Evgeny Morozov Quotes

If computers remain far worse than us at image recognition, a certain over-confident combination of man and machine can elsewhere take inaccuracy to a whole new level.

When human judgment and big data intersect there are some funny things that happen.

Data is going to be dynamic... and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.

I think that AI will lead to a low cost and better quality life for millions of people. Like electricity, it's a possibility to build a wonderful society. Also, right now, I don't see a clear path for AI to surpass human-level intelligence.

I often tell my students not to be misled by the name 'artificial intelligence' - there is nothing artificial about it. AI is made by humans, intended to behave by humans, and, ultimately, to impact humans' lives and human society.

AI is neither good nor evil. It's a tool. It's a technology for us to use.

In chess, computers show that what we call 'strategy' is reducible to tactics, ultimately. It only looks creative to us. They are still just glorified cash registers. This should make us feel uncomfortable, whether or not we think computers will ever be good composers of music or artistic painters.

The basis of computer work is predicated on the idea that only the brain makes decisions and only the index finger does the work.

There is a real danger that computers will develop intelligence and take over. We urgently need to develop direct connections to the brain so that computers can add to human intelligence rather than be in opposition.

People are good at figuring out what's attractive, and computers are good at quickly searching and finding. You put them together, and bang!

As far as what is the line between human and machine? That's a great question.

If you want a machine to be able to interact with people, it better not do things that are surprising to people.

Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.

Since the rise of Homo sapiens, human beings have been the smartest minds around. But very shortly - on a historical scale, that is - we can expect technology to break the upper bound on intelligence that has held for the last few tens of thousands of years.

The big question society will have to answer is whether it wants computers thinking like humans.

As a science fiction fan, I had always assumed that when computers supplemented our intelligence, it would be because we outsourced some of our memory to them. We would ask questions, and our machines would give oracular - or supremely practical - replies.

As a society, we are underinvesting resources in research on the societal implications of AI technologies.

The revolution in AI [artifical intelligence] has been profound. It surprised me, even though I was sitting right there.

My take is that A.I. is taking over. A few humans might still be 'in charge,' but less and less so.

As more intelligent computer assistance comes into being, it will amplify human progress.

A new, a vast, and a powerful language is developed for the future use of analysis, in which to wield its truths so that these may become of more speedy and accurate practical application for the purposes of mankind than the means hitherto in our possession have rendered possible.

We want to build intelligence that augments human abilities and experiences.

I want an AI-powered society because I see so many ways that AI can make human life better. We can make so many decisions more systematically or automate away repetitive tasks and save so much human time.

Computers seem a little too adaptively flexible, like the strange natives, odd societies, and head cases we study in the social sciences. There's more opposable thumb in the digital world than I care for; it's awfully close to human.

Watson augments human decision-making because it isn't governed by human boundaries. It draws together all this information and forms hypotheses, millions of them, and then tests them with all the data it can find. It learns over time what data is reliable, and that's part of its learning process.