How AI can enhance our memory, work and social lives | Tom Gruber

193,624 views ・ 2017-08-21

TED


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譯者: Lilian Chiu 審譯者: 易帆 余
00:12
I'm here to offer you a new way to think about my field,
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今天來到這裡,是想邀請大家 從一個新的角度來看我熟悉的領域:
00:16
artificial intelligence.
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人工智慧。
00:18
I think the purpose of AI
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我認為人工智慧的目的,
00:20
is to empower humans with machine intelligence.
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是要用機器智慧來增強人類的能力。
00:25
And as machines get smarter,
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而隨著機器變得更聰明,
00:27
we get smarter.
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我們也會更聰明。
00:29
I call this "humanistic AI" --
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我稱這個為「人性化人工智慧」──
00:32
artificial intelligence designed to meet human needs
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透過與人工智慧合作並 強化人類的設計方式
00:35
by collaborating and augmenting people.
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來滿足人類的需求。
00:39
Now, today I'm happy to see
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如今,我很高興能看到
00:41
that the idea of an intelligent assistant
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智慧助理的這個想法
00:44
is mainstream.
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能成為主流。
00:45
It's the well-accepted metaphor for the interface between humans and AI.
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這象徵了人類與人工智慧之間的 互動介面已被廣泛接受。
00:51
And the one I helped create is called Siri.
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而其中一個 我協助創造的就是 Siri。
00:54
You know Siri.
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各位都認識 Siri。
00:55
Siri is the thing that knows your intent
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Siri 會知道你的意圖,
00:58
and helps you do it for you,
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並協助你
01:00
helps you get things done.
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把一切搞定。
01:02
But what you might not know is that we designed Siri
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但各位可能不知道, 當初我們在設計 Siri 時,
01:05
as humanistic AI,
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就把它定位在 「人性化的人工智慧」,
01:07
to augment people with a conversational interface
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透過對話介面的方式來強化人類,
01:10
that made it possible for them to use mobile computing,
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讓使用行動計算成為可能,
01:14
regardless of who they were and their abilities.
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不論他們是誰、 能力如何,都可以使用。
01:18
Now for most of us,
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對我們大多數人而言,
01:20
the impact of this technology
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受到這項技術的影響
01:23
is to make things a little bit easier to use.
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是讓我們在使用東西上 變得比較容易。
01:25
But for my friend Daniel,
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但對我朋友丹尼爾而言,
01:29
the impact of the AI in these systems is a life changer.
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卻是改變了他一生的人工智慧系統。
01:33
You see, Daniel is a really social guy,
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丹尼爾是個很愛社交的人,
01:37
and he's blind and quadriplegic,
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他也是個四肢麻痺的盲人,
01:40
which makes it hard to use those devices that we all take for granted.
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我們認為理所當然的裝置設備, 對他來說卻很難用。
01:44
The last time I was at his house, his brother said,
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上次我去他家,他哥哥說:
01:46
"Hang on a second, Daniel's not ready.
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「等等,丹尼爾還沒準備好。
他正在和他線上認識的女生講電話。」
01:48
He's on the phone with a woman he met online."
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01:52
I'm like, "That's cool, how'd he do it?"
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我說:「好酷,他怎麼辦到的?」
01:54
Well, Daniel uses Siri to manage his own social life --
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丹尼爾用 Siri 來管理 他自己的社交生活──
01:58
his email, text and phone --
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他的電子郵件、訊息、電話──
02:00
without depending on his caregivers.
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不用依賴他的照護者。
02:04
This is kind of interesting, right?
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這挺有趣的,對吧?
02:06
The irony here is great.
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這也相當諷刺。
02:07
Here's the man whose relationship with AI
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這個人與人工智慧的關係
02:10
helps him have relationships with genuine human beings.
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協助他與真正的人類建立了關係。
02:14
And this is humanistic AI.
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這就是人性化的人工智慧。
02:19
Another example with life-changing consequences
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還有一個可以 改變人生結果的例子,
02:21
is diagnosing cancer.
