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I'm here to offer you[br]a new way to think about my field,

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artificial intelligence.

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I think the purpose of AI

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is to empower humans[br]with machine intelligence.

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And as machines get smarter,

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we get smarter.

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I call this "humanistic AI" --

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artificial intelligence[br]designed to meet human needs

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by collaborating and augmenting people.

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Now, today I'm happy to see

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that the idea of an intelligent assistant

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is mainstream.

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It's the well-accepted metaphor[br]for the interface between humans and AI.

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And the one I helped create[br]is called Siri.

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You know Siri.

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Siri is the thing that knows your intent

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and helps you do it for you,

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helps you get things done.

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But what you might not know[br]is that we designed Siri

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as humanistic AI,

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to augment people[br]with a conversational interface

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that made it possible for them[br]to use mobile computing,

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regardless of who they were[br]and their abilities.

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Now for most of us,

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the impact of this technology

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is to make things[br]a little bit easier to use.

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But for my friend Daniel,

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

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You see, Daniel is a really social guy,

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and he's blind and quadriplegic,

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

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The last time I was at his house,[br]his brother said,

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"Hang on a second, Daniel's not ready.

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He's on the phone with a woman[br]he met online."

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I'm like, "That's cool, how'd he do it?"

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Well, Daniel uses Siri[br]to manage his own social life --

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his email, text and phone --

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without depending on his caregivers.

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This is kind of interesting, right?

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The irony here is great.

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Here's the man whose relationship with AI

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helps him have relationships[br]with genuine human beings.

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And this is humanistic AI.

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Another example with[br]life-changing consequences

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is diagnosing cancer.

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When a doctor suspects cancer,

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they take a sample[br]and send it to a pathologist,

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who looks at it under a microscope.

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Now, pathologists look at[br]hundreds of slides

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and millions of cells every day.

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So to support this task,

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some researchers made an AI classifier.

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Now, the classifier says,[br]"Is this cancer or is this not cancer?"

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looking at the pictures.

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The classifier was pretty good,

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but not as good as the person,

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who got it right most of the time.

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

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accuracy went to 99.5 percent.

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

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that the human pathologist[br]would have made working alone.

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That's a lot of cancer[br]that would have otherwise gone untreated.

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Now, for the curious, it turns out

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that the human was better[br]at rejecting false positives,

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

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But the lesson here isn't about[br]which agent is better

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at this image-classification task.

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Those things are changing every day.

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The lesson here

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is that by combining the abilities[br]of the human and machine,

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it created a partnership[br]that had superhuman performance.

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And that is humanistic AI.

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Now let's look at another example

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with turbocharging performance.

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This is design.

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Now, let's say you're an engineer.

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You want to design[br]a new frame for a drone.

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You get out your favorite[br]software tools, CAD tools,

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and you enter the form and the materials,[br]and then you analyze performance.

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That gives you one design.

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If you give those same tools to an AI,

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it can generate thousands of designs.

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This video by Autodesk is amazing.

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This is real stuff.

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So this transforms how we do design.

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The human engineer now

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says what the design should achieve,

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and the machine says,

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"Here's the possibilities."

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Now in her job, the engineer's job

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

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which she knows as a human[br]better than anyone else,

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using human judgment and expertise.

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In this case, the winning form

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looks kind of like something[br]nature would have designed,

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minus a few million years of evolution

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and all that unnecessary fur.

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Now let's see where this idea[br]of humanistic AI might lead us

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if we follow it into[br]the speculative beyond.

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What's a kind of augmentation[br]that we would all like to have?

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Well, how about cognitive enhancement?

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Instead of asking,

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"How smart can we make our machines?"

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let's ask

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"How smart can our machines make us?"

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I mean, take memory for example.

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Memory is the foundation[br]of human intelligence.

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But human memory is famously flawed.

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We're great at telling stories,

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but not getting the details right.

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And our memories -- they decay over time.

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I mean, like, where did the '60s go,[br]and can I go there, too?

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(Laughter)

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

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and was about your life?

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What if you could remember[br]every person you ever met,

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how to pronounce their name,

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their family details,[br]their favorite sports,

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the last conversation you had with them?

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If you had this memory all your life,

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you could have the AI look[br]at all the interactions

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you had with people over time

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

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What if you could have the AI read[br]everything you've ever read

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and listen to every song[br]you've ever heard?

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From the tiniest clue,[br]it could help you retrieve

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anything you've ever seen or heard before.

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

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and form new ideas.

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And what about our bodies?

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

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every pill we take,

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every all-nighter we pull?

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We could do our own science[br]on our own data

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about what makes us feel[br]good and stay healthy.

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And imagine how this could revolutionize

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the way we manage[br]allergies and chronic disease.

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

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I can't say when or what[br]form factors are involved,

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but I think it's inevitable,

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because the very things[br]that make AI successful today --

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the availability of comprehensive data

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and the ability for machines[br]to make sense of that data --

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can be applied to the data of our lives.

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

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because we lead digitally mediated lives,

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in mobile and online.

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In my view, a personal memory[br]is a private memory.

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We get to choose what is and is not[br]recalled and retained.

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It's absolutely essential[br]that this be kept very secure.

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Now for most of us,

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the impact of augmented personal memory

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will be a more improved mental gain,

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maybe, hopefully, a bit more social grace.

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But for the millions who suffer[br]from Alzheimer's and dementia,

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the difference that augmented[br]memory could make

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is a difference[br]between a life of isolation

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and a life of dignity and connection.

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

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I mean, in just the past few years,

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we're beginning to see[br]solutions to AI problems

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that we have struggled[br]with literally for decades:

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speech understanding, text understanding,

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image understanding.

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

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

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

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to overcome our cognitive limitations

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and to help us do what we want to do,

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only better.

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And as we discover new ways[br]to give machines intelligence,

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we can distribute that intelligence

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to all of the AI assistants in the world,

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and therefore to every person,[br]regardless of circumstance.

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And that is why,

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every time a machine gets smarter,

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we get smarter.

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That is an AI worth spreading.

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Thank you.

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(Applause)