* AI Writing Lab: From Prompt to Paper – Without Plagiarism (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.

This AI Session focuses on one of the most relevant areas of doctoral work: academic writing. AI tools can support many phases of the writing process — from developing ideas, structuring arguments and drafting sections to revising style, receiving feedback, translating between languages or preparing a manuscript for submission. At the same time, they raise important questions about authorship, transparency, plagiarism, bias, academic integrity and the role of one’s own scholarly voice.

In this session, we will look at the writing process step by step and discuss how large language models, AI assistants and agentic AI workflows can be used in responsible, productive and critically informed ways. Short inputs will introduce ideal-typical AI-supported writing settings, from simple prompt-based support to more complex agent-based writing workflows. Participants are invited to bring concrete writing-related questions, challenges or examples from their own doctoral practice.

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.