Artificial intelligence (AI), and especially generative AI, is becoming an increasingly integral part of science, business, and society. Higher education institutions have a special responsibility to involve students in this transformation by fostering scientifically grounded and ethically reflective competencies in the use of generative AI.
The University regards the provision of current AI systems as part of its responsibility to deliver contemporary university teaching. It ensures that teachers and students have access to a broad array of current AI tools that comply with data protection regulations. Its policy on the use of generative AI in learning and teaching sets out a framework for integrating generative AI technologies into degree programmes and courses, as well as for the use of AI in assessment contexts.
The policy on the use of generative AI in learning and teaching pursues three key objectives:
- Fostering AI competencies: Students should develop the skills needed to use generative AI systems in a critical and reflective way, to understand how these systems work, and to analyse their societal implications.
- Supporting teaching and learning: Teachers and students should be able to use generative AI as a pedagogical support tool, for example to promote individualised learning, tailored feedback, and the acquisition of knowledge.
- Safeguarding assessment integrity: In assessment contexts, the fair, verifiable, and individual assessment of performance must be ensured. Teachers may provide for the use of generative AI in assessment scenarios, provided that this is linked to the development of generative AI competencies or that such use is relevant to the subject area and academic practice.
