The rapid development and spread of large language models (LLMs) is increasingly penetrating all areas of life and significantly shaping modern society, raising questions about the underlying values and norms and the ethical, legal and social implications: What ethical principles should guide the development and use of text-generating AI? What are the social consequences of increasing automatization? And how can we ensure that the texts generated by AI reflect our shared values? This Summer School focuses on these questions: the aim is to critically question the normative foundations of generative AI and to discuss which values are embedded in its development and how these values can be reflected and modelled in a globalised world.

The International Marsilius Academy Summer School offers an interdisciplinary space to combine perspectives from (among others) computer science, linguistics, philosophy, theology, medicine and law. Researchers in early career phases who are actively working on research projects or doctoral projects in the field of generative AI are particularly addressed. Through their expertise and disciplinary perspectives, they contribute to an in-depth discourse on values and norms in the making of AI while at the same time building sustainable scientific networks.

The core objective of the Summer School is not only to raise awareness of the ethical dimensions of AI, but also to develop concrete implications for the responsible use of generative AI in science and society. Accordingly, special emphasis will be placed on output and the sustainable backup of results. In the mornings, the focus will be on practical presentations on AI-related topics, while in the afternoons, small interdisciplinary projects with a practical transfer idea will be developed in group work and presented at a closing event.

Target group, expectations and participation fee

The Academy is aimed at Master students as well as PhD candidates. A participation fee of 100€ – including room and board – will be charged. Travel costs are to be covered by the participants themselves.

Participants are expected to present the current status of their work in a poster session.

You can apply online until 27 June.