Artificial Intelligence Foundations for Broadening Cultural Horizons

This course offers a comprehensive and critical journey through the world of artificial intelligence. Across four units, it invites participants to understand how language models work, what data they are trained on, why they don't always tell the truth, and what it means for their responses to be probabilistic rather than neutral. It explores their technical limits as well as their ethical and cultural dimensions: biases, stereotypes, alignment problems, and phenomena such as algorithmic sycophancy.

🔎 Beyond the theoretical foundations, the course offers hands-on activities and experiences that help identify stereotypes, build data with a local perspective, and critically reflect on the educational use of these tools. The invitation is clear: don't accept AI as the final truth, but use it as a starting point to strengthen autonomy, critical thinking, and the collective construction of knowledge.

🔁 Some classes have a more technical component than others, but all of them include short activities to help you progress: from multiple-choice questions to open-ended prompts and hands-on exercises with the EDIA tool. In each class, you'll find the instructions needed to complete them.

The idea is that you can go through the course at your own pace, experimenting, questioning, and asking. We welcome you and hope this course will be an opportunity to learn, question, and build knowledge collectively.