好 女士們 先生們 各位貴賓我們會繼續在這一個 forum 中我們在世界中 會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展我們會在這一個 forum 中會有不同的發展他們會介紹給我們什麼樣的未來世界會變得相似不同的人會告訴我們未來世界會變得完全不同從今天起所以我今天很高興有這些 panelists with me today首先,我們有教授邱安娜布萊森,從巴斯大學的大學和學校的大學接下來是副總統和副教授蜘蛛公司的副教授劉浸仁第三位是劉浸仁在中國的新副教授還有邱奕奕從基督教授的學校我們也歡迎你們還有什麼樣的我們也有副總統卡朱拉副總統阿斯托利亞以及在下一段時間我們會在下一段時間五到十年會在這段時間會在這段時間會在這段時間會在這段時間我們會在這段時間什麼樣的一刻可以告訴我們嗎我們會有You have your specialty fields, and my first question is from Mr. Liu, Liu Jiren.You are the first generation of doctor in computer science, and you represent new software, a computer science company.So you are one of the artist who was in touch with AI, and from your first hand experience, what kind of stage we are in now.Also, what will be the next few years by looking at the technology, by looking at the past decades.We really set up a digitalized world with later foundation and infrastructure and platforms.Number one, the computing cost is being driven down.Once it was very costly, now computing cost and storage has become cheaper and cheaper.Telecommunication has become cheaper, and these kind of cheaper are still in continuum.And also digital equipment or device has become everyone's device put together.We got to see this world connectivity has become faster, convenient and cheaper.And therefore, on the basis of this, we see more of the multiple applications, which made this world different.We see e-commerce, e-learning, we got to see different kinds of social media, the platforms, and the connection between people and objects.So real-time cheaper and cheaper, actually.And this led to some major breakthroughs, like in AI.When I was a university student, I read about AI and also virtual reality, and we see upheavals, ups and downs.But why AI has not been turned into a reality?Because we do not have a foundation or infrastructure in place.However, nowadays, we can do computing to do weather prediction forecast in an instant.But once, it took two days to predict the weather, and the storage also has become cheaper and cheaper.Another major change is the extraction of data has become more proactive and cheaper as well.And once, when you want to get data, you have to purchase the data.But now, you have free data.People are contributing data even about their privacy, their track record behavior, their lifestyle.They are contributing all these.And in digital society, you have more accuracy in identifying different individuals, their behavior.All these changes in discussing AI, the foundation is totally different today than yesterday.And once, we talked about what kind of algorithm.And once, we thought the algorithm was not speed enough, but the speed is not a problem.And once, you did not have enough preconditions like data information, but you got sufficient data information.And so, this is unprecedented.And what is AI?And what kind of legal status should it have and ethical issues surrounding AI?This is something we never experienced before.And so, because these data has given us a totally new world.And now worldwide, we see more and more population living in another space and their commercial behavior, governance.And it's totally different from yesterday because of the differences.So, they turned into economies, they turned into cultures.They turned into some major challenges and issues to discuss.Talking about the next 5 to 10 years, what will be the biggest major change?We will see, not to talk about more loss accumulation, cheaper and better, faster.Certainly, this is something we will see.But in the next 10 years, after 10 years, our understanding about the whole world will be more accurate.And the relationship between different objects, we will have a clearer picture and put together.And if we come up with a new algorithm, then regarding every sector today,we'll be talking about internet and people and their connection with people.Now, all these sectors, technology has become a disruptor or promoter of the internet.So, in the next 10 years, we will get to see something we never got to see in the past 20 years or 30 years.It will come faster and faster because of digitalization and better accuracy and more business models,new business models as well.China, for example, on these kind of platforms,more and more Chinese companies are coming into being and their productivity is being enhanced.And entrepreneurs of startups, they are becoming younger and younger.They accumulate wealth more quickly and this is something we never experienced.Especially those who do not have any capital only got a brain power and they could have a startup.And this is something we will get to see in the next 