2026年高考英语终极冲刺：压轴题01 阅读理解CD篇（人工智能类）（解析版）

3/17压轴题02阅读理解C、D篇命题预测分析近几年高考英语阅读理解C、D篇可知，人工智能类说明文是高频压轴题材，选材贴合时代热点，语篇多来自英美科技媒体、科研报告、高校研究发布，主题聚焦AI技术原理、应用场景、伦理争议、社会影响、未来发展等。文章逻辑性强、长难句多、专业术语常见，侧重考查信息定位、逻辑推理、主旨概括等高阶能力。2026年高考仍会将人工智能类作为C、D篇核心考查方向，命题更关注AI与教育、医疗、生活、科研、环保、版权等领域的结合，强调辩证思考与实际应用。高频考法推理判断题标题归纳题细节理解题词义猜测题主旨大意题6.观点态度题人工智能类说明文基本规律及解题要领高考人工智能类阅读通常无标题，结构稳定，逻辑清晰，一般分为四部分：首段：开门见山引出AI核心话题——新技术、新模型、新争议、新研究。背景：介绍AI发展现状、传统技术局限、现实需求或争议起源。主干：详细说明AI工作原理、功能特点、实验数据、应用场景、优势与问题。结尾：总结AI价值、未来前景、现存挑战、专家观点或社会反思。二、人工智能类说明文的解题技巧1.抓结构，快速把握主旨用略读法浏览首尾段+各段首尾句，圈出AI相关核心词（model/algorithm/LLM/chatbot/robot等）。人工智能类文章常见说明思路：技术介绍型：原理→特点→优势→应用→局限社会争议型：现象→正方观点→反方观点→作者态度研究发现型：实验目的→过程→数据→结论→展望2.定位标志词，精准破解细节与推理题干关键词：人名、机构、专业术语、数字、时间、转折词。长难句处理：先找主句谓语，剥离定语、状语、插入语，抓核心意思。答案原则：原文同义替换/合理概括，不主观臆断。3.重点关注观点态度与引语文中researchers/experts/developers/authorities所说的话，常是观点题、推理题题眼。把握情感词：positive/negative/concerned/skeptical/optimistic/cautious。4.紧盯转折逻辑，锁定核心信息AI类文章高频转折词：however/but/yet/while/although/ontheotherhand转折后往往是作者真正观点、核心问题、重要结论，是命题重灾区。5.熟悉选项陷阱，快速排除干扰正确选项：原文信息同义改写、合理归纳。干扰项：张冠李戴（把A的功能安到B）偷梁换柱（改变程度、范围、对象）无中生有（原文未提及）以偏概全（只讲局部当主旨）6.标题归纳技巧（AI类专用）必须包含AI/technology/model等核心概念。范围适中，不夸大、不缩小。常见格式：AI+功能/争议/未来/应用。02人工智能类1.（2026·青岛·一模）Artificialintelligence(AI)researchershavelongdreamedoftoolstosuperchargescience-askingnovelquestions,designingandrunningexperiments.Recently,largelanguagemodels(LLMs)havemadediscoveriesthatsomeAIdevelopersclaimhaveinchedusclosertothatfuture.ButhowdoyoutestwhetheranAImodelcantrulydoscience?Foranswers,researchersturntobenchmarks(基准):standardizedsetsofquestionsortasksthathelpmeasureanAI’sefficiencyandreliabilityandcompareitagainstothermodels.Butthecomplexityofsciencemakesassessingtheiraptitudeespeciallychallenging.AsHaoPeng,acomputerscientistattheUniversityofIllinoisUrbana-Champaign,putsit:“Modelshaveallthisknowledge.Dotheyknowhowtouseit?”Dozensofnewscience-focusedbenchmarkshaveemergedoverthepastyeartoanswerthatquestion,butscientistshaveyettosettleonasinglebestapproach.Oneofthemostpopular,publishedinNature,isHumanity’sLastExam(HLE).Ituses2500questionsdrawnfrom“thefrontierofhumanknowledge”toputLLMsthroughtheirpaces.One,forexample,askshowmanytypesofsensoryreceptorsthehumanskincontains.“Wewantedadiversedatasetthatonlyexpertswhohavebeenworkingonafieldforalongtimecananswer,”saysLongPhan,aresearchengineerwiththeHLE’sdeveloper.SincetheHLEfirstappearedasapreprintinJanuary2025,thebenchmarkhasbecomeanimportantprovinggroundforLLMsandHLEscoresarenowacommontalkingpointforAIcompaniesseekingtohighlightthecapabilitiesoftheirproducts.AttheHLE’slaunch,theleadingdeveloperOpenAI’sAImodelwonthebestscoreatamere8.3%.Earlierthismonth,Googleclaimedthatitslatestreasoningmodelforscience,calledGemini3DeepThink,hadachievedanewrecordHLEscoreof48.4%.ButsomescientistsarguethatmanyoftheHLE’squestionstestforlittle-knownorevenuselessknowledge,ratherthananabilitytodomeaningfulresearch.ANatureeditorialaccompanyingtheHLE’spublicationalsoraisedthisissue:“Wethinkthatmorescientistsshouldbeasking:WhatwouldittaketodevelopanAIbenchmarkthattrulymeasuresexpert-levelthinking?”1.Whatdoestheunderlinedword“aptitude”inparagraph2mean?A.Knowledge. B.Performance. C.Intelligence. D.Progress.2.WhatdoesLongPhanstressaboutHLE?A.Itstopicdiversity. B.Experts’involvementinit.C.Theexpertiseofitsdataset. D.Itsdata-backedpopularity.3.Whatisparagraph4mainlyabout?A.HLE’sroleasakeyAItest. B.Companies’useofHLE.C.HLEscoresofleadingAImodels. D.TheprocessofHLE’slaunch.4.Bysharingitsview,theNatureeditorialaimedto________.A.backthecurrenttesting B.expressconcernoverHLEC.proposeaworkablesolution D.predictfutureAIbenchmarks【答案】1.B2.C3.A4.B【解析】【导语】本文是一篇议论文。文章围绕如何检验一个人工智能模型是否真的能够进行科学研究展开，其中人类终极考试（HLE）作为核心AI测试平台备受关注，文章介绍了它的设计定位和作用；最后文章指出，一些科学家和《自然》社论对HLE提出质疑，引发了学界对“如何开发真正能测量专家级科研思维的AI基准”的思考。【1题详解】词句猜测题。根据划线词前文“Foranswers,researchersturntobenchmarks(基准):standardizedsetsofquestionsortasksthathelpmeasureanAI’sefficiencyandreliabilityandcompareitagainstothermodels.(为寻找答案，研究人员转向了基准测试：一系列标准化的问题或任务，用于衡量人工智能的效率和可靠性，并将其与其他模型进行比较)”和后文“AsHaoPeng,acomputerscientistattheUniversityofIllinoisUrbana-Champaign,putsit:“Modelshaveallthisknowledge.Dotheyknowhowtouseit?”(正如伊利诺伊大学厄巴纳-香槟分校的计算机科学家HaoPeng所说：“模型拥有所有这些知识。但它们是否知道如何运用这些知识呢？”)”可知，前文提出核心问题：如何测试AI是否真的能开展科学研究，后文补充“模型已经拥有大量知识，问题是它们会不会运用知识”，所以此处指科学的复杂性让评估AI做科学的能力/天资格外困难，aptitude意为“能力”，故选B。【2题详解】细节理解题。根据第三段中““Wewantedadiversedatasetthatonlyexpertswhohavebeenworkingonafieldforalongtimecananswer,”saysLongPhan,aresearchengineerwiththeHLE’sdeveloper.(“我们希望获得一个内容多样、只有长期深耕某一领域的专家才能解答的数据集，”HLE的开发者之一LongPhan说道)”可知，他强调HLE的数据集只有深耕领域的资深专家才能作答，核心是突出数据集的专业性，故选C。【3题详解】主旨大意题。根据第四段“SincetheHLEfirstappearedasapreprintinJanuary2025,thebenchmarkhasbecomeanimportantprovinggroundforLLMsandHLEscoresarenowacommontalkingpointforAIcompaniesseekingtohighlightthecapabilitiesoftheirproducts.AttheHLE’slaunch,theleadingdeveloperOpenAI’sAImodelwonthebestscoreatamere8.3%.Earlierthismonth,Googleclaimedthatitslatestreasoningmodelforscience,calledGemini3DeepThink,hadachievedanewrecordHLEscoreof48.4%.(自2025年1月HLE以预印本形式首次亮相以来，该基准测试已成为大型语言模型的重要验证平台，而HLE的得分如今已成为AI公司展示其产品能力时的常见话题。在HLE的发布仪式上，领先的开发者OpenAI的模型以仅8.3%的得分赢得了最佳成绩。本月早些时候，谷歌宣称其最新的科学推理模型——名为“Geminis3深度思考”的模型，已取得了新的HLE成绩记录——48.4%)”可知，本段主要介绍HLE问世后已经成为大语言模型的重要试验场，HLE分数是AI公司展示产品能力的通用依据，后文的OpenAI、Google分数例子都是细节支撑。因此本段主要介绍HLE作为核心AI测试平台的作用，故选A。【4题详解】推理判断题。根据最后一段“ButsomescientistsarguethatmanyoftheHLE’squestionstestforlittle-knownorevenuselessknowledge,ratherthananabilitytodomeaningfulresearch.ANatureeditorialaccompanyingtheHLE’spublicationalsoraisedthisissue:“Wethinkthatmorescientistsshouldbeasking:WhatwouldittaketodevelopanAIbenchmarkthattrulymeasuresexpert-levelthinking?”(但一些科学家认为，HLE的许多问题所测试的更多是鲜为人知甚至毫无用处的知识，而非进行有意义研究的能力。与HLE发布相关的《自然》杂志的一篇社论也提出了这一问题：“我们认为，更多的科学家应该思考：要开发一个真正能衡量专家思维水平的AI基准，需要具备哪些条件？”)”可知，科学家批评HLE多考察偏门无用知识，而非真正的研究能力，《自然》社论也认同这个问题，呼吁学界思考“如何开发真正能测量专家级思维的AI基准”，因此社论的目的是对HLE现存的问题表达担忧，故选B。2.