AI literacy means the ability to understand, use, evaluate and apply artificial intelligence responsibly, ethically and in a sustainable way.
It is built on four complementary areas: awareness, usage skills, evaluation skills and ethical competence.
AI literacy areas
Awareness
You understand the basic principles, use cases, opportunities and risks of AI. You recognize how AI affects your learning and work now and in the future.
Usage skills
You use AI tools appropriately as part of studying and teaching – complementing, not replacing human thinking and learning. You follow the course instructions and Arene’s traffic light model (the teacher can allow, limit or forbid use based on learning objectives)
Evaluation skills
You critically assess the reliability of AI systems and the accuracy of their outputs, take into account differences between tools (e.g., data protection, cybersecurity) and verify the origin of information from original sources – AI is not an expert source.
Ethical competence
You act transparently and lawfully: you state how and for what you have used AI (also in source citations according to Laurea’s citation guidelines), you respect copyrights and take care of privacy. The use of recording AIs (“meeting bots”) in virtual teaching events is, at Laurea, as a rule prohibited without prior agreement.
Practice AI literacy in practice:
- Ask AI to explain a topic you know well and evaluate the output as an expert: what did it omit, where did it go wrong, what needs clarification? This develops critical literacy.
- Ask AI to suggest sources and check them independently (do not cite AI as an expert source). Describe the steps in which you used AI.
- When you use AI for language editing or brainstorming, disclose its use in the text and add a note in the reference list according to Laurea’s guidelines.