Reflections & stories
Ideas, experiences and learnings about education, technology and coexistence.
Showing 372 of 376 articles
What we lose when everything is automated: Artificial intelligence
Each automation eliminates a detour. Sometimes it was in that detour where the conversation, learning, or correction that prevented a bigger problem occurred.
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The human part that remains unresolved: Artificial intelligence
We automate what we know how to describe. The difficult part of a job is usually what no one has managed to put in writing: interpreting a context, listening to a doubt or recognizing a need in time.
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The mistake of confusing speed with progress: Artificial intelligence
Going faster does not mean going to a better place. Confusing the two turns a promise of efficiency into costly decisions for those who must live with them.
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A technology that also speaks of power: Artificial intelligence
Behind every system there is a question that is not only technical: who can build it, who should use it and who has no choice but to accept its consequences.
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The border that has become blurred: Artificial intelligence
We no longer always distinguish with the naked eye what is recorded from what is generated. The answer is not to distrust everything: it is to learn to ask where an image comes from, what context it has and who is responsible for it.
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The detail that alters the entire discussion: Artificial intelligence
In many controversies about artificial intelligence there is a small technical detail that completely changes the case: what is measured, what is omitted, or what happens when someone doesn't fit.
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Why it matters more now than a year ago: Artificial intelligence
What has changed is not only the power of the models: it is the place they occupy. They have entered the workplace, the classroom, and procedures that affect people who cannot simply ignore them.
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The decision that has already been made for us: Artificial intelligence
Many decisions that affect us are already made before we arrive: by default, by design, or by a setting that no one showed us. Recovering choice begins by making them visible.
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The debate that does not fit in a headline: Artificial intelligence
An incumbent needs to choose a side in a nutshell. Artificial intelligence does not fit there: it needs conversations that distinguish uses, risks, responsibilities and contexts.
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The simple answer trap: Artificial intelligence
A well-written answer looks like a verified answer. This confusion, repeated every day, is one of the most expensive mistakes we can make when using artificial intelligence.
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What changes when we look slower: Artificial intelligence
Looking slowly is not going against technology: it is the way to distinguish what improves a situation from what only accelerates it and shifts the problem to another person.
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The conversation we are avoiding: Artificial intelligence
We talk a lot about what artificial intelligence can do and too little about the work that sustains it: who prepares the data, who reviews the answers, and who responds when they make mistakes.
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