Before using any results, critically evaluate their content.

How? Check the data, facts or arguments against reliable sources (notes, books, reference websites).

Ask yourself: Is it correct? Is it specific? Where does this information come from?

Conclusion: Remember that AI systematically makes mistakes and invents things that appear to be true.

You need to be aware that AI systems can contain and amplify biases and stereotypes present in the data they have been trained on.

How? Consider whether the generated text or image could discriminate against a particular group, reinforce a prejudice, or fail to represent the diversity of society.

Ask yourself: Do you have similarities with my surroundings?Does it respect the dignity of all? 

Conclusion: Remember not to assume that the result is objective or neutral.

Before entering any personal or sensitive information, consider the risks involved in sharing such data.

How? Be mindful of the data you enter in the AI system. Do not share names, addresses, or personal details about yourself or your colleagues.

Ask yourself: How does the system handle the data? Can you request that it be deleted later?

Conclusion: Remember that what you write may be used to train the model and so you can lose traceability.

Whilst AI can serve as a learning aid, all too often it is used to replace such basic skills as writing or reading, and of course this of course amounts to a cognitive surrender that affects critical thinking and creativity.

How? Stick to your own judgement and use it occasionally, rather than on a regular basis - for example, to generate ideas, summarise complex information or explore different perspectives – but always take an active role.

Ask yourself: Are you exaggerating capabilities (hyperbole)? Are you delegating functions?

Conclusion: Remember that taking decisions about your work and learning content is part of the educational process.