20 years, 10 years,digital startups to accumulate wealth and to come up with new business models.I call it something new normal.Now, I have a question for Joanna.You started in the 80s.You got involved in AI, computers.What kind of...Sorry, he was translate you for a while.Sorry.I mean, you have started your research concerning to computer and AI since 80s.So, that's a long time.So, I really want to know your feeling about those biggest change compared to those timesand what is the most exciting thing lying ahead.Oh, wow.Let's see.So, I think the biggest change is not because of artificial intelligence itself.It's not the algorithms, but has been, as everybody says,the expanding of the computers, the expanding of the internet.And then, of course, since 2007, the expanding of the personal data.So, it isn't been the details of AI that's changed.But in the last two or three years,what's been changing radically is the governance.It went from being toys to changing the world.And we've seen it change in democraciesthat there's been a challenge to democracy.And so, now people pay attention.Also, there's the change both on both sides of the Great Firewall.There has been a change of the tech companies becoming more powerfulthan petrochemical and then manufacturing.So, that's a big change.It's a big change in power structures.So, I think it isn't...And I loved your video,but I don't entirely agree with it.It's not that artificial intelligence is a bunch of people.There was a focus on these robots.Artificial intelligence is a means by which humansget control and information over their world, including each other.And so, I think the challenges,the biggest challenges going forwardthat we're spending a lot of time onis how do we handle the problems of accountability?I agree.I don't think...I actually don't think we need a lot of new laws.I think what we need is to help people to enforce the old lawsand to hold accountable companies that were not doing the correct thingswith respect to being careful.So, some companies,for example,Facebook became very powerful,maybe even not entirely intentionally,and then they weren't following the best business practice.And if the courts find them incorrect,then they should be held accountable.So, I think that we're making companiesare incredibly powerful.They're very rich.They're transnational.We need to figure out new ways to negotiate with that.I don't think that was really the question you asked me.So, just to say,the technology and before this sessionI had thought this when I first heard someone sayI would be most excited if we could do live translationand everyone everywhere talks in their own language.Like we have here,but we use people.That will.I think I keep expecting at one of these meetingswe're all going to have these headphonesand it's going to be...and it won't be as good as the people.We can put something here.Well,no,because it is still...We won't get the idioms.We won't understand all the pieces.It's still worth learning another language.But it will be like Google translate online.At least we could get the words and kind of guessif we know enough about the culture.So,I would love to have everybody speakin their native language all the time.That would be great.We're looking forward to it.OK.想請問我們周奎先生.I want to ask you,Mr.周奎,very famous startup company founderand also the investors.Would you please to share with meyour view?What are the fundamental or the most importantchange we are experiencing?And in your vision in the future,of course you will select some major changeshave great impact on the companies,on the industries.Well,we are in the process of informatization.Technology is a big step of humanity's civilization.And everything could be digitalized.We could stay connected.We can pull things together for algorithmand computation.And a lot of things are enabled.The symbol of the civilization is savedat cloud.Yesterday,in Shanghai,we invited Amazon,Tensant Google.We said that the people wisdom could be calculatedand computed and saved at cloud.Such kind of wisdom.In China,we say that elderly seasonsare most wise people.But the cloud stays young forever.And the brain of the cloud is expandingand exceeding the individual capacityof a single brain.AlphaGo is one of the milestonesand the chance is so difficult.And I believe it will have a lot ofchallenge to people.We need to get used to many changes.The top wisdom in the society could beaccessed by everyone at cloud.Maybe it's not today.We already see such a progress,maybe some of your personal lifeand your career choice,your personal choice,your career choice need