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也就是癌症診斷。
02:24
When a doctor suspects cancer,
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當醫生懷疑你有癌症時,
02:26
they take a sample and send it to a pathologist,
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他們會先取樣交給病理學家,
02:29
who looks at it under a microscope.
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病理學家再利用顯微鏡來看樣本。
02:31
Now, pathologists look at hundreds of slides
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病理學家每天要看數百片的載玻片
02:34
and millions of cells every day.
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及數百萬個細胞。
02:37
So to support this task,
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所以為了支援這項工作,
02:38
some researchers made an AI classifier.
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有幾位研究人員做出了一種 人工智慧分類器。
02:43
Now, the classifier says, "Is this cancer or is this not cancer?"
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現在,分類器已經會看著圖片說:
「這是不是癌症?」
02:47
looking at the pictures.
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02:50
The classifier was pretty good,
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分類器挺厲害的,
02:52
but not as good as the person,
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但沒有人類那麼厲害,
02:55
who got it right most of the time.
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人類大部份都能判讀正確。
02:58
But when they combine the ability of the machine and the human together,
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但,當機器與人類的能力 結合在一起時,
03:04
accuracy went to 99.5 percent.
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正確率可以達到 99.5%。
03:08
Adding that AI to a partnership eliminated 85 percent of the errors
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加上人工智慧的協作, 人類病理學家
03:13
that the human pathologist would have made working alone.
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能減少個人判斷時 85% 的錯誤。
03:18
That's a lot of cancer that would have otherwise gone untreated.
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這相當多啊,很多癌症患者, 當初就是因誤判而耽擱了治療。
03:22
Now, for the curious, it turns out
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人類因為好奇的原因,所以
03:24
that the human was better at rejecting false positives,
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比較擅長判斷錯誤的假陽性案例,
03:28
and the machine was better at recognizing those hard-to-spot cases.
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而機器比較擅長判斷 難以辨別的案例。
03:31
But the lesson here isn't about which agent is better
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但我們學到的並不是
在比誰在圖像分類上比較厲害。
03:35
at this image-classification task.
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03:37
Those things are changing every day.
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那些東西每天都會變。
03:39
The lesson here
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這裡我們學到的是,
03:41
is that by combining the abilities of the human and machine,
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藉由結合人類與機器的能力,
03:44
it created a partnership that had superhuman performance.
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其創造出的合作關係 會有超人般的表現。
03:50
And that is humanistic AI.
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而這就是人性化的人工智慧 。
03:54
Now let's look at another example
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我們再舉個例子,
03:56
with turbocharging performance.
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這方面的進步也是突飛猛進。
03:58
This is design.
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那就是「設計。」
04:00
Now, let's say you're an engineer.
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假設你是個工程師,
04:02
You want to design a new frame for a drone.
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你想要設計一個新的無人機骨架。
04:04
You get out your favorite software tools, CAD tools,
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你拿出你最愛的 軟體工具,電腦繪圖輔助工具,
04:07
and you enter the form and the materials, and then you analyze performance.
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你輸入了外形和材料, 然後按下分析表現。
04:11
That gives you one design.
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它只會跑出一種設計方案。
04:13
If you give those same tools to an AI,
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如果你把這些工具 拿給人工智慧使用,
04:17
it can generate thousands of designs.
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它會幫你跑出數千種設計。
04:22
This video by Autodesk is amazing.
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歐特克做的影片非常震撼。
04:23
This is real stuff.
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這是真實案例。
04:25
So this transforms how we do design.
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這改變了我們設計的方式。
04:29
The human engineer now
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現在,人類工程師
04:30
says what the design should achieve,
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只要說出想要達成的設計,
04:33
and the machine says,
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機器就會說:
04:34
"Here's the possibilities."
