But what would their record be like when everything works as it should?

但是，當一切正常運轉時，他們的唱片會是什麼樣子呢？

Here we go, on our first ride in autonomous vehicle, it's just me in the car and the robot.

來了，我們第一次乘坐自主車，車上只有我和機器人。

Everything we do from here on out is going to be the autonomous vehicle taking full control.

從現在開始，我們所做的一切，都將是自主汽車全面掌控。

Oh, while we were driving across this campus just now, a child ran in front of the car and has promised the autonomous vehicle did its job.

呵呵，剛才我們開車穿過這個校園的時候，有一個孩子跑到車前，已經答應了自主車的工作。

It stopped 1.25 million.

它停止了125萬。

That's the number of people who die in auto accidents every year.

這就是每年死於車禍的人數。

Worldwide.

全球範圍內。

In the United States, more than 40,000 people were killed in accidents in 2016 6% more than the previous year.

在美國，2016年有4萬多人在事故中喪生，比上年增加6%。

It's much worse than all terrorist attacks, much worse than all playing pressures, and we never really talked about it.

這比所有的恐怖襲擊都要嚴重得多，比所有的打壓都要嚴重得多，我們從來沒有真正談過這個問題。

I'm on a mission here.

我在這裡執行任務。

When I was 18 years old, I lost my best friend in a traffic accident due to a split second bad decision, and I felt it was just such a waste, and as the technologies I felt I gotta fix this.

在我18歲的時候，我因為一瞬間的錯誤決定，在一次交通事故中失去了我最好的朋友，我覺得這就是一種浪費，作為技術我覺得我得解決這個問題。

I actually believe with only self driving cars, there would be no accidents.

其實我相信只有自動駕駛汽車，就不會發生事故。

Look, cast on text.

看，投在文字上。

They don't distracted drunk.

他們不心不在焉喝醉。

They pay attention all the time.

他們一直在關注。

There was so much better than people.

有那麼多比人好的地方。

That's the goal.

這就是我們的目標。

But how do we get there?

但是，我們如何去那裡？

For answers?

要答案嗎？

I went toe Waymo, the self driving arm of Google's parent company in Silicon Valley, where engineers are building technology that has clocked more than four million miles of autonomous driving.

我去了Waymo，谷歌母公司在硅谷的自動駕駛部門，那裡的工程師們正在打造技術，已經打卡了超過400萬英里的自動駕駛。

Jamie Widow is the lead systems engineer who came toe Waymo after putting a rover on Mars for NASA.

傑米-維多是首席系統工程師，他在為美國宇航局把一輛火星車放到火星上後，來到了Waymo。

She also co wrote Way Most Playbook on Autonomous Driving Safety.

她還與人合寫了《自動駕駛安全最好玩的方式》。

We have layers of safety around the vehicle.

我們在車輛周圍設置了層層安全防護。

We have radars that can see the speed of things, so we know if they're moving or static objects.

我們的雷達可以看到物體的速度，所以我們知道它們是移動還是靜止的物體。

We have lasers, lighters that paint a three D image of the world.

我們有脈衝光，打火機，可以畫出世界的三D形象。

They can see a football helmet, two football fields away and they can see 360 degrees around the car.

他們可以看到一個足球頭盔，兩個足球場的距離，他們可以看到360度的汽車周圍。

And all of that allows us to see things and see them very far away and see them at high resolution to make all of those decisions and understanding about our world so you can see the things playing out in front of you and you can slow down and respond safely.

而所有這些都讓我們能夠看到事物，看到非常遠的東西，看到高分辨率的東西，來做出所有這些關於我們世界的決定和理解，所以你可以看到在你面前播放的東西，你可以放慢速度，安全地做出反應。

Before I left, I had to ask, What's more difficult getting driverless cars here on Earth or putting a rover on Mars, its self driving cars by far.

在我離開之前，我不得不問，把無人駕駛汽車弄到地球上和把漫遊車放到火星上哪個更難，它的自動駕駛汽車到目前為止。

So what are we going to know that these cars are safe enough to drive?

那麼，我們要知道這些車的安全性如何呢？

I asked a lawyer who's an expert on that very question.

我問了一個律師，他是這個問題的專家。

This is one of the really tough questions, not just how safe is safe enough.

這是一個真正的難題，不僅僅是多安全才夠安全。

But how do we know that the vehicle is that safe?

但我們怎麼知道車輛有那麼安全呢？

How do we know?

我們怎麼知道？

How will we know?

我們怎麼會知道？

We don't and we're not sure.

我們不知道，我們也不確定。

I think that there will be a lot of new issues that automation creates, but ultimately we are ill served by today's transportation system.

我認為，自動化會帶來很多新的問題，但歸根結底，今天的交通系統對我們的服務是不利的。

We talk about the car traditionally as being this symbol of freedom.

我們傳統上講汽車是這種自由的象徵。

You're not free if you're dead.

如果你死了，你就不自由了。

This is the part that really freaks people out.

這是真正把人嚇壞的部分。

If my car is the one doing the driving, how can I trust it not to kill me or someone I love in a bad situation?

如果是我的車在做駕駛，我怎麼能相信它不會在不好的情況下殺死我或我愛的人？

Will the car choose one person over the other.

汽車會不會選擇一個人而不是另一個人。

It's a question philosophers call the trolley problem.

這個問題哲學家稱之為電車問題。

Picture this.

想象一下

A trolley car is heading down a track toward a family of five.

一輛電車正沿著軌道向一家五口駛去。

That air stuck.

那空氣卡住了。

You can save them by pulling a lever and changing the course of the train, But there's one man stuck on the other track.

你可以通過拉動操縱桿改變火車的行駛路線來救他們，但是有一個人卡在了另一條軌道上。

Is it more ethical toe?

是不是更有道德的腳趾？

Let the family die or sacrifice the one man so they could be saved.

讓他們一家死，或者犧牲一個人，這樣他們就能得到救贖。

What would a car driven by a computer do?

由電腦駕駛的汽車會做什麼？

It's not that the trolley problem is impossible to come up.

小車問題不是不可能出現。

It's not, but an error has been made if that were ever to occur.

不是的，但如果發生這種情況，就會出現錯誤。

If you're ever in a situation where you're faced with the trolley problem, the car has made a much more serious error.

如果你曾經遇到過手推車的問題，那這輛車就犯了一個更嚴重的錯誤。

It should have been more conservative so that it was never faced with that situation.

它應該更加保守，這樣它就永遠不會面臨這種情況。

In other words, we may be thinking about this all wrong.

換句話說，我們可能是想錯了。

If you think about a computer playing chess, it's moving many, many moves ahead more moves than you possibly could.

如果你想到電腦下棋，它比你可能提前很多很多步。

And analyzing the computer is able to process this environment and anticipate much better than you could and operate with much better accuracy than you can were able to track objects all around the car and detect them with superhuman levels of perception.

而分析電腦能夠處理這個環境，並比你能更好地預測，操作的準確度也比你能更好地跟蹤汽車周圍的物體，並以超人的感知水準檢測它們。

This, of course, all assumes that the car is in working order.

當然，這一切的前提是，車子是在工作狀態下。

But these cars are computers, after all, and any computer can be hacked.

但這些車畢竟是電腦，任何電腦都可以被黑。