（2026·聊城·一模）Intheageoflargelanguagemodels(LLMs)andgenerativeAI,wearewitnessinganunprecedentedtransformationinhowknowledgeisproduced,spreadandconsumed.LLMs,wearetold,makeusmoreefficient,simplifycomplexwork,automateboringtasksandallowustofocusonwhatmatters.Butaswefeelsurprisedattheircapabilities,apressingconcernemerges:Arethesemodelsgenuinelyboostingefficiency,oraretheyerodingourcapacityforindependentthought,judgmentandcriticalreflection?Efficiencyisnotaneutralterm.ThecurrentnarrativearoundgenerativeAItreatsefficiencyasprogress.Itsuggeststhatthefastersomethingisdone,thebetter.Butfasterisnotalwaysbetter.Andnoteverythingthatcanbeautomatedshouldbe.ThepopularbeliefisthatLLMsallowhumanstoassignrepetitiveworktomachinesandreservetheirenergyformorereflectivetasks,buttheoppositeisoftentrue.Asthemoreintellectuallabor—writing,summarizinganddecision-making,forexample—ishandedovertoAI,thelesswewillengagewithitourselves.Insteadofreservingourthoughtfulnessforhighertasks,wewillincreasinglylosetheopportunities,andperhapseventheability,tothinkcritically.Sowhatdowereallymeanby“efficiency”?Ifitmeansshorteningthetimeittakestowriteareport,perhapswehavesucceeded.Butifitmeansreplacingtheintellectualeffortthatcreatesdepth,coherenceandreflection,thenit’snotagain;it’saloss.ThemomentweacceptLLMsasthoughtsubstitutes,ratherthanthoughtaids,webegintoworsentheveryconditionsunderwhichhumanreasoningthrives:questioning,dialogue,uncertaintyandcontradiction.ThereisnoturningbackthepresenceofLLMsinourlives.Butwecanchoosehowtolivewiththem.Thequestionisnotwhethertheywillthinkforus,butwhetherwewillletthemdefinewhatitmeanstothinkatall.Efficiency,inthetruesense,shouldnotbeaboutdoingmorewithlessthought.Itshouldbeaboutdoingbetter,withdeeperattention,strongerethicsandsustainedhumaninsight.5.Whatdoestheunderlinedword“eroding”inparagraph2mean?A.Changing. B.Improving. C.Destroying. D.Expanding.6.WhatdoLLMsleadto,accordingtoparagraph4?A.Wegetmorereflectivelabor. B.Wedoindependentthinkingless.C.Weengageinmorerepetitivetasks. D.Wereduceourworkefficiencyindeed.7.WhatdoestheauthoradvocateaboutourusingLLMs?A.Puttingefficiencyfirst. B.Reducingintellectualeffort.C.Achievingmorewithlesstime. D.Increasinghumanengagement.8.Whatistheauthor’spurposeinwritingthetext?A.TodescribethefastdevelopmentofLLMs.B.ToreflectonthenegativeeffectsofLLMs.C.Toquestionthenecessityofpursuingefficiency.D.Tochallengethetraditionaldefinitionofefficiency.【答案】5.C6.B7.D8.B【解析】【导语】本文是一篇说明文。主要介绍大型语言模型在带来效率提升的同时，可能削弱人们独立思考与批判性思维能力，并反思其真正价值。【5题详解】词句猜测题。根据第二段中的“Butaswefeelsurprisedattheircapabilities,apressingconcernemerges:Arethesemodelsgenuinelyboostingefficiency,oraretheyerodingourcapacityforindependentthought,judgmentandcriticalreflection?(但当我们对它们的能力感到惊讶时，一个迫切的担忧出现了：这些模型是真正提高了效率，还是eroding我们独立思考、判断和批判性反思的能力？)”可知，句中使用了选择对比结构“genuinelyboostingefficiency”与“erodingourcapacity”形成反义关系，boosting表示“提升、增强”，与之相反的eroding应表示“逐渐损害、破坏、削弱”。故选C项。【6题详解】细节理解题。