* AI Tool Show: From Prompt to Paper (GGG) online

Trainer: The interactive online sessions are facilitated by Dr. Christian Steinau. Christian Steinau enjoys formats in which dialogue leads to concrete action. His academic home is LMU Munich, where he earned his doctorate on the topic of judgment: a skill that is becoming increasingly important in today’s work with AI. After all, the better AI systems become at producing texts, analyses, and ideas, the more important it becomes to consider how we evaluate, contextualize, and responsibly utilize their outputs. As the director of a Transfer Lab, he worked at the intersection of research, society, and application. In 2020, he founded the Cultural Policy Lab, which he has been leading since 2025 as a research firm specializing in the cultural and creative industries. His initiatives combine a curiosity about new technologies with scientific rigor, peer learning, and a clear focus on integrity and practical value.

Internal experts: In addition to the trainer, different experts from the Göttingen Campus will be available for questions and exchange.

Participants are warmly invited to contribute their own questions, experiences, tools, workflows and critical perspectives. The aim is to learn from one another, build networks across disciplines, and develop practical, reflective and future-oriented ways of working with AI in doctoral research.

In this session, PhD candidates will explore the diverse landscape of AI-supported paper writing through an interactive, navigable Miro map. Before the session, the facilitator will map out models, providers, workflows, and tools for various stages of the academic writing process and link them to images, videos, graphics, specific links, and additional information. Participants and experts from the Göttingen Campus will explore the emerging tool islands on their own, contribute their own experiences, and add notes, ratings, and recommendations to the map. The session concludes with a discussion of the possibilities and limitations of AI support in academic writing.

All AI Sessions of GGG are not designed as a conventional training courses. Instead, they create a regular forum for exchange, reflection, peer-learning and empowerment. Together, participants will discuss concrete AI tools and workflows, critically assess their opportunities and limitations, and relate current developments to their own doctoral projects and disciplinary contexts.