The use of innovative technologies in the context of teaching and learning at universities is seen as a beacon of hope in education policy. In particular, the implementation of artificial intelligence (AI) in the teaching and learning context is expected to contribute to the improvement of higher education. However, in order to fully exploit the innovation potential of intelligent and disruptive systems, in addition to questions of technical implementation, didactic and organizational aspects as well as ethical-legal conditions must be taken into account. Thus, this paper attempts to address the question of which transdisciplinary approaches and methodological aspects can contribute to the evaluation of a potentially effective and sustainable implementation of AI in higher education.

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