A bold idea to replace politicians | César Hidalgo

400,532 views ・ 2019-04-03

TED


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00:13
Is it just me,
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or are there other people here
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that are a little bit disappointed with democracy?
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(Applause)
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So let's look at a few numbers.
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If we look across the world,
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the median turnout in presidential elections
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over the last 30 years
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has been just 67 percent.
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Now, if we go to Europe
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and we look at people that participated in EU parliamentary elections,
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the median turnout in those elections
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is just 42 percent.
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Now let's go to New York,
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and let's see how many people voted in the last election for mayor.
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We will find that only 24 percent of people showed up to vote.
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01:01
What that means is that, if "Friends" was still running,
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Joey and maybe Phoebe would have shown up to vote.
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(Laughter)
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And you cannot blame them because people are tired of politicians.
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And people are tired of other people using the data that they have generated
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to communicate with their friends and family,
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to target political propaganda at them.
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But the thing about this is that this is not new.
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Nowadays, people use likes to target propaganda at you
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before they use your zip code or your gender or your age,
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because the idea of targeting people with propaganda for political purposes
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is as old as politics.
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And the reason why that idea is there
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is because democracy has a basic vulnerability.
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This is the idea of a representative.
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In principle, democracy is the ability of people to exert power.
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But in practice, we have to delegate that power to a representative
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that can exert that power for us.
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That representative is a bottleneck,
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or a weak spot.
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It is the place that you want to target if you want to attack democracy
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because you can capture democracy by either capturing that representative
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or capturing the way that people choose it.
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So the big question is:
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Is this the end of history?
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Is this the best that we can do
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or, actually, are there alternatives?
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Some people have been thinking about alternatives,
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and one of the ideas that is out there is the idea of direct democracy.
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This is the idea of bypassing politicians completely
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and having people vote directly on issues,
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having people vote directly on bills.
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But this idea is naive
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because there's too many things that we would need to choose.
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If you look at the 114th US Congress,
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you will have seen that the House of Representatives
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considered more than 6,000 bills,
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the Senate considered more than 3,000 bills
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and they approved more than 300 laws.
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Those would be many decisions
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that each person would have to make a week
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on topics that they know little about.
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So there's a big cognitive bandwidth problem
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if we're going to try to think about direct democracy as a viable alternative.
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So some people think about the idea of liquid democracy, or fluid democracy,
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which is the idea that you endorse your political power to someone,
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who can endorse it to someone else,
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and, eventually, you create a large follower network
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in which, at the end, there's a few people that are making decisions
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on behalf of all of their followers and their followers.
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But this idea also doesn't solve the problem of the cognitive bandwidth
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and, to be honest, it's also quite similar to the idea of having a representative.
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So what I'm going to do today is I'm going to be a little bit provocative,
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and I'm going to ask you, well:
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What if, instead of trying to bypass politicians,
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we tried to automate them?
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The idea of automation is not new.
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It was started more than 300 years ago,
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when French weavers decided to automate the loom.
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The winner of that industrial war was Joseph-Marie Jacquard.
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He was a French weaver and merchant
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that married the loom with the steam engine
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to create autonomous looms.
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And in those autonomous looms, he gained control.
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He could now make fabrics that were more complex and more sophisticated
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than the ones they were able to do by hand.
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But also, by winning that industrial war,
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he laid out what has become the blueprint of automation.
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The way that we automate things for the last 300 years
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has always been the same:
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we first identify a need,
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then we create a tool to satisfy that need,
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like the loom, in this case,
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and then we study how people use that tool
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to automate that user.
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That's how we came from the mechanical loom
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to the autonomous loom,
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and that took us a thousand years.
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Now, it's taken us only a hundred years
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to use the same script to automate the car.
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But the thing is that, this time around,
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automation is kind of for real.
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This is a video that a colleague of mine from Toshiba shared with me
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that shows the factory that manufactures solid state drives.
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The entire factory is a robot.
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There are no humans in that factory.
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And the robots are soon to leave the factories
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and become part of our world,
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become part of our workforce.
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So what I do in my day job
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is actually create tools that integrate data for entire countries
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so that we can ultimately have the foundations that we need
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for a future in which we need to also manage those machines.
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But today, I'm not here to talk to you about these tools
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that integrate data for countries.
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But I'm here to talk to you about another idea
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that might help us think about how to use artificial intelligence in democracy.
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Because the tools that I build are designed for executive decisions.
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These are decisions that can be cast in some sort of term of objectivity --
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public investment decisions.
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But there are decisions that are legislative,
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and these decisions that are legislative require communication among people
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that have different points of view,
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require participation, require debate,
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require deliberation.
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And for a long time, we have thought that, well,
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what we need to improve democracy is actually more communication.
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So all of the technologies that we have advanced in the context of democracy,
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whether they are newspapers or whether it is social media,
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have tried to provide us with more communication.
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But we've been down that rabbit hole,
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and we know that's not what's going to solve the problem.
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Because it's not a communication problem,
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it's a cognitive bandwidth problem.
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So if the problem is one of cognitive bandwidth,
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well, adding more communication to people
