Resources

Microsoft Copilot is the only authorized language model at UNIL. High-performing and secure, it meets confidentiality standards required for institutional academic use.

NotebookLM is now Gemini Notebook. A walkthrough on four public UNIL directives, four examples depending on your role, and what you are allowed to upload.

A two-minute questionnaire from the UNIL AI Strategic Unit. It examines the nature of your data and tells you which AI tools you may use: commercial, institutional or local.

Local AIs are increasingly powerful and attractive, all while keeping your sensitive data on your own computer rather than on remote servers.

Compare models, extract structured data, reproduce workflows: DCSR-LLM helps UNIL researchers use large language models in a more controlled and reproducible way.

A clear, accessible, and stimulating introduction to AI for teachers, with videos, interactive activities, and ethical reflection, delivered through a guided course of just over 3 hours.

An in-depth, structured training course for teachers who want to better understand AI, its educational impacts, and its concrete applications in the classroom and everyday teaching.

How to design an AI assistant tailored to your academic needs: tools, setup, best practices and limitations for effective and secure use in study and research.

A selection of eight useful tools for exploring a field, structuring a corpus, and analyzing references, while maintaining a critical distance from automated syntheses.

The CNIL has published a practical guide explaining how to oppose the reuse of your personal data by major conversational agents and regain control over your privacy.

Sixty artificial intelligence tools tested and sorted by need. Ten columns, three of them named after the AI_GO families. The board takes inventory and authorises nothing.