根据第四段中的“Asthemoreintellectuallabor—writing,summarizinganddecision-making,forexample—ishandedovertoAI,thelesswewillengagewithitourselves.Insteadofreservingourthoughtfulnessforhighertasks,wewillincreasinglylosetheopportunities,andperhapseventheability,tothinkcritically.(随着更多的智力劳动——例如写作、总结和决策——被交给人工智能，我们自己参与其中的程度就会越低。我们不会把思考留给更高层次的任务，反而会越来越失去批判性思考的机会，甚至可能失去这种能力。)”可知，大型语言模型会导致人们独立思考减少。故选B项。【7题详解】推理判断题。根据最后一段中的“Efficiency,inthetruesense,shouldnotbeaboutdoingmorewithlessthought.Itshouldbeaboutdoingbetter,withdeeperattention,strongerethicsandsustainedhumaninsight.(真正意义上的效率，不应该是用更少的思考做更多的事，而应该是用更深入的关注、更强的道德感和持续的人类洞察力把事情做得更好)”可知，作者主张使用大型语言模型时增加人类参与。故选D项。【8题详解】推理判断题。通读全文，尤其是第二段中的“Butaswefeelsurprisedattheircapabilities,apressingconcernemerges:Arethesemodelsgenuinelyboostingefficiency,oraretheyerodingourcapacityforindependentthought,judgmentandcriticalreflection?(但当我们对它们的能力感到惊讶时，一个迫切的担忧出现了：这些模型是真正提高了效率，还是正在削弱我们独立思考、判断和批判性反思的能力？)”可知，作者写作目的是反思大型语言模型带来的负面影响。故选B项。3.（2026·广州·一模）SurveydatashowsthatmostfreshmenregularlyusegenerativeAI,oftentreatingitas“anintellectualpartner”,ProfessorJohnHampsonreportedatafaculty(全体教师)meetinginEliteTechnologyUniversity(ETU).Studentsmostcommonlyuseittounderstanddifficultconcepts,search,generatestudymaterials,andeditwriting.Interestingly,thelowestreporteduseisforgeneratingtext.Meanwhile,studentsareusingfacultyofficehoursandthespeakingandwritingcentersless.Inlastyear’scomputersciencecourses,scoresonproblemsetsincreased,yetexamscoresdeclined.“Thisisconcerning,”notedHampson.“IftheywereusingAIasastudypal,theyweren’tabsorbingasmuchastheymightthink.”StudentswantclearerAIpolicies,andHampsonadvisedfacultytocarefullyconsiderandsharewhatlevelofusetheypermit,thereasoningbehindit,howtociteuseofAI,andexamplesofwhat’spermissible.Healsoencourageddepartment-widediscussionstobestpreparestudentsforaworkplacewheretheywillneedtoknowhowtowriteorcodewithitsassistance.“Ialsobelievethatstudentsneedtolearntowriteandcodeunaided,todevelopcriticalthinkingskills,theiragencyascitizens,andalsomeaning—makingtheideasthathelpthemunderstandtheirownlives,”headded.SomeprofessorsexpressedconcernsabouthowAIuseisimpactingstudents’mentalhealthandlearning.ProfessorGeorgeWilsonnotedthatstudentsareoftenhighlycompetitive,and“it’simportanttocreaterulessothatcompetitionleadstohealthybehaviorsthatmakethembettereducatedpeople.”Whilesomesuggestedmoreone-on-onetimewithstudents,othersnotedthatbudgetrestrictionswouldmakethatdifficult.ProfessorPolyBurnettobservedthatlectureattendanceisalsodown.Sheurgedfacultytomakelecturessomethingstudentsgenuinelywanttoattend.Shealsonotedthatmanyteachersaremakingsmallchanges,inhopesofcontinuingteachingasthey’vepreviouslytaught.“Weactuallyhavetoseethislessasaproblemandmoreasanopportunity,”Burnettsuggested.