Using AI is easy.
Understanding what you are delegating when you use it is much harder.
The students of FP and university carry the AI in their pocket. He uses it to do jobs, to search for information, to write. But no one has explained how it really works, what data it uses, what biases it has incorporated or what it means to delegate thought to a tool.
This conference does not teach how to use the best AI. Teaches you to look at it: what it does, what it does not do and what happens when it is used without criteria. It generates the kind of honest debate that rarely occurs in the classroom. Students come out with remaining questions.
For high school and higher grade students and college students who already use AI in their day to day. For teachers who want to work on critical awareness of AI but do not know how to approach it without sounding like a prohibition. For centers that want to start the institutional conversation about AI from students.
A real understanding of how AI systems work they use: what data they train them, what biases they can have, why they are wrong and why sometimes they are not wrong, even if they are generating something wrong.
Three questions that are carried out forever: What am I delegating? What responsibility do I have for what I produce with AI? Can I sign it as mine?
Teacher Note: This conference works especially well as a work or project opening session where students are going to use AI. Generate the critical framework before the task starts.
1h or 2h with participatory dynamics adapted to the group.
Face-to-face or videoconference.
Custom quote according to duration, location and format.
Spanish or English
Tell us about the context and we confirm availability in less than 48 hours.
