The AI4Uni trainings completed!
We are proud to announce that the AI4Uni trainings are completed. The project team created and delivered blended training for […]
Erasmus+ Cooperation partnerships in higher education
2024-1-PL01-KA220-HED-000250324
About the project
News
Project results
About the project
The AI4Uni project is focused on AI literacy and aims at developing the digital skills and competencies of all members of the academic community: students, academic and administrative staff. It also addresses organisational needs of the universities to use newest technologies to their advantage in order to enhance their capacity.
When Chat-GPT was launched, it went viral like no other invention before. Technology world is a rapidly changing environment and artificial intelligence is playing an increasingly important role in all areas of life. AI with its ability to analyse data, learn from experience and make autonomous decisions is opening up new opportunities and challenges for Higher Education.
Ethical principles, content verification, moderation,
awareness of risks and responsibility are becoming essential.
The goal of the project is to equip the academic community with a comprehensive understanding of the impact of artificial
intelligence.
AI can’t be avoided. Bringing it down, in the academic context, to a question of plagiarism is counterproductive. The change has already happened and universities both as educational institutions and working environments are obliged to take active part in it.
News
We’re testing training scripts for university staff
The University of Szczecin team did yet another test run of the AI4Uni workshops during the 10th International Staff Training […]
The AI4Uni trainings are underway!
March 2026 is a month of the AI4Uni trainings. Both student and staff modules have started and initial feedback from […]
Project results
The AI4Uni team takes a four-step approach: analysis-skills-implementation-guidelines to fully address identified needs.
1. step is to analyse legal and ethical frames (on the national and internal level) that each university must work within.
2. step: AI literacy training modules adjusted to the audience: students and staff. A selected group of the participants will become ‘AI champions’
at their institutions and later will share their knowledge with their peers.
3. step is the AI solution implementation. Each HEI decides which AI tool is most suitable for their needs and will truly facilitate work in the given institution.
4. A set of guidelines and AI toolbox is designed to share knowledge. This step is dedicated to the wider audience to provide knowledge and raise awareness of legal and ethical issues connected to AI usage.