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「有這些可能性方案。」
04:37
Now in her job, the engineer's job
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現在,她的工作,工程師的工作,
04:40
is to pick the one that best meets the goals of the design,
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就是選出一種最符合目標的設計,
04:43
which she knows as a human better than anyone else,
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這是她身為人類最擅長的,
04:47
using human judgment and expertise.
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用的就是人類的判斷和專業。
04:49
In this case, the winning form
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在這案例中,脫穎而出的設計
04:50
looks kind of like something nature would have designed,
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像是自然界設計出來的,
04:53
minus a few million years of evolution
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但這樣的設計, 不需要幾百萬年的演化
04:55
and all that unnecessary fur.
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也不需有那些皮毛。
05:00
Now let's see where this idea of humanistic AI might lead us
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我們現在來想想, 如果我們跟著人性化人工智慧走,
05:04
if we follow it into the speculative beyond.
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它會把我們帶到那些 意想不到的境界?
05:07
What's a kind of augmentation that we would all like to have?
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我們想要的強化,有哪些方面?
05:11
Well, how about cognitive enhancement?
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認知強化如何?
05:15
Instead of asking,
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別再問:
05:17
"How smart can we make our machines?"
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「我們能把機器做到多聰明?」
05:19
let's ask
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我們要改問:
05:20
"How smart can our machines make us?"
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「我們的機器能把我們變多聰明?」
05:24
I mean, take memory for example.
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我的意思是,例如「記憶力。」
05:27
Memory is the foundation of human intelligence.
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記憶是人類智慧的基礎。
05:31
But human memory is famously flawed.
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但人類的記憶力是出名的差。
05:35
We're great at telling stories,
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我們很會說故事,
05:37
but not getting the details right.
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但無法把細節說正確。
05:39
And our memories -- they decay over time.
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我們的記憶力會隨時間衰退。
05:42
I mean, like, where did the '60s go, and can I go there, too?
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就像六十年代去哪了? 我也能去那兒嗎?
05:45
(Laughter)
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(笑聲)
05:48
But what if you could have a memory that was as good as computer memory,
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但如果你能擁有和電腦 一樣好的記憶力,
05:53
and was about your life?
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而且這些記憶與你的人生有關, 那會如何呢?
05:57
What if you could remember every person you ever met,
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如果你能記得你見過的每一個人、
06:00
how to pronounce their name,
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叫得出每一個人的名字、
06:02
their family details, their favorite sports,
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家庭狀況的細節、他們最愛的運動、
06:04
the last conversation you had with them?
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你和他們上次的對話,那會如何呢?
06:06
If you had this memory all your life,
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如果你一生都有這樣的記憶,
06:09
you could have the AI look at all the interactions
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你就可以要求人工智慧 去看看你過去
06:12
you had with people over time
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與人們的所有互動,
06:13
and help you reflect on the long arc of your relationships.
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並協助你反思你的人際關係弧線。
06:18
What if you could have the AI read everything you've ever read
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如果我們能讓人工智慧去閱讀 所有你閱讀過的東西、
06:23
and listen to every song you've ever heard?
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去聽你聽過的每首歌,會如何呢?
06:27
From the tiniest clue, it could help you retrieve
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從最微小的線索,它就能協助你找回
06:30
anything you've ever seen or heard before.
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你以前看過或聽過的任何東西。
06:33
Imagine what that would do for the ability to make new connections
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想像一樣,那對於
建立新連結以及產生新點子的 能力會有什麼影響。
06:37
and form new ideas.
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06:38
And what about our bodies?
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那麼,我們的身體呢?
06:41
What if we could remember the consequences of every food we eat,
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如果我們能記得 我們吃過的每樣食物、
06:45
every pill we take,
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每顆藥物、
06:48
every all-nighter we pull?
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記得每次熬夜 K 書的內容, 那會如何?
06:50
We could do our own science on our own data
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我們可以用自己的資料 來做自己的科學,
06:53
about what makes us feel good and stay healthy.
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找出什麼會讓我們 感覺很好並保持健康。
06:57
And imagine how this could revolutionize
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想像一下,這會為我們管理
06:59
the way we manage allergies and chronic disease.
