My dream is to achieve AI for the common good.
At least inside the city of Seattle, driving is going to be a hobby in 2035. It's not going to be a mode of commuting the same way hunting is a hobby for some people, but it's not how most of us get our food.
Cloud computing, smartphones, social media platforms, and Internet of Things devices have already transformed how we communicate, work, shop, and socialize. These technologies gather unprecedented data streams leading to formidable challenges around privacy, profiling, manipulation, and personal safety.
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.
Because of their exceptional ability to automatically elicit, record, and analyze information, A.I. systems are in a prime position to acquire confidential information.
When you think of driverless cars, there's a huge potential for these cars to save lives by preventing accidents and by reducing congestion on highways.
All these things that we've contemplated, whether it's space travel or solutions to diseases that plague us, Ebola virus, all of these things would be a lot more tractable if the machines are trying to solve these problems.
People thrive on genuine connections - not with machines, but with each other. You don't want a robot taking care of your baby; an ailing elder needs to be loved, to be listened to, fed, and sung to. This is one job category that people are - and will continue to be - best at.
Instead of expecting truck drivers and warehouse workers to rapidly retrain so they can compete with tireless, increasingly capable machines, let's play to their human strengths and create opportunities for workers as companions and caregivers for our elders, our children, and our special-needs population.
I could do a whole talk on the question of is AI dangerous.' My response is that AI is not going to exterminate us. It's a tool that's going to empower us.
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 works really well when you couple AI in a raisin bread model. AI is the raisins, but you wrap it in a good user interface and product design, and that's the bread. If you think about raisin bread, it's not raisin bread without the raisins. Right? Then it's just bread, but it's also not raisin bread without the bread. Then it's just raisins.
Life is short. Don't do the same thing everyone else is doing - that's such a herd mentality. And don't do something that's two percent better than the other person. Do something that changes the world.
Even seemingly innocuous housecleaning robots create maps of your home. That is information you want to make sure you control.
I don't think that all the coal miners - or even more realistically, say, the truck drivers whose jobs may be put out by self-driving cars and trucks - they're all going to go and become web designers and programmers.
Things that are so hard for people, like playing championship-level Go and poker, have turned out to be relatively easy for the machines. Yet at the same time, the things that are easiest for a person - like making sense of what they see in front of them, speaking in their mother tongue - the machines really struggle with.
My family is my number one priority.
Taking new technology and incorporating into how people work and live is not easy.
Just as our roads and bridges are overdue for investment, so is the infrastructure for scientific research; that is, the body of scientific thought and the tools for searching through it.
It's paradoxical that things that are hard for people are easy for the computer, and things that are hard for the computer, any child can understand.