ISOIECTR24028-2020信息技术人工智能人工智能的可信度概述.docx
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1、TECHNICALREPORTISO/IECTR24028Firstedition2020-05InformationtechnologyArtificialintelligence-OverviewoftrustworthinessinartificialintelligenceTechnologiesdeVinformationIntelligenceartificielleExamendensembledelaJkIbiIiiCenmatieredintelligenceartificielle3 by * Allrights rescncrPRividoI by IHS Markil
2、IlXJCT iccnse with IECNV *eMi*liAif *M (l*tvlit: (3ifNcd *ilHwl Iktfnc flMUeemilloJsiiaUKittlefruIHSISO/IEC2020-A11rightsreservedNoifoResale.O6IO32O2O2029:40MDTForewordISO(theInternationalOrganizationforStandardization)andIEC(theInternationalElectrotechnicalCommission)formthespecializedsystemforworl
3、dwidestandardization.NationalbodiesthataremembersofISOorIECparticipateinthedevelopmentofInternationalStandardsthroughtechnicalcommitteesestablishedbytherespectiveorganizationtodealwithparticularfieldsoftechnicalactivity.ISOandIECtechnicalcommitteescollaborateinfieldsofmutualinterest.Otherinternation
4、alorganizations,governmentalandnon-governmental,inliaisonwithISOandIEC,alsotakepartinthework.TheproceduresusedtodevelopthisdocumentandthoseintendedforitsfurthermaintenancearedescribedintheISO/IECDirectives,Partl.Inparticular,thedifferentapprovalcriterianeededforthedifferenttypesofdocumentshouldbenot
5、ed.ThisdocumentwasdraftedinaccordancewiththeeditorialrulesoftheISO/IECDirectives,Part2(seewwwiso.org/directives).Attentionisdrawntothepossibilitythatsomeoftheelementsofthisdocumentmaybethesubjectofpatentrights.ISOandIECshallnotbeheldresponsibleforidentifyinganyorallsuchpatentrights.Detailsofanypaten
6、trightsidentifiedduringthedevelopmentofthedocumentwillbeintheIntroductionand/orontheISOlistofpatentdeclarationsreceived(seewww.iso.org/patents)ortheIEClistofpatentdeclarationsreceived(seehttp:/patents.iec.ch).Anytradenameusedinthisdocumentisinformationgivenfortheconvenienceofusersanddoesnotconstitut
7、eanendorsement.ForanexplanationofthevolunttatClSO/(EC2C0-AUrightsProvidedbyIHSMarkilundeclicensewithIECNorproduct)aarnetworkingPennaedwithou!IICenSefromHSIntroductionThegoalofthisdocumentistoanalysethefactorsthatcanimpactthetrustworthinessofsystemsprovidingorusingALcalledhereafterartificialintellige
8、nce(AI)systems.ThedocumentbrieflysurveystheexistingapproachesthatcansupportorimprovetrustworthinessintechnicalsystemsanddiscussestheirpotentialapplicationtoAlsystems.ThedocumentdiscussespossibleapproachestomitigatingAlsystemvulnerabilitiesthatrelatetotrustworthiness.Thedocumentalsodiscussesapproache
9、stoimprovingthetrustworthinessofAlsystems.OimamiGrSUoUdWkMiThSUahiiUYiMIconM.hECMim*d,H5Maitr*nMRKChyr*artMl*A*Umm*At3.22intendeduseuseinaccordancewithinformation(3.20)providedwithaproductorsystem(3.38)or,intheabsenceofsuchinformation,bygenerallyunderstoodpatterns(3.26)ofusage.SOURCE:ISO/IECGuide51:
10、2014,3.63.23machinelearningMLprocess(3.29)bywhichafunctionalunitimprovesitsperformancebyacquiringnewknowledgeorskillsorbyreorganizingexistingknowledgeorskillsSOURCE:ISO/IEC2382:2015,21237893.24machinelearningmodelmathematicalconstructthatgeneratesaninferenceorprediction,basedoninputdata(3.11)3.25neu
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