to getadaptive to such a change.I believe these are the changeswe are having now.And we can form such a structure.We may have a very,verysuper social brain in the cloudwhich is able to support everyone.Well,I think that individual personcan already get tech wisdom,which means that the mobile phones,you can do it on your mobile phone,which cannot be imagined in the past.I'm able to see my location,the accurate location,which was you cannot imaginetwenty years ago.I believe this is what we have nowadaysand in the wisdom of theinformatization is growing quickly.People believe that connectivityis growing quickly.It's also the accumulated wisdomare also growing.Well,within your own vision,which industry or sectorwill enjoy the fastest growth?I think it's the industrystill in difficulties.Whenever we talk aboutthe technological revolution,we often say it wasthe change of mobility.We know that the mobilityis one of the highest costof human livesand mobility,transportation,autonomous driving.Five years ago,I said it was not difficult,you know nowadays,I think it's much less time.We already have some licensefor the autonomous driving.Maybe in the next five years,I could even useautonomous driving vehiclesand you can try it.In the next five years or lessin some regional range,transportation or mobilityis one of the topics of people's lifeand which is usually cost some money.Healthcare is difficult to educatea student to become a doctorand the doctor has toreceive education in the pasteight to nine years beforehe is qualified as doctor.But such a medical informationand knowledge could beaccumulatedand used bythe machines.When this brainor the machine brainis able to help you,you know that we can have fastertraining of the doctorswhen providing treatmentto the patientsand they are more accurateand they will have lessmistakes made.But you know this is a rising partof the business just started.The other industry or sectorstake a securityas an example.You know that we have vulnerabilitiesand the machine brainhas less vulnerabilities.It is ableto identify everythingin its memory.Why notI use it to servefor the security purpose.Of courseit brings new problems and challenges.The other thingsChina is a large manufacturingcountry.Why?Because China has a large populationbase.And I usedto work within a plant.There are so many assembly lineand the testing line.In assembly lineyou can do the assemblyby the machines.But to testwe have visual inspectionat the plant.Humansare slowerthan the machines in the visualinspection.Not onlythe speed but also the quality.For example,theapple mobile phoneand it is not.The jobis not done by people.It must bedone by the machines.There are a lot ofsectors and industries.And we will see penetrationofsuch a technology.Anywaythe companies will be drivenpartially by AI.People sayAI is not a specialindustry but it will go intoany kind of industry.I knowthat Mr. Xiao,you areand I know that you are oneof the pioneers in AIin combinationwith internet.Mr. Joetalked about security.Probablyyou have more things to say on that.In terms of finance or othersectors,what do you thinksome surprising changes you wantto tell us?In the past severalyears,we dosee radical changes in theworld every day.Peoplefeel depressionin fear ofthe possible changesor replacement by AI.You know that Chinesepeople are very smart andwork diligently and wedevelop practical science and technology.The application of AIin China,at thepresent,whichwe see very clearly,whichcan create most value withinthe commercial use,isthe advertisement algorithm,theadvertisement push up.Theother thing is that in thenew finance,it alreadycreate new value.We do seethe profit driven by AI.Andautonomous driving,whichis still on the experiment,whichis not ready,but in financewe already have it.In terms of finance,andthere is a concept.Youknow that in China,whichis the earliest industry,whichisdigitalized.Thatis a bank,orinfantamanization.In thepast,we had large machines,largecomputers.In financialsector,they have a very goodstorage of data,buthowto use the data.Howto apply data within thefinancial sector,which waspast,in the past.China's population,billion,1.4billion population.Youknow the supply and demand isnot in right balance,especiallywhen providing financial service tothe individual in China.Theintegrity system in China isnot quite sound,differentfrom US,which has a lot offacult data.There is aninadequate of integrity,orthe accredited rating dataof that in China.Oncethe AI penetrated intofinance,can create a lot ofvalue.The first one is interms of antifraud,andthe background check.Andthe result ofusing