Oren Etzioni Quotes

We're making progress, but getting machines to replicate our ability to perceive and manipulate the world remains incredibly hard.

Nobody phrases it this way, but I think that artificial intelligence is almost a humanities discipline. It's really an attempt to understand human intelligence and human cognition.

Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.

If you wanted to design a robot that could learn as well as it possibly could, you might end up with something that looked a lot like a 3-year-old.

We often attribute 'understanding' and other cognitive predicates by metaphor and analogy to cars, adding machines, and other artifacts, but nothing is proved by such attributions.

When I was building robots in the early 1990s, the problems of voice recognition, image understanding, VOIP, even touchscreen technologies - these were robotics problems.

The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.

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.

I don't think there's anything unique about human intelligence.

Is artificial intelligence less than our intelligence?

Robots have already surpassed human beings in calculation and memory, but I have no doubt that the time will come when they will surpass in wisdom as well.

To make real progress in A.I., we have to overcome the big challenges in the area of common sense.

Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.

The big AI dreams of making machines that could someday evolve to do intelligent things like humans could - I was turned off by that. I didn't really think that was feasible when I first joined Stanford.

Google seems to be more intelligent than some people.

Human players have their strengths and weaknesses and Watson is the same way. He just has different strengths and weaknesses than most people.

Early AI was mainly based on logic. You're trying to make computers that reason like people. The second route is from biology: You're trying to make computers that can perceive and act and adapt like animals.

The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.

I think the automation of vision is a much bigger deal than the invention of perspective.

You may not realize it, but artificial intelligence is all around us.

I want to build the next CNN with 'VICE' - it's within my grasp.

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.

There is huge demand for artificial intelligence technologies.

The most important thing for building a robot that you can interact with socially is its visual attention system. Because what it pays attention to is what it's seeing and interacting with, and what you're understanding what it's doing.

Drinking a cup of coffee with your eyes closed isn't a sophisticated task for a person, but it's hard for a robot.