Tom Chatfield Quotes

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

The computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation.

Truly smart technologies will remind us that we are not mere automatons who assist big data in asking and answering questions.

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

Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.

One thing that humans still do better than computers is recognize images.

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

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.

Machine learning is the science of getting computers to learn without being explicitly programmed.

Everyone talks about how much data's in the world. Except, actually, 80% of it is pretty blind to computers. I mean, it can store it. But if it's a movie, a poem, a song, it doesn't know what it's actually saying or doing.

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.

Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry.

Artificial intelligence is one of 50 things that Watson does. There is also machine learning, text-to-speech, speech-to-text, and different analytical engines - they're like little Lego bricks. You can put intelligence in any product or any process you have.

Everybody uses computers to train so much now that the first nine or 10 moves of a match are made without thinking.

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

I've come to a view that humans will continue to do what we do well, and that computers will continue to do what they do very well, and the two will coexist, but in different spaces.

Interactive computers and software will, I think, provide a less costly method of doing some kinds of inquiry, in knowledge acquisition and even reasoning and interaction.

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.

Computers are great tools, but they need to be applied to the physical world.

If you want to solve very complex problems, you will have to end up letting machines work out a lot of the details for themselves, and in ways that we don't understand what they are doing.

By 2029, computers will have emotional intelligence and be convincing as people.

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.

I've always been interested in technology, but specifically how we can use machines to engage the imagination. I started using computers when I was young and was fascinated by creating rules and instructions that allow a computer to engage in a dialogue with humans. The stories found in the data all around us can do just that.

It seems like everything that we see perceived in the brain before we actually use our own eyes, that everything we see is coming through computers or machines and then is being input in our brain cells. So that really worries me.