Faculty of Arts, Charles University. He also teaches information science, fundamentals of theoretical computer science, information coding, AI in academic work, and information support in science and research.
Develops and maintains the University AI Sandbox environment, ensuring its safe and reliable operation. Provides Charles University students and staff with access to open source, commercial, and local AI models, with a strong focus on their effective use. In this area, she's also passionate about user education and offers technical support for any questions or issues that come up.
She's a student at Charles University herself, so she understands the student perspective from the inside. When she's got free time, you'll find her volunteering with nonprofit projects or heading out to the mountains.
Provides user administration and support for the AI Sandbox. Collaborates with the RSE UK team on testing and implementing new features, and contributes to methodological development and consultations in the field of artificial intelligence.
He is currently completing a Master's degree in New Media Studies at the Faculty of Arts, Charles University. His academic work focuses primarily on social media, as well as research into large language models and their potential for detecting political bias. In his free time, he enjoys sports and attempts read philosophy.
Artificial intelligence is further promoted by other individuals and groups at the various faculties of Charles University. Each faculty has its own AI coordinator who has an overview of various materials, methodologies, recommendations, measures, and tools specific to their respective faculty. You can find contact information for faculty coordinators on the AI at the Faculties page.
The Generative AI Interest Group at Charles University brings together faculty representatives, academics, students, and professional staff who are interested in the use of artificial intelligence in education, research, and university operations. The group serves as a platform for sharing experiences, discussing the opportunities and risks associated with AI, and collaborating on the development of recommendations, methodologies, and best practices. Its regular areas of focus include the use of AI in teaching and learning, legal and ethical considerations, the protection of sensitive data, and the selection and deployment of AI tools.
