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Any new technology, if it's used by evil people, bad things can happen. But that's more a question of the politics of the technology.
Geoffrey Hinton
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Interpretation

What this quote means

The impact of technology is determined by how it is used, particularly by people's intentions.

Geoffrey Hinton emphasizes that technology itself is neutral; it is the people who wield it that can produce either beneficial or harmful outcomes. The effectiveness and morality of a technology's application largely depend on the political and ethical frameworks that guide its use.

Themes

TechnologyEvilPoliticsUseImpact

In practice

Example use cases

In a debate about AI ethics, this quote can be used to highlight the responsibility of developers.

More from Geoffrey Hinton

The role of radiologists will evolve from doing perceptual things that could probably be done by a highly trained pigeon to doing far more cognitive things.
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Everybody right now, they look at the current technology, and they think, 'OK, that's what artificial neural nets are.' And they don't realize how arbitrary it is. We just made it up! And there's no reason why we shouldn't make up something else.
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In the long run, curiosity-driven research just works better... Real breakthroughs come from people focusing on what they're excited about.
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In science, you can say things that seem crazy, but in the long run, they can turn out to be right. We can get really good evidence, and in the end, the community will come around.
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Most people in AI, particularly the younger ones, now believe that if you want a system that has a lot of knowledge in, like an amount of knowledge that would take millions of bits to quantify, the only way to get a good system with all that knowledge in it is to make it learn it. You are not going to be able to put it in by hand.
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I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.
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