AI in financialindustry can drive down yourcost,which means bringmoney to you.Theother thing in the small loanoperation,you know thatusually in traditionalindustry,why they do notinvigial?Becausethey have a lot of costandthey have alot of cost of application forclimbing back the loan.Andall office could be addressed bythe AI solution.Inthe past years,we followedclosely with the technologyhow to implement thetechnology.It is truethat from the customeracquisition and how topick the right customer.Forexample,what wecan offer to themfinancially.Andalso we use some AIrecommendation algorithm toour customers.Theother thing is the approvalbefore the loan and antifraud.Wetalked so much aboutthe data generated atthe terminals,which canhelp us to identifysome small risks ofa fraud.I stillremember several years ago,wefind out one case ofa fraud.Inthe past,we can only identifythe fraud byhundreds of thousand ofexample.But now,somesmall possibility of fraud couldbedetected by several casesbecause the machines haveself-learning,checkingthe orders and thelocation of the transactionswhich can greatly preventand in ourapproval,90%of them are automaticwithout human interference.Postloan managementwithin our systemand ourorganization is not very large,maybehundreds of a billionassets under our management.Whatis the quality of the asset?Thenew asset fromlast month,how muchpercentage is good,how muchwe are not working.Youknow that there are6000 variables.Thereare so many variables,howto make the analysis by thepeople.We have machine learnedautomatically.They can identifythe MPL.We are able tooptimize the models so thatin the post-loan management,wecan accurately identify therisk to make our AUMin a healthy way.The otherthing is the claiming back ofthe loan.And we alsohave AI technology.And wecan lower our cost.And wecan make our financial servicemore inclusive within theindustry.Therefore,infinancial sector,AI has onesingle application,but alreadya good symbol showing that thewhole industry chain alreadyreceived the benefits.I believethat in the coming days,withmore practical application ofAI,we will see efficiencygrows in the society.Themultiply,we will havelower cost.You havetwo products,one is calledego AI,which is veryinteresting.Another expertat data,your companyis very popular now.It'sanalyzing,collecting dataand help other companies tomake better choice,the smartchoice.So what'syour opinion,yourperspective of what kind ofmoment we're in and whatchanged lying ahead?So Ithink like all the otherpanelists said,we're in thevery early days right now ofwhat's possible,as muchexcitement as there is arounddigital transformation andIoT,the number ofprocesses that truly arecensored end to end,andthe ability to collect thatdata is still really earlyand nascent.When I lookforward,I think for allof us to have a healthy societythere's always going to be risksand benefits to a new technologywith every progresscomes risks and benefits,andAI and machine learning have gotthat same edge of good and badbut part of the benefit should behow do we expose as manypeople to be able to participatein the way of this comingand what we seewith the many organizationswe're working with,there's threeaspects that I thinkwill help a broaderbased benefit.The firstis open access todata.We've all been talkingaboutdata on the panel,andI've viewed data as the oxygenfor machine learning or for AI.It'sthe backbone,it's thefuel,it's the capabilitythat we will all need tocontinue to progress ouroverall attempts at machinelearning and artificial intelligence.Andthere's a lot of data becomingavailable as everything becomescensored,but I think we have tostrike a healthy balance betweenanonymity of data and protectingrights and still making dataavailable so we can see the gainsin health care,in retailand financial services that arepossible if we really have accessto massive broadbaseof nonstructured and structureddata.I think hand inhand with that accessis the trustworthiness of data.Weall hear reports of manipulationthat's now possible in manydifferent fronts.How do youand not just data but then obviouslythe algorithms that operate on thedata given that there's a verytight virtuous circle betweenapplication different algorithms andthe data sets that you're manipulating.Howdo you get visibility and trust onthe lineage of data.Obviouslyblockchain and distributed ledger canbeone of those aspects,butyou can't trust the foundationof the element that you'reworking with or you don't knowwhere it's been and how it'sbeen enhanced in some way.Ithink that starts to minimizeagain the potential for societalgain,but also could