Reflections & stories
Ideas, experiences and learnings about education, technology and coexistence.
Showing 60 of 62 articles
What a screen cannot decide: Artificial intelligence
A screen can organize information and show options. It does not know for itself what loss is acceptable, what exception is fair, or what a person needs to feel heard.
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The problem is not technical, it is cultural: Artificial intelligence
A new tool alone does not change an organization. If the culture rewards haste, hides mistakes, or avoids questions, artificial intelligence will amplify those habits.
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The responsibility that no one can delegate: Artificial intelligence
A tool can propose, order or recommend. The obligation to explain a decision, repair damage and respond to the affected person continues to be human.
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The future does not arrive the same for everyone: Artificial intelligence
The same tool produces different effects depending on who receives it. Talking about the future in the singular obscures differences in access, time, support and ability to choose.
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Inequality that travels within the system: Artificial intelligence
Inequality does not appear suddenly when artificial intelligence is used. It can travel in the data, in the design and in the alternatives that some people have and others do not.
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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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