“HowcanETUleadinrethinkinghowweteach,howwelearn...andhaveourstudentsbebenefitingandbeingattheleadingedgeofthat?”9.Whatdoestheauthorimplyaboutthesurveyfindingsbyusing“interestingly”inparagraph1?A.Theyindicateapromisingtrend. B.Theycontradictacommonassumption.C.Theycapturethefaculty’sinterest. D.Theyrequirefurtherinvestigation.10.Whichofthefollowingchangesismentionedinparagraph2?A.Studentsareinteractingmorewithothers.B.AIusehasledtobetterlearningoutcomes.C.Examscoresrosewhilehomeworkscoresfell.D.Studentsareusingoff-lineacademicservicesless.11.WhydoesHampsonemphasizestudentswritingandcodingwithoutAI?A.ToclarifyacceptableusesofAIincoursework.B.Topreparestudentsforfutureworkplacedemands.C.Toensurestudentsdevelopessentialhumancapacities.D.Toimprovestudents’long-termacademicperformance.12.WhatisBurnett’ssuggestiontothefaculty?A.Makelecturesmoreentertaining.B.Letstudentstaketheleadingrole.C.Takethechancetoreformeducation.D.AdjustteachingslightlytoAIchallenges.【答案】9.B10.D11.C12.C【解析】【导语】本文是一篇议论文。主要介绍ETU大学关于新生使用生成式AI的调查结果、引发的教学问题及教师们的讨论与建议。【9题详解】推理判断题。根据第一段中的“Studentsmostcommonlyuseittounderstanddifficultconcepts,search,generatestudymaterials,andeditwriting.Interestingly,thelowestreporteduseisforgeneratingtext.(学生们最常使用它来理解难懂的概念、搜索、生成学习资料和编辑写作。有趣的是，据报告，使用最少的是生成文本。)”可知，人们通常认为生成式AI主要用于生成文本，而调查结果与之相反，因此这与普遍的假设相矛盾。故选B项。【10题详解】细节理解题。根据第二段中的“Meanwhile,studentsareusingfacultyofficehoursandthespeakingandwritingcentersless.(与此同时，学生去教师答疑时间和前往口语与写作中心求助的次数减少了。)”可知，学生们正在减少使用线下学术服务。故选D项。【11题详解】推理判断题。根据第三段中的““Ialsobelievethatstudentsneedtolearntowriteandcodeunaided,todevelopcriticalthinkingskills,theiragencyascitizens,andalsomeaning—makingtheideasthathelpthemunderstandtheirownlives,”headded.(他补充道：“我还认为，学生需要学会独立写作和编程，以此培养批判性思维能力、作为公民的自主能动性，同时也要建立意义——构建那些能帮助他们理解自身生活的理念。”)”可知，汉普森强调学生在没有AI的情况下写作和编程是为了确保学生发展基本的人类能力。故选C项。【12题详解】细节理解题。根据最后一段中的““Weactuallyhavetoseethislessasaproblemandmoreasanopportunity,”Burnettsuggested.“HowcanETUleadinrethinkinghowweteach,howwelearn…andhaveourstudentsbebenefitingandbeingattheleadingedgeofthat?”(伯内特表示：“事实上，我们不该把这更多看作一个问题，而应更多看作一个机遇。ETU该如何在重新思考教学方式、学习方式……并让我们的学生从中受益、走在前沿这方面起到引领作用？”)”可知，伯内特建议教师们抓住机会改革教育。故选C项。4.（2026·苏北七市·二模）GenerativeAItoolshaveexplodedinpopularity,enablinguserstocreatetext,images,musicandvideoinseconds.Butbehindtheinnovationliesacontroversialissue:theunauthorizeduseofcopyrightedmaterialtotrainthesemodelsandtheuncreditedreproductionofprotectedworksinAI-generatedcontent.Forartists,writersandfilmmakers,theriseofgenerativeAIfeelslikeathreat.ManyAIsystemsaretrainedonvastdatasetsscrapedfromtheinternet—includingnovels,paintings,songsandfilms—withoutpermissionorcompensationtotheoriginalcreators.WhenAIproducesnewcontentthatcloselymimicsthestyleorevenspecificelementsofcopyrightedworks,itoftendoessowithoutattribution,leavingcreatorsfeelingtheirlaborisexploited.Takevisualartistsasanexample.Adigitalpaintermightspendyearsdevelopingauniquestyle,onlytofindAItoolscanreplicatethatstyleinstantly.SomeartistshavefiledlawsuitsagainstAIcompanies,arguingthattrainingmodelsontheirworkwithoutconsentviolatescopyrightlaw.TheydemandfaircompensationandclearerrulesonhowAIcanusecreativecontent.Techcompanies,however,arguethatAItrainingfallsunder"fairuse,"alegaldoctrinethatallowslimiteduseofcopyrightedmaterialwithoutpermissionforpurposessuchaseducation,researchorinnovation.TheyclaimAItransformstheoriginalmaterialintosomethingnew,thusnotinfringingoncopyright.Yetthisargumentfailstoaddressthecoreconcernofmanycreators:thatAIprofitsfromtheirworkwithoutgivinganythingback.Thedebateisfarfromsettled.GovernmentsaroundtheworldarestrugglingtoupdatecopyrightlawstokeeppacewithAI.TheEuropeanUnion’sAIActrequirestransparencyabouttrainingdata,whiletheUSCopyrightOfficehasrefusedtograntcopyrighttopurelyAI-generatedworks.InChina,newregulationsmandatelabelingAI-generatedcontenttopreventdeception.AsgenerativeAIcontinuestoevolve,findingabalancebetweeninnovationandprotectionwillbecritical.Withoutclearrules,bothcreatorsandAIdeveloperswillfaceuncertainty.ThegoalshouldbetofosterAIprogresswhileensuringthatthosewhocreateoriginalworkarerespectedandrewarded.13.WhatproblemismainlydiscussedinParagraph1?TherapiddevelopmentofAItechnology. B.ThelackoflegalprotectionforAIusers.C.TheillegaluseofcopyrightedmaterialbyAI.D.Thedifficultyincreatingoriginalcontent.14.WhydomanyartistsopposegenerativeAI?AImakestheirworkslesspopular.AIcopiestheirstyleswithoutpermission.AIreducesthevalueofcreativejobs.D.AIfailstoproducehigh-qualitycontent.15.WhatdotechcompaniesclaimaboutAItraining?Itshouldbestrictlybannedbylaw.Itbelongstothecategoryoffairuse.Itneedsfullpermissionfromcreators.D.Ithasnothingtodowithcopyright.16.Whatcanbeinferredfromthelasttwoparagraphs?GloballawsonAIcopyrightareconsistent.AI-generatedworkscangetcopyrightintheUS.ChinarequiresclearlabelsforAIcontent.D.Innovationshouldcomebeforecopyrightprotection.【答案】13.C14.B15.B16.C【解析】【导语]本文是一篇议论文。主要介绍生成式AI的普及所引发的版权争议，围绕AI未经授权使用版权素材、创作者维权与科技公司的分歧展开，探讨全球版权法规如何适配AI发展，寻求创新与版权保护的平衡。【13题详解】细节理解题。根据第一段中的“Butbehindtheinnovationliesacontroversialissue:theunauthorizeduseofcopyrightedmaterialtotrainthesemodelsandtheuncreditedreproductionofprotectedworksinAI-generatedcontent.(但在这项创新背后，存在一个有争议的问题：未经授权使用受版权保护的素材来训练这些模型，以及在AI生成的内容中未经署名复制受保护的作品。)”可知，第一段主要讨论的核心问题是AI非法使用受版权保护的素材。A项仅提及AI技术的快速发展，未涉及争议问题；B项“缺乏对AI用户的法律保护”文中未提及；D项“创作原创内容的困难”与第一段无关。故选C项。【14题详解】细节理解题。根据第二段中的“ManyAIsystemsaretrainedonvastdatasetsscrapedfromtheinternet—includingnovels,paintings,songsandfilms—withoutpermissionorcompensationtotheoriginalcreators.(许多AI系统是在从互联网上抓取的海量数据集上训练的——包括小说、绘画、歌曲和电影——却没有获得原创创作者的许可，也没有向他们支付报酬。)”以及第三段中的“Adigitalpaintermightspendyearsdevelopingauniquestyle,onlytofindAItoolscanreplicatethatstyleinstantly.(一位数字画家可能会花费数年时间培养独特的风格，却发现AI工具能立即复制这种风格。)”可知，许多艺术家反对生成式AI，是因为AI未经许可就复制他们的风格，侵犯了他们的权益。A项“AI使他们的作品不那么受欢迎”、C项“AI降低了创意工作的价值”、D项“AI无法生成高质量的内容”文中均未提及。故选B项。【15题详解】细节理解题。根据第四段中的“Techcompanies,however,arguethatAItrainingfallsunder"fairuse,"alegaldoctrinethatallowslimiteduseofcopyrightedmaterialwithoutpermissionforpurposessuchaseducation,researchorinnovation.(然而，科技公司认为，AI训练属于“合理使用”——这是一项法律原则，允许在未经许可的情况下，为教育、研究或创新等目的有限使用受版权保护的素材。)”可知，科技公司声称AI训练属于合理使用的范畴。A项“它应该被法律严格禁止”与科技公司的观点相反；C项“它需要获得创作者的完全许可”不符合文意；D项“它与版权无关”表述错误，科技公司只是认为属于合理使用，并非与版权无关。