Basics of (Generative) AI
Start with the concepts needed to judge an educational use: what the system produces, what can go wrong, whether the output can be checked, and which institutional safeguards apply. Use the task checklist before trying a workflow with students or protected material.
- What is generative AI? provides a brief introduction to artificial intelligence and generative AI.
- Limitations and risks explains unsupported output, outdated knowledge, variability, bias, instruction failures, and displaced learning.
- Why AI detection does not prove authorship explains detector scores and fairer responses to authorship concerns.
- When to use AI offers a short task-before-the-task checklist.
- Responsible AI use provides an EU-oriented framework for privacy, high-impact decisions, human oversight, transparency, copyright, and tool selection.
Last updated on