takeai and tracks that wewouldn't always understand withthat transparency.Then thethird piece that I think isabsolutely critical that lots ofpeople have been talking about isthe ability set so that morepeople can participate.So wecan democratize data,democritizemachine learning so that theaverage citizen that's not adata scientist that may nothave been trained in verydeep computing capabilitycan still benefit.And Ithink we're seeing a lot oftooling if we can get accessopen and we can get trustworthyand transparency high.Ithinkwe're seeing a lot of toolingto both represent algorithmsand data sets in ways thatare story processing brainwhich is not a logicprocessing brain throughevolution in ways that ourstory processing brain canactually attached to.Andif we do it properlyIthink the ingredient thathumans can continue to rely onis curiosity.Wheregeneral purpose AI stillis a long way to go isnon sequitur linking ofdifferent patterns and thecuriosity to really investigateand interrogate those patterns.Sowith open access,trustworthiness,training,enhancedcuriosity and accessibilityof that data,thenthere will Ithink there will becontinued movement overallfor this fourth industrialrevolution,but ideally inmore positive ways thannegative ways as we getanimationandthe benefits that cancome with that.Possitivethings and negative thingwe're going to face ittogether.We have nochoice.Wehave no choice.Sofrom the datause perspective we'restill in the early stage.Iread a report which sayscallin to maturity86% of the AI technology has not got into maturity.And even by 2022, even 40% would not be mature, get into mainstream market.But 85% of the technology will bring transformational opportunities for different sectors and bring lots of values.So we are still on the way.And I have a question for Mr. Liu, Liu Jiren.And regarding the sectoral changes, once we call it, it's like oxygen, data is like oxygen.And algorithm we have put together will be a new engine.And to make, to upgrade the different industries, different sectors.And but for some sectors, this could be disruptions.So my question for you is about looking at the changes to different industries to society.So what kind of forecast prediction you have?I think these changes will be huge.Let me take health care as example.Health care or medicine in any country in the past decades or even 100 years of history.We intended to give our people better health care, better welfare.But no country has been able to hold up the burden because our payers and service providers are separated, are severed.And patients and medical service providers are severed, are separated.And we lack transparency.We cannot ask a doctor why you give me this injection.Why did you prescribe this medicine?And also in different cities, we also see a disparity in health care in medicine.And therefore the conclusion is that we will see a continued increase in the health care burden in different countries.But they are related to how to optimize our medical care system.Firstly, we see lots of separations, not very good connectivity because we have no good handle on data.And anyone in any city would not be able to get to know which hospital is the right one for you, which one is the most affordable for you.You do not know.You just know which one is the best.So we always go to the best hospitals.But the best one doesn't mean that's the right hospital for you.They may not have the doctors to treat you.And they could be very costly.And in this kind of background, so AI in the future certainly will play its role in medical care.I think there are several forms of the roles to be played by AI.Firstly, we have different objectives.And that is how to beat the medical doctors.But that's not our objective anymore.We want to turn the worst doctor into the best.And we do not want just AI to beat the best doctors.And if we can turn the worst doctors, turn them into best doctors,only by 5% they will give us more benefits to the society.Because most of us, 70 to 80% of us,our diseases are common ailments and chronic diseasesor treatable diseases or curable diseases.But you do not get cured.You do not get the right diagnosis.It doesn't mean that by going to visit the best doctors,you would get treated or cured.That's not the picture today.And also in China, we have the regional disparities at the county level.Many medical doctors even do not hold a medical degree.And we have a farmer-to-farm treatment.We call it bare-footed doctors in China.And so in medical care,AI, if we can turn the worst doctors into the best ones,if we can turn the best doctors into many more,they can