故选B项。【16题详解】推理判断题。根据倒数第二段中的“InChina,newregulationsmandatelabelingAI-generatedcontenttopreventdeception.(在中国，新法规强制要求为AI生成的内容标注标签，以防止欺骗。)”可知，中国要求为AI生成的内容标注清晰的标签。A项“全球关于AI版权的法律是一致的”表述错误，文中提到欧盟、美国、中国的法规各有不同；B项“AI生成的作品在美国可以获得版权”与文意不符，美国版权局拒绝为纯AI生成的作品授予版权；D项“创新应该优先于版权保护”错误，最后一段明确提到“找到创新与保护之间的平衡至关重要”。故选C项。5.（2026·运城·一模）Newresearchchallengesthewidespreadbeliefthatartificialintelligence(AI)isdrivingamajorriseinglobalgreenhousegasemissionsScientistsfromtheUniversityofWaterlooandtheGeorgiaInstituteofTechnologyanalyzedU.S.economicdataalongsideestimatesofhowfrequentlyAItoolsareusedacrossdifferentindustries.TheiraimwastounderstandwhatmighthappentotheenvironmentifAIadoptionincreasesalongitscurrentpath.AccordingtotheU.S.EnergyInformationAdministration,83percentofthenation’seconomicactivityreliesonpetrol,coalandnaturalgas.Thesefuelsreleasegreenhousegaseswhenburned.TheresearchersnotedthattotalenergyusefromAIintheU.S.matchedtheelectricityconsumptionofIceland,yetthisamountremainedinsignificantwhenviewedatnationalorgloballevels.“Itisimportanttonotethattheincreaseinenergyuseisnotgoingtobeuniform.It’sgoingtobefeltmoreintheplaceswhereelectricityisproducedtopowerthedatacenters,”saidDrJuanMoreno-Cruz,aprofessorattheSchoolofEnvironment,EnterpriseandDevelopmentattheUniversityofWaterlooandCanadaResearchChairinEnergyTransitions.“Ifyoulookatthatenergyfromthelocalperspective,that’sabigdealbecausesomeplacescouldseedoubletheamountofelectricityoutputandemissions.Butatalargerscale,AI’suseofenergywon’tbenoticeable.”“ForpeoplewhobelievethattheuseofAIwillbeamajorproblemfortheclimateandthinkweshouldavoidit,we’reofferingadifferentperspective,”Moreno-Cruzadded.“Theeffectsonclimatearenotthatsignificant,andwecanuseAItodevelopgreentechnologiesortoimproveexistingones.”Todeveloptheirfindings,environmentaleconomistsMoreno-CruzandDrAnthonyHardingreviewedavarietyofeconomicsectors,thetypesofjobswithinthosesectors,andtheshareoftasksthatcouldpotentiallybeperformedbyAI.Moreno-CruzandHardingintendtoapplythesameapproachtoadditionalcountriesinordertounderstandhowAIadoptionmayaffectenvironmentaloutcomesacrossdifferentregionsoftheworld.17.Whatistheprimarygoaloftheresearch?A.TopromotethedevelopmentofgreenAI. B.Tomeasureenergyconsumptionworldwide.C.TowarnaboutAI’sgrowingenergydemands. D.ToassessAI’spotentialenvironmentaleffects.18.WhatcanbesaidaboutAIenergyconsumptionintheU.S.?A.Itcontributestopetrol-basedactivities. B.Itwillsoonreachtheglobalemissiontarget.C.Ithassmallinfluenceatthenationallevel. D.ItexceedsIceland’selectricityconsumption.19Whatdoresearchersplantodonext?A.Extendtheirresearchtomorecountries. B.ShiftfocustoAI’seconomicadvantages.C.DevelopAIapplicationstostopemissions. D.ReducetheenergyuseofAIindatacenters.20.Whichofthefollowingisthemainideaofthetext?A.AItechnologydrivesgreenhousegasemissions.B.AIenergyconsumptionurgentlyneedsregulating.C.Datacentersemitmorethanpreviouslyestimated.D.AI’simpactonclimateismuchsmallerthanbelieved.