Reflections & stories
Ideas, experiences and learnings about education, technology and coexistence.
Showing 372 of 385 articles
The hidden cost of convenience: Automation and work
Automated convenience can create operational debt. Each shortcut reduced immediate work while accumulating dependencies and fragile knowledge.
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The promise that no one is discussing: Automation and work
Automation promises to free up time, but you have to follow through. The hours did not disappear: they changed tasks, people and visibility.
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The question that should open the next debate: Artificial intelligence
Before discussing what a tool can do, it is worth asking what problem is worth solving and which people should be involved in the decision.
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The conversation that deserves more time: Artificial intelligence
Artificial intelligence accelerates responses, but important decisions require a conversation where doubts, consequences and voices appear that an instruction does not contain.
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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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