turn the methodology into algorithm.Their medical plan can be connected to other doctors.So the prescription can become best practices to go to the most remote areasto treat people there.And I think this is something we need to pay attention to,but we have a long way to go.And from China's perspective in medical care,firstly,our population is beyond their affordability.And because of the diagnosis,it has got a problem.It's not just the drugs are expensive.The most expensive part is the diagnosis.You got the wrong diagnosis,and then you were prescribed the wrong medicines.That makes your treatment very expensive.Secondly,your disease could be treated in a village at the county level,but you took a train to Beijing,and to wait in Beijing for one month or two months.And that made your medical care very expensivebecause there is a lack of trust to hospitals.You have to move to bigger cities to get treatment.Therefore,in medical care,if you do not go beyond medical care,if you just want to adopt some reform measuresto ask the doctor to be cheaper,to ask the hospital to be cheaper,you cannot solve the problembecause our doctors are like artists.Doctors are artists.They are artists.So you have an eye on a doctor,you just want to go to him,but we need artists,but we also need engineers of doctors.Engineers can deal with the most basic problems,and the payment can also make some changes through AI.I think AI can play the biggest roleand there is the biggest possibilityfor AI to play a role in medical care.And for the society,we can feel the benefits very easilyif AI is deployed in medical care.So Mr. Joe,talking about the economic structure changes,what kind of disruptions we will witness in the near future.Mr. Liu talked about medical care.So which sector would be transformed thoroughly by AI?I quite agree with what Mr. Liu said.It's about inclusiveness.I mentioned that AI is to be usedby all of us.And other sectors also have these kind of features.For example,medical doctors,teachers,education.I think that would be a big sector for AI.Between teachers and students,they may give students assignmentsjust like doctors,but we require skillson the part of professors.But communication is one-to-oneon a small scale.And AI,regarding knowledge,per se,regarding the teaching of knowledge.For example,my personal experienceis one teacher teaching a dozen of usand 90% of my homework were correctand 10% were mistaken.But I spent a lot of time on the correct items.But we put students into batchments.We can ensure the most basic quality.But in the future,we will have a tailor-made teaching education.There won't be luxury as well.And tailor-made won't be just for luxuries.And teaching as a process.In the teaching process,you will face with different kinds of mishaps,unexpected events.But a machine can do management on the mishaps.And after they discover the mishaps,the people will step in.And when machines got involvedwhen there are mishaps,they send off a signaland the human beings will step in.And this can happen in many sectors.And AI can discover mishapsin the teaching processfor the kids started to cry.And then the machine will send out a signaland the teacher will come over.And so this kind of thing will happen in many sectors.So I call it major changes.So Joanna.Industry or social order,social structure.Oh wow,thank you for that question.That's one of my favorite questions right now.I think this is really a huge issue.And I want to say in the first place,I don't want to make an open predictionbecause what we do matters.And that's why I travel.It really matters that we get engagedand we use our brainsand we try to build a better future.But specifically,I almost want to take the question back to Professor Liu.When you say make the worst doctorsthe best doctors,that sounds great.I get really excited.That's why I got into AI.But then because I've been learningabout economics,I know that meanseveryone can be a doctor.Does that mean a doctoris no longer a prestigious position?So one of the thingsthat we're worried aboutis artificial intelligenceaffecting inequality.And I know that this questionis very differentin a traditional capitalistversus a traditional communist society.But it seems that social coherencecomes from the abilityof people to move between jobsand to have trustso that there isn't justan upper echelonand a lower echelontotally separate from each other.And that's a continuum.And I'm not sayingthis is not a challenge.It's a question.I sincerely wonderwhat all the consequences arealthough I'm working for them too.But this is a big, big issue.The second part of itis