Abstract：Mapping the literature on the application of artificial intelligence in librariesAAILa scientometric analysis PurposeArtificialIntelligenceAIisanemergingtechnologyandturnedintoafieldofknowledgethathas beenconsistentlydisplacingtechnologiesforachangeinhumanlifeItisappliedinallspheresoflifeas reflectedinthereviewoftheliteraturesectionhereAsapplicableinthefieldoflibrariestoothisstudy scientificallymappedthepapersonAAILandanalyzeitsgrowthcollaborationnetworktrendingtopicsor researchhotspotstohighlightthechallengesandopportunitiesinadoptingAI-basedadvancementsinlibrary systemsandprocessesDesignmethodologyapproachThestudywasdevelopedwithabibliometricapproachconsideringa decade2012to2021fordataextractionfromapremierdatabaseScopusThestepsfollowedare1identificationselectionofkeywordsandformingthesearchstrategywiththeapprovalofapanelofcomputer scientistsandlibrariansand2designanddevelopmentofaperfectalgorithmtoverifytheseselected keywordsintitle-abstract-keywordsofScopus3Performingdataprocessinginsomestate-of-the-art bibliometricvisualizationtoolsBiblioshinyRandVOSviewer4discussingthefindingsforpractical implicationsofthestudyandlimitationsFindingsAsevidentfromseveralpapersnotmuchresearchhasbeenconductedonAIapplicationsinlibraries incomparisontotopicslikeAIapplicationsincancerhealthmedicineeducationandagricultureAsperthe PricelawthegrowthpatternisexponentialThetotalnumberofpapersrelevanttothesubjectis1462singleand multi-authoredcontributedby5400authorswith0271documentsperauthorandaround4authorsper documentPapersoccurredmostlyinopen-accessjournalsTheproductivejournalistheJournalofChemical InformationandModellingNP563whilethehighlyconsistentandimpactfulistheJournalofMachine LearningResearchz-index56358andCPP55617InthecaseofauthorsJChenz-index52886and CPP54375isthemostconsistentandimpactfulauthorAtthecountryleveltheUSAhasrecordedthehighest numberofpaperspositionedatthecenteroftheco-authorshipnetworkbutattheinstitutionallevelChinatakes the1stpositionThetrendingtopicsofresearcharemachinelearninglargedatasetdeeplearninghigh-level languagesetcThepresentinformationsystemhasahighpotentialtoimproveifintegratedwithAItechnologiesPracticalimplicationsThenumberofscientificpapershasincreasedovertimeTheevolutionofthemes likemachinelearningimplicatesAIasabroadfieldofknowledgethatconvergeswithotherdisciplinesThe themeslikelargedatasetsimplythatAImaybeappliedtoanalyzeandinterpretthesedataandsupport decision-makinginpublicsectorenterprisesThemenamedhigh-levellanguageemergedasaresearchhotspot whichindicatedthatextensiveresearchhasbeengoingoninthisareatoimprovecomputersystemsfor facilitatingtheprocessingofdatawithhighmomentumTheseimplicationsareofhighstrategicworthfor policymakerslibrarystakeholdersresearchersandthegovernmentasawholefordecision-makingOriginalityvalueTheanalysisofcollaborationprolificauthorsjournalsusingconsistencyfactorandCPPtestingtherelationshipbetweenconsistencyz-indexandimpacth-indexusingstate-of-the-artnetwork visualizationandclusteranalysistechniquesmakethisstudynovelanddifferentiatesitfromthetraditional bibliometricanalysisTothebestoftheauthorsknowledgethisworkisthefirstattempttocomprehendthe researchstreamsandprovideaholisticviewofresearchontheapplicationofAIinlibrariesTheinsights obtainedfromthisanalysisareinstrumentalforbothacademicsandpractitionersLibrary AutomationAI technologysuch as machine learning and deep learningmay be applied to the automation of library systems and processesRetrieval and IndexingAI technology may be used to strengthen the information retrieval function of the libraryThe article refers to the research hotspots related to AIincludingMachine LearningandDeep LearningThese are the sub-fields of AIfor data analysis and interpretation