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Trustisatrickybusiness.Ontheonehand,it'
sanecessarycondition1manyworthwhilethings:
childcare,friendships,etc.Ontheotherhand,puttingyour2,inthewrongplaceoftencarriesahigh3.
4,whydowetrustatall?
Well,becauseitfeelsgood.5peopleplacetheirtrustinanindividualoraninstitution,theirbrainsreleaseoxytocin,ahormonethat6pleasurablefeelingsandtriggerstheherdinginstructthatpromptshumansto7withoneanother.Scientistshavefoundthatexposure8thishormoneputsusinatrusting9:
InaSwissstudy,researcherssprayedoxytocinintothenosesofhalfthesubjects;
thosesubjectswerereadytolendsignificantlyhigheramountsofmoneytostrangersthanweretheir10whoinhaledsomethingelse.
11forus,wealsohaveasixthsensefordishonestythatmay12us.ACanadianstudyfoundthatchildrenasyoungas14monthscandifferentiate13acrediblepersonandadishonestone.Sixtytoddlerswereeach14toanadulttesterholdingaplasticcontainer.Thetesterwouldask,“What’sinhere?
”beforelookingintothecontainer,smiling,andexclaiming,“Wow!
”Eachsubjectwastheninvitedtolook15.Halfofthemfoundatoy;
theotherhalf16thecontainerwasempty-andrealizedthetesterhad17them.
Amongthechildrenwhohadnotbeentricked,themajoritywere18tocooperatewiththetesterinlearninganewskill,demonstratingthattheytrustedhisleadership.19,onlyfiveofthe30childrenpairedwiththe“20”testerparticipatedinafollow-upactivity.
SectionIIReadingComprehension
PartA
Readthefollowingfourtexts.AnswerthequestionsbeloweachtextbychoosingA,B,CorD.MarkyouranswersontheANSWERSHEET.(40points)
Text1
Amongtheannoyingchallengesfacingthemiddleclassisonethatwillprobablygounmentionedinthenextpresidentialcampaign:
Whathappenswhentherobotscomefortheirjobs?
Don'
tdismissthatpossibilityentirely.AbouthalfofU.S.jobsareathighriskofbeingautomated,accordingtoaUniversityofOxfordstudy,withthemiddleclassdisproportionatelysqueezed.Lower-incomejobslikegardeningordaycaredon'
tappealtorobots.Butmanymiddle-classoccupations-trucking,financialadvice,softwareengineering—havearousedtheirinterest,orsoonwill.Therichowntherobots,sotheywillbefine.
Thisisn'
ttobealarmist.Optimistspointoutthattechnologicalupheavalhasbenefitedworkersinthepast.TheIndustrialRevolutiondidn'
tgosowellforLudditeswhosejobsweredisplacedbymechanizedlooms,butiteventuallyraisedlivingstandardsandcreatedmorejobsthanitdestroyed.Likewise,automationshouldeventuallyboostproductivity,stimulatedemandbydrivingdownprices,andfreeworkersfromhard,boringwork.Butinthemediumterm,middle-classworkersmayneedalotofhelpadjusting.
Thefirststep,asErikBrynjolfssonandAndrewMcAfeeargueinTheSecondMachineAge,shouldberethinkingeducationandjobtraining.Curriculums—fromgrammarschooltocollege-shouldevolvetofocuslessonmemorizingfactsandmoreoncreativityandcomplexcommunication.Vocationalschoolsshoulddoabetterjoboffosteringproblem-solvingskillsandhelpingstudentsworkalongsiderobots.Onlineeducationcansupplementthetraditionalkind.Itcouldmakeextratrainingandinstructionaffordable.Professionalstryingtoacquirenewskillswillbeabletodosowithoutgoingintodebt.
ThechallengeofcopingwithautomationunderlinestheneedfortheU.S.toreviveitsfadingbusinessdynamism:
Startingnewcompaniesmustbemadeeasier.Inpreviouserasofdrastictechnologicalchange,entrepreneurssmoothedthetransitionbydreamingupwaystocombinelaborandmachines.Thebestusesof3Dprintersandvirtualrealityhaven'
tbeeninventedyet.TheU.S.needsthenewcompaniesthatwillinventthem.
Finally,becauseautomationthreatenstowidenthegapbetweencapitalincomeandlaborincome,taxesandthesafetynetwillhavetoberethought.Taxesonlow-wagelaborneedtobecut,andwagesubsidiessuchastheearnedincometaxcreditshouldbeexpanded:
Thiswouldboostincomes,encouragework,rewardcompaniesforjobcreation,andreduceinequality.
Technologywillimprovesocietyinwaysbigandsmalloverthenextfewyears,yetthiswillbelittlecomforttothosewhofindtheirlivesandcareersupendedbyautomation.
Destroyingthemachinesthatarecomingforourjobswouldbenuts.Butpoliciestohelpworkersadaptwillbeindispensable.
Text2
AnewsurveybyHarvardUniversityfindsmorethantwo-thirdsofyoungAmericansdisapproveofPresidentTrump’suseofTwitter.TheimplicationisthatMillennialsprefernewsfromtheWhiteHousetobefilteredthroughothersource,Notapresident’ssocialmediaplatform.