I mentioned beforethe transnational questionwhen there is one big winnerand again China isfamously the exception.That's why I mentioned the firewallthat they have been ableto createa tech sectorhere separatelyhas been really interesting.But in generalit tendsfor the rest of usoutside of Chinawe haveall the big companiesin one countryand they're gettinga lot of wealth.And even in Chinaa lot of wealthis going tothe mirror companieslike Tencent.So how you handlethat in your economyis a big questionespecially withinone countrythe government can workbut outsidewhen it's multi-companiesmultiple countriesthen there'swho is the government then?how do you agreehow to deal with that wealth?And then finallythere was another pieceI wanted to sayof the economic socialconc...Oh,finallythe AI itselfand there's beena little mention of this.It shouldn't be the thingthat hasresponsibility.So againthis goes backto the person thingbut people talkabout makingA.I. a legal personso thatthe driverless carfor examplehas its own liabilities.It's aconvenient thingthere's calleda legal personlike a company.And so whenProfessor Liu saidthere was no precedent.Some peoplesay companiesare the precedentthat they're a formof AI.And whena company is notwhen the peoplewho own the companydon't really carewhat happens to itthis is calleda shell company.And whenwe have shell companiesthen we have corruptionand thatI was very excitedby what you saidabout thelooking for fraud.So you cancreate fraudyou can saybuild a buildingdeliberatelyso thatit goes bankruptso thatyou hide moneycirculation.Ifno oneno humanso justiceworks byapplyingfor examplejailor aloss of faceto a humanthe machinedoesn't careand we cannotmake the machine carein a waythat wecan't un-makebecause webuild the machineit's notlike a personso with uswe are builteven fishare builtto carewhat thesociety thinksso we carethelegal personhoodwith humansand if anythingwe haveover extended italready that'swhy we havethe shell companyso I thinkthat's a veryessential partto theeconomicand social order我覺得這個有意思的就是說我this isvery interestingand wedo seesome manyexciting changesand theseriesofconsequencesminesand godown togetherand that'swhy it'shighly significantto discuss themwe need toget preparedfor welcomethese changesI wantto askMr.Xiaoand Joannahavetalkedso many thingsand Icanknowit'selaborateall of themand thesearegreat problemsandwe needpeoplepeople oftentalk aboutemploymentstructuresand it isa trendthat'sand how couldpeople becomeAI-drivenpeopleyou knowcompaniescouldbecomeAI-drivencompaniesand thepeople mightbefaced outbyAIand howto helpthem tofindthis isone ofthe trendpeopleyouyou havethe worriestoo earlyand even thereplacementtakes placeit takes timeandhistoricallyjobsweredisappearingandbut new jobsshowing upin the pastwe hadno programmerwe haveno productmanagersand whenwe arefacingandthe changewill notbethat suddeneven thoughthe societyisinfast changingbut itisstill aslow penetrationand youknowthatpeople arethespeciesmostor highlyadaptivetothe worldin theearthin thelong termand thethereareso muchsharepopulationmaybe peoplecan takeoffcan haveholidaysone afteranotherand wetaketermiststo goon holidaysand whatdo weneedand ififthereisa AIhelp usto haveour dailylifefamilywe candevelopourinterestwe don'tneed toinvest ourtime in theresourcesto do somemechanicalorreparative work,routine worklikecleanupand cookingand Ithinkthatwe cando morethingsand interestingthingsand thechangesandwhatwe needto haveorwhat kindofthingswe needto learnand youneed tofollowour owninterestto getadaptiveto thesocial changesand it'snotthatso youdo somereparativeworkand it istrueit's verylikelyadaptiveandpreparedI'ddatato companyand thenhelp themmake thesmartchoicepositiondo westill needentrepreneuryou cantellthe data willtell themhow todo thatdata isnotintelligencedata isdataso they'restillgoing backin the1800sif you tolda farmerthe world isgoing to go90%nonagricultureand there'smachines thatwill do everythingthat you do todaybutsomehowwe'regoing tostill haveglobalunemploymentunder 10%I thinkvery few peoplewould haverushed forwardand saidfantasticI can'tcan'tno-showeconomic changesare notsmoothlytaken upand what can we dothis timeto get in front of itwhat can we doonskill developmentand rapid retrainingbecause we willlose jobsthosereparative jobsthat theindustrial revolutioncreatedwilllikely go awayand we needto helpourpopulation becomewe needthe rightget intonew areasthat theywouldn't haveimagined beforebutI thinkfrom a societyperspectivewe have toshift resourcesto thatI don't thinkthat10 years agowe would haveimagined thatthere would bebillions of applicationson