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

I’m here to offer you
a new way to think about my field,

artificial intelligence.

I think the purpose of AI

is to empower humans
with machine intelligence.

And as machines get smarter,

we get smarter.

I call this “humanistic AI” –

artificial intelligence
designed to meet human needs

by collaborating and augmenting people.

Now, today I’m happy to see

that the idea of an intelligent assistant

is mainstream.

It’s the well-accepted metaphor
for the interface between humans and AI.

And the one I helped create
is called Siri.

You know Siri.

Siri is the thing that knows your intent

and helps you do it for you,

helps you get things done.

But what you might not know
is that we designed Siri

as humanistic AI,

to augment people
with a conversational interface

that made it possible for them
to use mobile computing,

regardless of who they were
and their abilities.

Now for most of us,

the impact of this technology

is to make things
a little bit easier to use.

But for my friend Daniel,

the impact of the AI
in these systems is a life changer.

You see, Daniel is a really social guy,

and he’s blind and quadriplegic,

which makes it hard to use those devices
that we all take for granted.

The last time I was at his house,
his brother said,

“Hang on a second, Daniel’s not ready.

He’s on the phone with a woman
he met online.”

I’m like, “That’s cool, how’d he do it?”

Well, Daniel uses Siri
to manage his own social life –

his email, text and phone –

without depending on his caregivers.

This is kind of interesting, right?

The irony here is great.

Here’s the man whose relationship with AI

helps him have relationships
with genuine human beings.

And this is humanistic AI.

Another example with
life-changing consequences

is diagnosing cancer.

When a doctor suspects cancer,

they take a sample
and send it to a pathologist,

who looks at it under a microscope.

Now, pathologists look at
hundreds of slides

and millions of cells every day.

So to support this task,

some researchers made an AI classifier.

Now, the classifier says,
“Is this cancer or is this not cancer?”

looking at the pictures.

The classifier was pretty good,

but not as good as the person,

who got it right most of the time.

But when they combine the ability
of the machine and the human together,

accuracy went to 99.5 percent.

Adding that AI to a partnership
eliminated 85 percent of the errors

that the human pathologist
would have made working alone.

That’s a lot of cancer
that would have otherwise gone untreated.

Now, for the curious, it turns out

that the human was better
at rejecting false positives,

and the machine was better
at recognizing those hard-to-spot cases.

But the lesson here isn’t about
which agent is better

at this image-classification task.

Those things are changing every day.

The lesson here

is that by combining the abilities
of the human and machine,

it created a partnership
that had superhuman performance.

And that is humanistic AI.

Now let’s look at another example

with turbocharging performance.

This is design.

Now, let’s say you’re an engineer.

You want to design
a new frame for a drone.

You get out your favorite
software tools, CAD tools,

and you enter the form and the materials,
and then you analyze performance.

That gives you one design.

If you give those same tools to an AI,

it can generate thousands of designs.

This video by Autodesk is amazing.

This is real stuff.

So this transforms how we do design.

The human engineer now

says what the design should achieve,

and the machine says,

“Here’s the possibilities.”

Now in her job, the engineer’s job

is to pick the one that best meets
the goals of the design,

which she knows as a human
better than anyone else,

using human judgment and expertise.

In this case, the winning form

looks kind of like something
nature would have designed,

minus a few million years of evolution

and all that unnecessary fur.

Now let’s see where this idea
of humanistic AI might lead us

if we follow it into
the speculative beyond.

What’s a kind of augmentation
that we would all like to have?

Well, how about cognitive enhancement?

Instead of asking,

“How smart can we make our machines?”

let’s ask

“How smart can our machines make us?”

I mean, take memory for example.

Memory is the foundation
of human intelligence.

But human memory is famously flawed.

We’re great at telling stories,

but not getting the details right.

And our memories – they decay over time.

I mean, like, where did the ’60s go,
and can I go there, too?

(Laughter)

But what if you could have a memory
that was as good as computer memory,

and was about your life?

What if you could remember
every person you ever met,

how to pronounce their name,

their family details,
their favorite sports,

the last conversation you had with them?

If you had this memory all your life,

you could have the AI look
at all the interactions

you had with people over time

and help you reflect on the long arc
of your relationships.

What if you could have the AI read
everything you’ve ever read

and listen to every song
you’ve ever heard?

From the tiniest clue,
it could help you retrieve

anything you’ve ever seen or heard before.

