Generative artificial intelligence tools such as ChatGPT, Claude and Gemini are increasingly present in scientific writing and communication. While they offer new possibilities for supporting research activities, their use also raises important questions about accuracy, reliability, authorship and intellectual responsibility.

Rather than approaching AI as a shortcut or as something to reject entirely, this course creates a space for conscious experimentation and critical awareness.

Participants will explore the possibilities and limitations of large language models, learning to distinguish between uses that can support scientific thinking and communication and those that risk outsourcing essential intellectual work, authorship and creativity.

The course will address issues such as hallucinations, inaccuracies, bias, loss of individual writing voice, transparency and academic integrity. Participants will also experiment with AI tools for brainstorming, structuring, revising and editing scientific texts, while reflecting on what should remain fundamentally human in the communication of science.