theitunesandroidstoresthat peoplearemaking someeconomic livingfrombutthatstill requiredagainthe oxygenfor thatsoI'll go backto my core pointonhow do wemake dataas accessibleas possibleand I'llground it with an examplethere's a group calleda global emancipationnetworkthat's workingon adifficult problemhuman traffickinggloballyit would have been impossibleto have solved15 and 20 yearsI think for a numberof reasonsone of whichis data was notvery open15 and 20 yearsdatabut if you cantap intothe hundreds orthousandsof sourcesacross travelindustryretailindustrydifferentlocalagenciespolice agenciesand otherspatterns canemergevery quicklythat showwho the victimsmight beand whothe perpetratorsmight beso you canactually beproactivein tryingtoanonymityneedswith thataccess of databutI thinkif we look at the pastand we're willingto lean forwardAIand MLis cominghow do weparticipatein itthen let'sfocus back onwhat do wehave to doto make surethat the broadestnumber of peoplecan benefitthroughthrough open datathroughtransparencyand trustworthinessand throughthethe dividethat I think iscausing a lot ofnegative ramificationsaround the globetodayas people getnervous and tryand do whatwe can never dowhich is tryand go backwardyou can'teven stand stillthe world is movingso how do youmovewith that worldgiven thatit's continuously evolvingwe have no choicewe have no choice刘先生您觉得如果Mr.you know thatsowhat do youthinkwhat should youteach to yourkeyswhat willbe still beused in thenext 30 to 40 yearswhat are the skillsand thecapabilitieswe need to graspI thinkanythingemotionalemotional exchangesI believesuch kind ofmajoror skillsare highlysecuredfor exampleinterviewlike thisdialogueinterviewdialoguethe moderatorsifhighlylogicand highlycomputedyou knowthat'syou can be replacedby the algorithmand in the futurethat's a technologyin the futurecan havea verysimilar expressionlike peopleand onlyvery deepemotionand youcan havedifferentfeelingwhen youtalk to himor talk tothis personyou canmakeit'sit's difficultto make friendswith the machinebecause the feelingit takes a long timeit's notthat you can'tmake friendswith the machineif you lookat these moviesand filmsand peoplecan alsofeel in lovewith the robberssometimessoin natureat emotional levelthecomputationis based onlogicsIthe otherviewI fully supportis like thisin factwhen a portionof jobs disappearof coursethe new jobsare createdin the pastwe don'thave so manydata analystswedidn'thave so manypeopleworking asprogrammersand in thefutureon theplatformof AIand wewill call itany kindof industrymay use itany skillsmay use itwhich is availablein anycompaniesin the pastwe are a manufacturerwe have loadsofworkersin the futurewe will havelovedesignersengineersdataanalyststhey willbecomenewprofessionsto meyou needtothink aboutyourselfit's becauseof youyoudidn'tgetpreparedfor the changesso I hopenext yearI willstill be herewill notbe replacedI stillhavetwo to threeminutesand thisis avery very bigquestionsthere'sso manydimensionsof itand wecan onlytouch theservice of itand whatis the mostthingwhichmakesyou worrymostwhatcan'tthinkyou needto getpreparedyou needto getpreparedfor yourselffor yourfor yourfor yourfor yourfor yourfor yourfor yourfor yourfor yourfor yourfor yourfor your20yearsbut youknowthetaster bookwere made10 or 20 yearsagoso therea strongconflict thereI thinkeducationin Chinato abrother sensewe needto havea regulatoryand thelegalframeworkcoinhas twositesyoushouldbefearofI watched a movieit was about ajoanand uavwhich canbecontrolledtokilling peopleand youcan'timaginethatwe needtogetpreparedand ifabusedinfinancialsacredit's alsoscarynotwhatspecificallyyoulearnit willprobably notbe usefulby the time yougraduatebut to learnhow tolearnand tolearna groupof peopleto makethe contextsouniversityis moreaboutconnectingthe networksand Ithinkthis goesback tothe societyfor the reasonsI gave beforesoI guessI worrylet me tell youone more storyabout the jobswe have only30 second leftI bet youyour storyis fantasticwe'll read you articlesbecauseI'llrepeat what you saidI thinkyou're eithergrowing or dyingsowhat can you doto beexcited about changealwaysa constantchangeand we're justseeing itincreasebecause theevolutionsin the digitalworldare notgated byDNAin genomesthe cyclesaremuch fastersoI thinkcuriositycreativityinterpersonalrelationshipslearnhow tolearnbut underneath thatit reallywe havethank youthat's a very greatconclusionyou're eithergrowing or dying非常感謝各位嘉賓今天在這裡給我們分享他們的觀點確實是thank youvery muchfor yoursharingand this isa big waveregardlessof yourpersonalviewand thepeople sayit's alsoa rollercoasterwhat should wedothank youbeing in the bottomthank you