Imagine what that would do
for the ability to make new connections

and form new ideas.

And what about our bodies?

What if we could remember the consequences
of every food we eat,

every pill we take,

every all-nighter we pull?

We could do our own science
on our own data

about what makes us feel
good and stay healthy.

And imagine how this could revolutionize

the way we manage
allergies and chronic disease.

I believe that AI will make
personal memory enhancement a reality.

I can’t say when or what
form factors are involved,

but I think it’s inevitable,

because the very things
that make AI successful today –

the availability of comprehensive data

and the ability for machines
to make sense of that data –

can be applied to the data of our lives.

And those data are here today,
available for all of us,

because we lead digitally mediated lives,

in mobile and online.

In my view, a personal memory
is a private memory.

We get to choose what is and is not
recalled and retained.

It’s absolutely essential
that this be kept very secure.

Now for most of us,

the impact of augmented personal memory

will be a more improved mental gain,

maybe, hopefully, a bit more social grace.

But for the millions who suffer
from Alzheimer’s and dementia,

the difference that augmented
memory could make

is a difference
between a life of isolation

and a life of dignity and connection.

We are in the middle of a renaissance
in artificial intelligence right now.

I mean, in just the past few years,

we’re beginning to see
solutions to AI problems

that we have struggled
with literally for decades:

speech understanding, text understanding,

image understanding.

We have a choice in how we use
this powerful technology.

We can choose to use AI
to automate and compete with us,

or we can use AI to augment
and collaborate with us,

to overcome our cognitive limitations

and to help us do what we want to do,

only better.

And as we discover new ways
to give machines intelligence,

we can distribute that intelligence

to all of the AI assistants in the world,

and therefore to every person,
regardless of circumstance.

And that is why,

every time a machine gets smarter,

we get smarter.

That is an AI worth spreading.

Thank you.

(Applause)

我在这里为您提供
一种新的方式来思考我的领域,

人工智能。

我认为人工智能的目的

是赋予
人类机器智能。

随着机器变得更聪明,

我们也变得更聪明。

我称之为“人文人工智能”——

旨在

通过协作和增强人类来满足人类需求的人工智能。

现在,今天我很高兴

看到智能助手的想法成为

主流。

这是
人类与人工智能之间的接口的广为接受的隐喻。

我帮助创建的一个
叫做 Siri。

你知道 Siri。

Siri 知道您的意图

并帮助您为您

做事,帮助您完成工作。

但你可能不知道的
是,我们将 Siri 设计

为人性化的人工智能,

通过对话界面增强人们的能力

,使他们
能够使用移动计算,

无论他们是谁
和他们的能力如何。

现在对我们大多数人来说,

这项技术的影响

是让
事情变得更容易使用。

但对我的朋友丹尼尔来说,

人工智能
在这些系统中的影响是改变生活的。

你看,丹尼尔是一个非常善于交际的人

,他是个盲人,四肢瘫痪,

这使得我们很难使用
那些我们都认为理所当然的设备。

上次我去他家时,
他哥哥说:

“等一下,丹尼尔还没准备好。

他正在和
他在网上认识的一个女人通电话。”

我想,“这很酷,他是怎么做到的?”

好吧,丹尼尔使用 Siri
来管理他自己的社交生活——

他的电子邮件、短信和电话——

而不依赖于他的照顾者。

这有点有趣,对吧?

这里的讽刺是伟大的。

这是一个与人工智能

的关系帮助他
与真正的人类建立关系的人。

这就是人性化的人工智能。

另一个
改变生活后果的例子

是诊断癌症。

当医生怀疑癌症时,

他们会采集样本
并将其发送给病理学家,

病理学家会在显微镜下进行观察。

现在,病理学家每天要查看
数百张载玻片

和数百万个细胞。

因此,为了支持这项任务,

一些研究人员制作了一个 AI 分类器。

现在,分类器说,
“这是癌症还是不是癌症?”