MostAmericansrelyonsocialmediatocheckdailyheadlines.Yetasdistrusthasrisentowardallmedia,peoplemaybestartingtobeefuptheirmedialiteracyskills.Suchatrendisbadlyneeded.Duringthe2016presidentialcampaign,nearlyaquarterofwebcontentsharedbyTwitterusersinthepoliticallycriticalstateofMichiganwasfakenews,accordingtotheUniversityofOxford.AndasurveyconductedforBuzzFeedNewsfound44percentofFacebookusersrarelyornevertrustnewsfromthemediagiant.
Youngpeoplewhoaredigitalnativesareindeedbecomingmoreskillfulatseparatingfactfromfictionincyberspace.AKnightFoundationfocus-groupsurveyofyoungpeoplebetweenages14and24foundtheyuse“distributedtrust”toverifystories.Theycross-checksourcesandprefernewsfromdifferentperspectives—especiallythosethatareopenaboutanybias.“Manyyoungpeopleassumeagreatdealofpersonalresponsibilityforeducatingthemselvesandactivelyseekingoutopposingviewpoints,”thesurveyconcluded.
Suchactiveresearchcanhaveanothereffect.A2014surveyconductedinAustralia,Britain,andtheUnitedStatesbytheUniversityofWisconsin-Madisonfoundthatyoungpeople’srelianceonsocialmedialedtogreaterpoliticalengagement.
Socialmediaallowsuserstoexperiencenewseventsmoreintimatelyandimmediatelywhilealsopermittingthemtore-sharenewsasaprojectionoftheirvaluesandinterests.Thisforcesuserstobemoreconsciousoftheirroleinpassingalonginformation.AsurveybyBarnaresearchgroupfoundthetopreasongivenbyAmericansforthefakenewsphenomenonis“readererror,”moresothanmade-upstoriesorfactualmistakesinreporting.Aboutathirdsaytheproblemoffakenewsliesin“misinterpretationorexaggerationofactualnews”viasocialmedia.Inotherwords,thechoicetosharenewsonsocialmediamaybetheheartoftheissue.“Thisindicatesthereisarealpersonalresponsibilityincounteractingthisproblem,”saysRoxanneStone,editorinchiefatBarnaGroup.
Sowhenyoungpeoplearecriticalofanover-tweetingpresident,theyrevealamentaldisciplineinthinkingskills–andintheirchoicesonwhentoshareonsocialmedia.
Text3
Anyfair-mindedassessmentofthedangersofthedealbetweenBritain'
sNationalHealthService(NHS)andDeepMindmuststartbyacknowledgingthatbothsidesmeanwell.DeepMindisoneoftheleadingartificialintelligence(AI)companiesintheworld.Thepotentialofthisworkappliedtohealthcareisverygreat,butitcouldalsoleadtofurtherconcentrationofpowerinthetechgiants.ItIsagainstthatbackgroundthattheinformationcommissioner,ElizabethDenham,hasissuedherdamningverdictagainsttheRoyalFreehospitaltrustundertheNHS,whichhandedovertoDeepMindtherecordsof1.6millionpatientsIn2015onthebasisofavagueagreementwhichtookfartoolittleaccountofthepatients'
rightsandtheirexpectationsofprivacy.
DeepMindhasalmostapologized.TheNHStrusthasmendeditsways.Furtherarrangements-andtheremaybemany-betweentheNHSandDeepMindwillbecarefullyscrutinisedtoensurethatallnecessarypermissionshavebeenaskedofpatientsandallunnecessarydatahasbeencleaned.Therearelessonsaboutinformedpatientconsenttolearn.Butprivacyisnottheonlyangleinthiscaseandnoteventhemostimportant.MsDenhamchosetoconcentratetheblameontheNHStrust,sinceunderexistinglawit“controlled”thedataandDeepMindmerely“processed"
it.Butthisdistinctionmissesthepointthatitisprocessingandaggregation,notthemerepossessionofbits,thatgivesthedatavalue.
Thegreatquestioniswhoshouldbenefitfromtheanalysisofallthedatathatourlivesnowgenerate.Privacylawbuildsontheconceptofdamagetoanindividualfromidentifiableknowledgeaboutthem.Thatmissesthewaythesurveillanceeconomyworks.Thedataofanindividualtheregainsitsvalueonlywhenitiscomparedwiththedataofcountlessmillionsmore.
Theuseofprivacylawtocurbthetechgiantsinthisinstancefeelsslightlymaladapted.Thispracticedoesnotaddresstherealworry.ItisnotenoughtosaythatthealgorithmsDeepMinddevelopswillbenefitpatientsandsavelives.Whatmattersisthattheywillbelongtoaprivatemonopolywhichdevelopedthemusingpublicresources.Ifsoftwarepromisestosavelivesonthescalethatdugsnowcan,bigdatamaybeexpectedtobehaveasabigpharmhasdone.Wearestillatthebeginningofthisrevolutionandsmallchoicesnowmayturnouttohavegiganticconsequenceslater.Alongstrugglewillbeneededtoavoidafutureofdigitalfeudalism.MsDenham'
sreport