The lecture begins with a general introduction to the concepts of artificial intelligence (AI) and machine learning (ML) from a computer science perspective, followed by a brief historical overview. To provide a basic understanding of the technologies and methods, an overview of AI/ML developments and breakthroughs in recent years follows, including the technical basics explained in an intuitive and accessible manner: neural networks, transformers, and generative AI. The lecture concludes with a discussion of several critical aspects of AI – in particular, bias in AI systems, resource and energy consumption, and societal impacts – as well as a (non-exhaustive) overview of AI/ML research activities at KIT, primarily from a computer science perspective.

External guests may attend individual sessions provided there is sufficient capacity. In this case, please send an email request to dataliteracy∂forum.kit.edu. You may attend up to two sessions free of charge.

If there is significant interest in participating in the lecture series beyond that, you may attend as a registered guest student starting with the third session.