Large Language Models like GPT have become an important assistant for science. Studies show that it not only makes scientists more productive but also improves the quality of scientific output by up to 40%. 

More than 80% of scientists say they want AI in their daily work. At the same time, many labs still lack clear guidance on how to use AI safely and increase the quality of their output. 

This webinar gives decision-makers a clear overview of why AI skills are now essential for research teams. We explain where AI helps most, how it supports data work and writing, and what leaders should know about rules from journals and the DFG. You will also learn practical steps for building AI competence across your institute or department. As bonus we also explain how local LLMs allows use of AI assistants without moving data outside their own systems.

Participants can expect:

• Examples on how AI improves quality of scientific work
• Key use cases in research, writing, and data tasks
• Risks of wrong use and how to avoid them
• Using local AI models for secure work with sensitive data

The session is designed for scientists and anyone responsible for research quality, planning, and training.

• Give decision-makers a clear view of why AI skills matter for research groups.
• Explain how AI improves quality 
• Help leaders understand guidelines from journals and the DFG.
• Show practical steps to bring LLM assistants to scientists.
• Usage of local LLMs to protect sensitive data.