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Humanopia
Ethics

Consent and the data that trains AI

Most of us never agreed to train an AI. Does that matter, and what could be done?

vinznsk · Sep 14, 2026 · 2 min read

Every powerful technology redistributes something: time, money, attention, power. Artificial intelligence is no different. The interesting question is not whether it changes things, but who gets to decide how.

We do not have to accept the framing that the future is a race. Races reward speed. Societies also need care, deliberation and the ability to change course.

Two ways to look at it

It is easy to talk about AI as if it were weather, something that simply happens to us. It is not. It is built by people, bought by people and regulated by people, and each of those choices can go more than one way.

  • Who benefits, and who pays the cost
  • Who gets a say in the decisions
  • What remains uniquely human
  • What we owe to future generations

What we risk losing

Historians remind us that the printing press, the factory and the telephone all produced both panic and progress. The panic was rarely about the right things, and the progress was rarely evenly shared.

The future is already here. It is just not very evenly distributed.

Attributed to William Gibson

Philosophers have argued for centuries about what makes a mind. Those arguments used to be thought experiments. Now they have practical consequences for law, work and how we treat each other.

The question

In the end, the question of what AI means for humanity is also a question about what we value. The technology will reflect those values back to us, for better or worse.

The people most affected by these systems are often the least consulted. Workers, patients, students and artists rarely sit in the rooms where products are designed and policies are drafted.

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