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過敏及慢性病帶來怎樣的革命。
07:04
I believe that AI will make personal memory enhancement a reality.
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我相信,人工智慧能夠 實現個人記憶的強化。
07:10
I can't say when or what form factors are involved,
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我不知道何時或需要那些機緣,
07:14
but I think it's inevitable,
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但我認為它是一定會到來的,
07:17
because the very things that make AI successful today --
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因為人工智慧在現今 能夠成功的原因,
07:22
the availability of comprehensive data
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就是這些綜合性資料的可取得性,
07:25
and the ability for machines to make sense of that data --
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以及機器能從這些資料中 理解出意義的能力,
07:28
can be applied to the data of our lives.
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能為我們生活上的資料所用。
07:32
And those data are here today, available for all of us,
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我們現今就已經能夠 取得那些資料了,
07:35
because we lead digitally mediated lives,
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因為我們可以直接 用手機或上網的方式,
07:40
in mobile and online.
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將我們的生活與數位科技做連結。
07:43
In my view, a personal memory is a private memory.
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依我所見,個人的記憶 是私人的記憶。
07:47
We get to choose what is and is not recalled and retained.
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我們可以選擇要或不要, 回憶或保留哪些記憶。
07:52
It's absolutely essential that this be kept very secure.
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保持資料的安全絕對是有必要的。
07:57
Now for most of us,
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對大部份人來說,
07:58
the impact of augmented personal memory
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增強個人記憶希望產生的影響會是:
08:01
will be a more improved mental gain,
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可以獲得心智上的成長
08:04
maybe, hopefully, a bit more social grace.
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或是希望可以有更高雅的社交能力。
08:08
But for the millions who suffer from Alzheimer's and dementia,
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但對於數百萬受阿茲海默症 及癡呆症所苦的人而言,
08:15
the difference that augmented memory could make
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增加記憶能造成的改變,
08:17
is a difference between a life of isolation
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就是讓那孤獨的人生,
08:20
and a life of dignity and connection.
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變成有尊嚴及連結的人生。
08:23
We are in the middle of a renaissance in artificial intelligence right now.
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我們現在正在人工智慧的 文藝復興時期當中,
08:30
I mean, in just the past few years,
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僅僅在過去幾年,
08:32
we're beginning to see solutions to AI problems
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我們就開始看到 人工智慧問題的解決方法,
08:36
that we have struggled with literally for decades:
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這在過去數十年來, 一直是無法解決的問題,像是:
08:41
speech understanding, text understanding,
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口語理解、文字理解、
08:43
image understanding.
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圖像理解。
08:45
We have a choice in how we use this powerful technology.
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我們可以選擇要 如何使用這強大的技術。
08:51
We can choose to use AI to automate and compete with us,
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我們可以選擇用人工智慧 來做自動化並與我們競爭、
08:55
or we can use AI to augment and collaborate with us,
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或我們可以選擇用人工智慧 來做增強化並與我們合作,
08:59
to overcome our cognitive limitations
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來克服我們的認知限制,
09:03
and to help us do what we want to do,
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並協助我們去做我們想要做的事,
09:06
only better.
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而且做得更好。
09:08
And as we discover new ways to give machines intelligence,
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隨著我們發掘出新的方式 來將智慧賦予機器,
09:14
we can distribute that intelligence
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我們可以把那智慧移轉到
09:17
to all of the AI assistants in the world,
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全世界所有的人工智慧助理身上,
09:20
and therefore to every person, regardless of circumstance.
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且不論如何,都要確保 每個人都能因此受惠。
09:25
And that is why,
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那就是為什麼
09:26
every time a machine gets smarter,
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每次當機器變更聰明,
09:30
we get smarter.
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我們也會變更聰明。
09:32
That is an AI worth spreading.
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而這就是人工智慧值得推廣的原因。
09:36
Thank you.
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謝謝大家。
09:37
(Applause)
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(掌聲)
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