Oren Etzioni

Understanding of natural language is what sometimes is called 'AI complete,' meaning if you can really do that, you can probably solve artificial intelligence.

Sooner or later, the U.S. will face mounting job losses due to advances in automation, artificial intelligence, and robotics.

Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI.

The popular dystopian vision of AI is wrong for one simple reason: it equates intelligence with autonomy. That is, it assumes a smart computer will create its own goals and have its own will and will use its faster processing abilities and deep databases to beat humans at their own game.

When you have a large amount of data that is labeled so a computer knows what it means, and you have a large amount of computing power, and you're trying to find patterns in that data, we've found that deep learning is unbeatable.

I'm not so worried about super-intelligence and 'Terminator' scenarios. Frankly I think those are quite farfetched.

I became interested in AI in high school because I read 'Goedel, Escher, Bach,' a book by Douglas Hofstader. He showed how all their work in some ways fit together, and he talked about artificial intelligence. I thought 'Wow, this is what I want to be doing.'

In the past, much power and responsibility over life and death was concentrated in the hands of doctors. Now, this ethical burden is increasingly shared by the builders of AI software.

It's much more likely that an asteroid will strike the Earth and annihilate life as we know it than AI will turn evil.

The truth is that behind any AI program that works is a huge amount of, A, human ingenuity and, B, blood, sweat and tears. It's not the kind of thing that suddenly takes off like 'Her' or in 'Ex Machina.'

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

If you believe everything you read, you are probably quite worried about the prospect of a superintelligent, killer AI.