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  • TRACE DOMINGUEZ: Hey, everyone.

  • Thanks for tuning in to Seeker Plus.

  • I know this is also on Seeker.

  • This is a slightly different format

  • where we get really deep into a topic for a little while.

  • So stick with us.

  • I'm Trace.

  • This is going to be really cool.

  • We're talking about artificial intelligence today.

  • And we didn't want to present it as artificial intelligence is

  • scary or artificial intelligence is the best,

  • but come down in the middle and give you both perspectives

  • because there are people on both sides of pretty much every one

  • of these debates.

  • So let's kick into it.

  • Artificial intelligence is everywhere,

  • and it's growing both in scope and also in scale.

  • It's just getting to be in everything.

  • And people have strong opinions on this.

  • One article called "The Debate Itself--

  • Singulatarians Versus Skeptics," which

  • we thought was kind of cool.

  • And people do see artificial intelligence

  • as a possible threat--

  • people like Elon Musk, Stephen Hawking,

  • Bill Gates kind of, and at one point Steve Wozniak.

  • On the other side, people see artificial intelligence

  • as the future and inevitable-- people

  • like Larry Page of Google-- and said that in order for Google

  • to achieve its mission, that means achieving AI.

  • Mark Zuckerberg uses AI to run his home,

  • and Facebook is moving towards having AI assistants.

  • Even Uber has an AI division.

  • So it is like this old tech new tech and with Elon Musk

  • right in the middle.

  • But chances are you all probably know this stuff already

  • because you follow Science News likely

  • if you're watching this show.

  • But one way to think about this is positives and negatives.

  • Everyone has an opinion about AI, and both of those opinions

  • are usually valid.

  • So we thought we'd see how the debate is put together

  • rather than coming down on one side or the other.

  • So let's quickly define artificial intelligence.

  • It's not just robots and chat bots and assistants.

  • It's being used across all sorts of fields in industries,

  • and it's computers and it's machines

  • imitating human intelligence.

  • But it's not just that.

  • It's more than just learning.

  • It's more than just replicating our intelligence.

  • It's about learning new things, and it's also

  • about the machines learning on their own.

  • The big idea, the big concept here could be great,

  • but it also could be kind of scary.

  • So let's talk about different ways

  • that you could apply artificial intelligence.

  • A big one being talked about right

  • now is artificially intelligent automobiles, trucks,

  • and cars that drive themselves, which, if you think about it,

  • that is an intelligent task.

  • It requires decision making and learning and learning

  • from your experiences.

  • And a big thing would be safety.

  • 90 percent of car accidents now, car crashes,

  • are caused by humans, human error.

  • Smart cars, intelligent cars, they

  • would be able to take in the environment around them.

  • GPS could tell them what roads they're on and also

  • what buildings are nearby and other monuments and things,

  • of course.

  • They have cameras and scanners.

  • So they can see the trees and the way the road actually moves

  • versus what it's supposed to do.

  • And you can see things like other cars.

  • Which what if they were smart, too?

  • Then they could interact with each other.

  • And then you have this network that is moving everywhere.

  • What if you have smart traffic lights?

  • Eventually this whole system could

  • be one giant AI system where they're all

  • talking to each other.

  • And then we could virtually eliminate 90% of crashes,

  • right?

  • Assuming we're eliminating all of the human error ones.

  • Of course, there are moral issues here.

  • The car might be designed to cause the least

  • damage to the owner of the car.

  • It might not want the car to be destroyed in a crash.

  • And so that's a moral question.

  • Can the owner of the car, say, a taxi company

  • decide not to protect passengers or predestines

  • over protecting their property?

  • This is an ethical dilemma.

  • What about a guy who owns a car?

  • He would want to protect his family at all costs.

  • But what if in doing so it sacrificed

  • other people's property or destroyed

  • other intelligent cars?

  • It gets complicated because nothing

  • is black and white when you get it out into the real world.

  • And that's part of the problem with artificial intelligence

  • across the board right now--

  • is that the real world is messy.

  • Is it worth it to have a self-driving intelligent car

  • that might not think some humans are worth saving

  • over other humans or that some property isn't worth saving

  • over other property even if it can prevent more accidents,

  • even if it knows the fastest routes and could drive itself,

  • so you wouldn't need to worry about people under age

  • or people over age or people who were

  • too intoxicated or inebriated in any number of different ways?

  • At the end of the day, intelligent automobiles

  • mean that, on the good side, we don't have to go to the DMV.

  • We don't have to worry about drunk driving.

  • But on the bad side, we're taking our control away

  • from something that happens all the time all around us

  • especially in urban areas.

  • So if you're in a car and it's raining and you slide,

  • you go around a corner and maybe something bad happens.

  • The road's too wet.

  • The car did something wrong.

  • It's either going to destroy the life

  • of the person in the car or a pedestrian on the sidewalk.

  • That decision is made by a machine not by a human

  • and maybe by somebody who programmed

  • or owned that machine.

  • We as a society have to make a decision

  • to give up that control and hand it to an artificially

  • intelligent machine.

  • How do you feel about that?

  • It's a debate.

  • There's good and bad on both sides.

  • And this applies across the board.

  • Let's go to another example--

  • marketing.

  • Marketing is pervasive, especially

  • in the era of the internet.

  • Marketers want to know where you're going to be,

  • what you're going to buy, and what it takes

  • to get you to buy something.

  • You shop for shoes that one time,

  • and now there's an ad for shoes on every website you

  • visit and that shoe and a couple of other different shoes

  • in a variety of true colors.

  • And they're all really nice, and you kind of want all of them.

  • But you kind of want none of them

  • because they're just everywhere.

  • Or maybe you regularly visit a site on your computer

  • before you buy something.

  • Maybe you visit it 20 times.

  • Now right now all of that stuff happens and all of that data

  • is there, but no one's really looking

  • at all of that data except artificially

  • intelligent machines.

  • Predictive shopping and also recommendation engines

  • on Netflix and on Amazon--

  • those are basic artificial intelligences.

  • So imagine if they got way better.

  • When you shop for something, do you just go and buy it

  • or do you visit the same site once or twice, then

  • maybe look at some reviews, then maybe ask your friends about it

  • and then go back and buy it?

  • An artificial intelligence system

  • might be able to get you to buy that sooner because they

  • know your behavior.

  • So when you go there the first time,

  • what if an artificial intelligent system

  • just pulled in recommendations from the sites that you already

  • visit that it knows you visit because of the cookies--

  • little files-- that all of those sites

  • have stored on your computer?

  • What if it knew your social network

  • and it went to your friends who it knew