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is not going to be what's going to solve it.
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What we are going to need instead is to have other technologies
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that help us deal with some of the communication
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that we are overloaded with.
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Think of, like, a little avatar,
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a software agent,
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a digital Jiminy Cricket --
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(Laughter)
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that basically is able to answer things on your behalf.
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And if we had that technology,
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we would be able to offload some of the communication
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and help, maybe, make better decisions or decisions at a larger scale.
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And the thing is that the idea of software agents is also not new.
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We already use them all the time.
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We use software agents
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to choose the way that we're going to drive to a certain location,
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the music that we're going to listen to
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or to get suggestions for the next books that we should read.
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So there is an obvious idea in the 21st century
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that was as obvious as the idea
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of putting together a steam engine with a loom at the time of Jacquard.
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And that idea is combining direct democracy with software agents.
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Imagine, for a second, a world
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in which, instead of having a representative that represents you
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and millions of other people,
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you can have a representative that represents only you,
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with your nuanced political views --
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that weird combination of libertarian and liberal
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and maybe a little bit conservative on some issues
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and maybe very progressive on others.
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Politicians nowadays are packages, and they're full of compromises.
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But you might have someone that can represent only you,
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if you are willing to give up the idea
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that that representative is a human.
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If that representative is a software agent,
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we could have a senate that has as many senators as we have citizens.
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And those senators are going to be able to read every bill
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and they're going to be able to vote on each one of them.
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So there's an obvious idea that maybe we want to consider.
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But I understand that in this day and age,
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this idea might be quite scary.
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In fact, thinking of a robot coming from the future
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to help us run our governments
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sounds terrifying.
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But we've been there before.
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(Laughter)
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And actually he was quite a nice guy.
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So what would the Jacquard loom version of this idea look like?
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It would be a very simple system.
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Imagine a system that you log in and you create your avatar,
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and then you're going to start training your avatar.
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So you can provide your avatar with your reading habits,
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or connect it to your social media,
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or you can connect it to other data,
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for example by taking psychological tests.
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And the nice thing about this is that there's no deception.
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You are not providing data to communicate with your friends and family
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that then gets used in a political system.
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You are providing data to a system that is designed to be used
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to make political decisions on your behalf.
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Then you take that data and you choose a training algorithm,
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because it's an open marketplace
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in which different people can submit different algorithms
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to predict how you're going to vote, based on the data you have provided.
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And the system is open, so nobody controls the algorithms;
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there are algorithms that become more popular
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and others that become less popular.
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Eventually, you can audit the system.
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You can see how your avatar is working.
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If you like it, you can leave it on autopilot.
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If you want to be a little more controlling,
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you can actually choose that they ask you
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every time they're going to make a decision,
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or you can be anywhere in between.
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One of the reasons why we use democracy so little
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may be because democracy has a very bad user interface.
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And if we improve the user interface of democracy,
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we might be able to use it more.
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Of course, there's a lot of questions that you might have.
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Well, how do you train these avatars?
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How do you keep the data secure?
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How do you keep the systems distributed and auditable?
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How about my grandmother, who's 80 years old
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and doesn't know how to use the internet?
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Trust me, I've heard them all.
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So when you think about an idea like this, you have to beware of pessimists
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because they are known to have a problem for every solution.
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(Laughter)
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So I want to invite you to think about the bigger ideas.
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The questions I just showed you are little ideas
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because they are questions about how this would not work.
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The big ideas are ideas of:
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What else can you do with this
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if this would happen to work?
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And one of those ideas is, well, who writes the laws?
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In the beginning, we could have the avatars that we already have,
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voting on laws that are written by the senators or politicians
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that we already have.
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But if this were to work,
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you could write an algorithm
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that could try to write a law
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that would get a certain percentage of approval,
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and you could reverse the process.
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Now, you might think that this idea is ludicrous and we should not do it,
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but you cannot deny that it's an idea that is only possible
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in a world in which direct democracy and software agents
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are a viable form of participation.
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So how do we start the revolution?
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We don't start this revolution with picket fences or protests
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or by demanding our current politicians to be changed into robots.
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That's not going to work.
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This is much more simple,
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much slower
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and much more humble.
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We start this revolution by creating simple systems like this in grad schools,
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in libraries, in nonprofits.
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And we try to figure out all of those little questions
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and those little problems
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that we're going to have to figure out to make this idea something viable,
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to make this idea something that we can trust.
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And as we create those systems that have a hundred people, a thousand people,
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a hundred thousand people voting in ways that are not politically binding,
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we're going to develop trust in this idea,
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the world is going to change,
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and those that are as little as my daughter is right now
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are going to grow up.
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And by the time my daughter is my age,
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maybe this idea, that I know today is very crazy,
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might not be crazy to her and to her friends.
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And at that point,
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we will be at the end of our history,
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but they will be at the beginning of theirs.
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Thank you.
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(Applause)
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