Reflections & stories
Ideas, experiences and learnings about education, technology and coexistence.
Showing 7 of 7 articles
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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When novelty is no longer innocent: Artificial intelligence
The novelty deserves curiosity, but not an exemption from responsibility. The criterion begins when we stop confusing a demonstration with a decision.
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The question that comes too late: Artificial intelligence
Automated decisions don't fail just because of a technical error: they fail when we ask who responds after someone has already suffered its consequences.
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The hidden cost of convenience: Artificial intelligence
AI promises to take work off our shoulders, but convenience comes at a cost when we stop seeing what decisions, data, and dependencies we are accepting in exchange.
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The promise that no one is discussing: Artificial intelligence
The discussion about AI does not begin when an algorithm fails: it begins before, when we accept that a human decision is presented as if it were inevitable.
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