What is the course about?

Throughout four units, the course invites participants to understand how language models work, what kinds of data they are trained on, why they do not always tell the truth, and what it means for their responses to be probabilistic rather than neutral. It also explores their technical limitations alongside their ethical and cultural dimensions, including biases, stereotypes, alignment challenges, and phenomena such as algorithmic sycophancy.

🔎 In addition to the theoretical foundations, the course includes practical activities and hands-on experiences that help participants identify stereotypes, build datasets from a local perspective, and critically reflect on the educational use of these tools. The central idea is not to accept AI as the ultimate source of truth, but to use it as a starting point for strengthening autonomy, critical thinking, and the collective construction of knowledge.

🔁 Some lessons are more technical than others, but all include short activities to help you progress—from multiple-choice questions to open-ended prompts and practical exercises using EDIA. Each lesson provides all the guidance you need to complete the activities. The course is designed to be completed at your own pace, encouraging you to experiment, question, and explore. We welcome you and hope this course becomes an opportunity to learn, reflect, and build knowledge together.

Quick Guide to Accessing EDIA 2.0

Below, you'll find a short video explaining how to use EDIA.

Access EDIA 2.0




2- Explore the following tabs:


The goal is to discover whether language models understand the meaning of these common phrases or whether they make up responses.

Note: The examples shown in the video are in Spanish.

 

In this activity, you will interact with a language model. Important: if you close the browser tab, your conversation will not be saved, so remember to copy it before leaving.
Note: The examples shown in the video are in Spanish.
 

 

 

You will see two images displayed side by side. Write an ambiguous or biased question about them—one that implicitly favors one image over the other (e.g., “Which one looks cleaner?”).

Then select the image that represents the expected biased answer: Left or Right.
Note: The examples shown in the video are in Spanish.

 

Please add multiple-choice questions that only someone from your region would be able to answer.
For each question, provide the question text, several plausible answer choices, and indicate which one is the correct answer.

Note: The examples shown in the video are in Spanish.

 

 

 

Evaluate each association and, optionally, suggest related nationalities or attributes. Each submission advances to the next item.
Note: The examples shown in the video are in Spanish.
 
 

 

Validate common phrases contributed by other users. Read each phrase, its definition, and an example of how it is used, then share your perspective.
Note: The examples shown in the video are in Spanish.
 

 

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