看着图片。

分类器非常好,

但不如

大部分时间都正确的人。

但是当他们
将机器和人类的能力结合在一起时,

准确率达到了 99.5%。

将人工智能添加到合作伙伴关系中,

消除了人类病理学家
单独工作时 85% 的错误。

这是很多癌症
,否则将不会得到治疗。

现在,出于好奇,事实

证明人类更
擅长拒绝误报,

而机器更
擅长识别那些难以发现的病例。

但这里的教训不是关于
哪个智能体更

擅长这个图像分类任务。

这些事情每天都在变化。

这里的教训

是,通过结合
人类和机器的能力,

它创造了
一种具有超人表现的伙伴关系。

这就是人文人工智能。

现在让我们看一下

涡轮增压性能的另一个例子。

这就是设计。

现在,假设您是一名工程师。

您想
为无人机设计一个新框架。

你拿出你最喜欢的
软件工具、CAD 工具

,输入表格和材料,
然后分析性能。

这为您提供了一种设计。

如果您将这些相同的工具提供给 AI,

它可以生成数千种设计。

Autodesk 的这段视频很棒。

这是真实的东西。

因此,这改变了我们进行设计的方式。

人类工程师现在

说设计应该实现什么

,机器说,

“这就是可能性。”

现在在她的工作中,工程师的工作

是选择最能
满足设计目标的设计目标,

作为人类,她
比其他任何人都更了解设计目标,

使用人类的判断力和专业知识。

在这种情况下,获胜的形式

看起来有点像
大自然设计的东西,

减去几百万年的进化

和所有不必要的皮毛。

现在让我们看看,如果我们将这种
人文主义人工智能理念

引入投机之外,它可能会将我们引向何方。

我们都希望拥有什么样的增强功能?

那么,认知增强呢?

而不是问

“我们的机器能有多聪明?”

让我们问

“我们的机器能让我们变得多聪明?”

我的意思是,以记忆为例。

记忆
是人类智能的基础。

但众所周知,人类的记忆是有缺陷的。

我们擅长讲故事,

但没有把细节搞好。

还有我们的记忆——它们会随着时间的推移而衰减。

我的意思是,就像,60 年代去哪里了,
我也可以去那里吗?

(笑声)

但是,如果你能拥有一个
和电脑内存一样好的记忆,

而且是关于你的生活的呢?

如果你能记住
你见过的每一个人,

他们的名字如何发音,

他们的家庭细节,
他们最喜欢的运动,

你和他们的最后一次谈话,会怎样?

如果您一生都拥有这种记忆,

那么您可以让 AI 查看

您与人的所有互动,

并帮助您反思人际关系的长
弧。

如果您可以让 AI 读取
您读过的所有内容

并聆听
您听过的每一首歌曲,那会怎样?

从最微小的线索中,
它可以帮助您检索

您以前见过或听过的任何东西。

想象一下,这
对于建立新联系

和形成新想法的能力会有什么影响。

那么我们的身体呢?

如果我们能记住
我们吃的每一种食物、吃的

每一片药片、

每一个通宵熬夜的后果会怎样?

我们可以
根据自己的数据进行自己的科学研究,

了解是什么让我们感觉
良好并保持健康。

想象一下这将如何

彻底改变我们管理
过敏和慢性病的方式。

我相信人工智能将使
个人记忆增强成为现实。

我不能说什么时候或什么
形式因素涉及,

但我认为这是不可避免的,

因为
今天让人工智能成功的东西——

全面数据的可用性


机器理解这些数据的能力——

可以 应用于我们生活的数据。

这些数据今天就在这里
,我们所有人都可以使用

,因为我们

在移动和在线方面过着数字媒体的生活。

在我看来,个人记忆
就是私人记忆。

我们可以选择
召回和保留的内容。

保持非常安全是绝对必要的。

现在对我们大多数人来说,

增强的个人记忆力的影响

将是一个更大的心理增益,

也许,希望,更多的社交礼仪。

但对于数百万
患有阿尔茨海默氏症和痴呆症

的人来说,增强
记忆

可能带来的
差异是

隔离的生活与尊严和联系的生活之间的差异。

我们现在正处于人工智能的复兴
之中。

我的意思是,就在过去的几年里,

我们开始看到几十年来一直在努力
解决的人工智能问题的解决方案

语音理解、文本理解、

图像理解。

我们可以选择如何使用
这项强大的技术。

我们可以选择使用人工智能
来实现自动化并与我们竞争,

或者我们可以使用人工智能来增强
我们并与我们协作,

以克服我们的认知限制

并帮助我们做我们想做的事情,

而且做得更好。

当我们发现
赋予机器智能的新方法时,

我们可以将这种智能分

发给世界上所有的人工智能助手

,因此也可以分发给每个人,
无论情况如何。

这就是为什么

每次机器变得更聪明,

我们就会变得更聪明。

那是一个值得传播的人工智能。

谢谢你。

(掌声)