英语一阅读.docx

英语一阅读.docx

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英语一阅读

2018英语一阅读（总8页）

Text1

Amongtheannoyingchallengesfacingthemiddleclassisonethatwillprobablygounmentionedinthenextpresidentialcampaign:

Whathappenswhentherobotscomefortheirjobs

Don'tdismissthatpossibilityentirely.Abouthalfof.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.

Thechallengeofcopingwithautomationunderlinestheneedforthe.toreviveitsfadingbusinessdynamism:

Startingnewcompaniesmustbemadeeasier.Inpreviouserasofdrastictechnologicalchange,entrepreneurssmoothedthetransitionbydreamingupwaystocombinelaborandmachines.Thebestusesof3Dprintersandvirtualrealityhaven'tbeeninventedyet.The.needsthenewcompaniesthatwillinventthem.

Finally,becauseautomationthreatenstowidenthegapbetweencapitalincomeandlaborincome,taxesandthesafetynetwillhavetoberethought.Taxesonlow-wagelaborneedtobecut,andwagesubsidiessuchastheearnedincometaxcreditshouldbeexpanded:

Thiswouldboostincomes,encouragework,rewardcompaniesforjobcreation,andreduceinequality.Technologywillimprovesocietyinwaysbigandsmalloverthenextfewyears,yetthiswillbelittlecomforttothosewhofindtheirlivesandcareersupendedbyautomation.

Destroyingthemachinesthatarecomingforourjobswouldbenuts.Butpoliciestohelpworkersadaptwillbeindispensable.

willbemostthreatenedbyautomation

[A]Leadingpoliticians.

[B]Low-wagelaborers.

[C]Robotowners.

[D]Middle-classworkers.

22.Whichofthefollowingbestrepresenttheauthor’sview?

[A]Worriesaboutautomationareinfactgroundless.

[B]Optimists'opinionsonnewtechfindlittlesupport.

[C]Issuesarisingfromautomationneedtobetackled

[D]Negativeconsequencesofnewtechcanbeavoided

intheageofautomationshouldputmoreemphasison

[A]creativepotential.

[B]job-huntingskills.

[C]individualneeds.

[D]cooperativespirit.

authorsuggeststhattaxpoliciesbeaimedat

[A]encouragingthedevelopmentofautomation.

[B]increasingthereturnoncapitalinvestment.

[C]easingthehostilitybetweenrichandpoor.

[D]preventingtheincomegapfromwidening.

thistext,theauthorpresentsaproblemwith

[A]opposingviewsonit.

[B]possiblesolutionstoit.

[C]itsalarmingimpacts.

[D]itsmajorvariations.

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.

26.AccordingtotheParagraphs1and2,manyyoungAmericanscastdoubtson

[A]thejustificationofthenews-filteringpractice.

[B]people’spreferenceforsocialmediaplatforms.

[C]theadministrationsabilitytohandleinformation.

[D]socialmediawasareliablesourceofnews.

27.Thephrase―beerup‖（Line2,Para.2）isclosestinmeaningto

[A]sharpen

[B]define

[C]boast

[D]share

28.Accordingtotheknightfoundationsurvey,youngpeople

[A]tendtovoicetheiropinionsincyberspace.

[B]verifynewsbyreferringtodiverseresources.

[C]havesstrongsenseofresponsibility.

[D]liketoexchangeviewson―distributedtrust‖

29.TheBarnasurveyfoundthatamaincauseforthefakenewsproblemis

[A]readersoutdatedvalues.

[B]journalists’biasedreporting

[C]readers’misinterpretation

[D]journalists’made-upstories.

30.Whichofthefollowingwouldbethebesttitleforthetext

[A]ARiseinCriticalSkillsforSharingNewsOnline

[B]ACounteractionAgainsttheOver-tweetingTrend

[C]TheAccumulationofMutualTrustonSocialMedia.

[D]ThePlatformsforProjectionofPersonalInterests.

Text3

Anyfair-mindedassessmentofthedangersofthedealbetweenBritain'sNationalHealthService（NHS）andDeepMindmuststartbyacknowledgingthatbothsidesmeanwell.DeepMindisoneoftheleadingartificialintelligence（AI）companiesintheworld.Thepotentialofthisworkappliedtohealthcareisverygreat,butitcouldalsoleadtofurtherconcentrationofpowerinthetechgiants.ItIsagainstthatbackgroundthattheinformationcommissioner,ElizabethDenham,hasissuedherdamningverdictagainsttheRoyalFreehospitaltrustundertheNHS,whichhandedovertoDeepMindtherecordsofmillionpatientsIn2015onthebasisofavagueagreementwhichtookfartoolittleaccountofthepatients'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.Wearestillatthebeginningofthisrevolutionandsmallchoicesnowmayturnouttohavegigantic