【答案】17.D18.C19.A20.D【解析】【导语】本文是一篇说明文。文章主要讲述了新研究对人工智能（AI）是否会大幅增加全球温室气体排放这一普遍观点提出质疑，介绍了研究的过程、发现及未来计划。【17题详解】细节理解题。根据第一段“TheiraimwastounderstandwhatmighthappentotheenvironmentifAIadoptionincreasesalongitscurrentpath.(他们的目的是了解如果人工智能的采用沿着目前的路径增加，环境可能会发生什么)”可知，该研究的主要目的是评估人工智能对环境的潜在影响。故选D项。【18题详解】细节理解题。根据第二段“TheresearchersnotedthattotalenergyusefromAIintheU.S.matchedtheelectricityconsumptionofIceland,yetthisamountremainedinsignificantwhenviewedatnationalorgloballevels.(研究人员指出，美国人工智能的总能源使用量与冰岛的电力消耗相当，但从国家或全球层面来看，这一数字仍然微不足道)”可知，美国人工智能的能源消耗在国家层面上影响较小。故选C项。【19题详解】细节理解题。根据最后一段“Moreno-CruzandHardingintendtoapplythesameapproachtoadditionalcountriesinordertounderstandhowAIadoptionmayaffectenvironmentaloutcomesacrossdifferentregionsoftheworld.(Moreno-Cruz和Harding打算将同样的方法应用于更多的国家，以便了解人工智能的采用可能如何影响世界不同地区的环境结果)”可知，研究人员计划将他们的研究扩展到更多国家。故选A项。【20题详解】主旨大意题。根据第一段“Newresearchchallengesthewidespreadbeliefthatartificialintelligence(AI)isdrivingamajorriseinglobalgreenhousegasemissions.(新研究对人工智能（AI）正在推动全球温室气体排放大幅上升的普遍看法提出了挑战)”以及全文内容可知，本文主要讲述了新研究对人工智能（AI）是否会大幅增加全球温室气体排放这一普遍观点提出质疑，研究发现人工智能对气候的影响比人们认为的要小得多。故选D项。6.（2026·郑州·一模）AItechnologyhaslongbeenabletorecognizepatternsinmusicpreferencesandcreatepersonalizedplaylists.Now,anewAIsystemhastakenthisastepfurtherbyanalyzinghowpeoplelistentomusicandidentifyingtheirunique“listeningstyles”.Thisadvancementchangeshowmusicstreamingservicestailorplayliststoindividualusers,makingthemmoreenjoyable.Musicrecommendationalgorithms(算法)havebeenhighlyeffectiveatsuggestingnewsongsandartists.ButDr.EmilyCarter,amusicdatascientistattheUniversityofMusicandTechnology,notesthatthesealgorithmsoftenuseaone-size-fits-allapproachthatdoesn’trecordtheslightdifferencesofindividuallisteningbehavior.Tobetterunderstandandsatisfyindividualpreferences,researchersneedtoanalyzeeachuser’suniquelisteningpatterns.TodevelopandtraintheirAI,theresearcherscollecteddatafromover50millionlisteningsessionsandfeditintoaneuralnetwork.Theytestedthesystembyseeinghowwellitcoulddistinguishbetweendifferentusers’listeninghabits.Thesystemwasgiven100listeningsessionsfromeachofabout3,000knownusersand100newsessionsfromanunknownuser.TheAIlookedforthebestmatchandidentifiedtheunknownuser86%ofthetime,accordingtoastudypresentedattheInternationalSocietyforMusicInformationRetrieval(ISMIR).“Wewerequitesurprisedbytheaccuracy,”saysAlexJohnson,adoctoralstudentinCarter’slabandtheleadauthorofthestudy.Anon-AImethodwasonly28%accurate.“Theworkisinnovative,”saysDr.SarahKim,amusicresearcher.“Personalizedmusicexperiencescouldtransformhowweinteractwithmusicplatforms.”Theresearchersareawareoftheprivacyimpactoftheirsystem,whichcouldpotentiallyidentifyusersbasedontheirlisteninghabits.Intheory,similarsystemscouldalsoanalyzeotherbehaviors,suchasthetypesofpodcasts(播客)peoplelistentoorthetimingoftheirmusicconsumption.ISMIRorganizersfoundthestudyimpressivebutquestionable,andaccepteditonconditionthattheresearchersdetailtheprivacyrisks.Carter