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MonetaryAuthorityofSingapore
Guidelines7October2026
GuidelinesonArtificialIntelligenceRisk
Management
7OCTOBER2026|2
GuidelinesonArtificialIntelligenceRiskManagement
Contents
1.Introduction3
2.ApplicationoftheGuidelines8
3.AIOversight10
4.KeyAIRiskManagementSystems,PoliciesandProcedures13
5.AILifeCycleControls17
6.AICapability&Capacity30
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1.Introduction
1.1.TheGuidelinesonArtificialIntelligence(Al)RiskManagement(the“Guidelines")setoutMAS'supervisoryexpectationsrelatingtoAlriskmanagementinfinancialinstitutions(Fls)²,andseektosupporttheirresponsibleadoptionofAI.TheseGuidelinessetoutMAS'supervisoryexpectationsintheareasofoversight,keyAlriskmanagementsystems,policies,procedures,Allifecyclecontrols,andcapabilitiesandcapacityfortheuseofAI.AnoverviewofthekeysectionscoveredintheseGuidelinesissetoutbelow.
1.Introduction
AIUseCases,Systems&Models
2.ApplicationoftheGuidelines
AllFls;Risk-proportionateApplication
3.AIOversight
BSMRoles&Responsibilities;Org.WideOversightandCoordination
4.KeyAlRiskManagementSystems,Policies&Procedures
AlIdentificationAIRiskMaterialityAssessmentAlInventory
5.AILifeCycleControls
·HumanOversight·DataManagement·Reviews&Monitoring
·Third-PartyAl·Tech.&Cybersecurity·ChangeManagementTransparency&Explainability·Selection·Reproducibility&Auditability
6.AICapability&CapacityAICapabilitiesAITech.Infra.
Figure1:OverviewoftheGuidelines
1.2.TheGuidelinescomplementexistinglegislationandguidelinesissuedbytheMAS.Theyshouldbereadinconjunctionwithrelevantguidelines,informationpapersandcircularsthatMASmayissuefromtimetotime.Forinstance,existingprinciplesonFairness,Ethics,AccountabilityandTransparency(FEAT)²continuetoapplyforguidingtheuseofAlinthefinancialsector.Flsshouldalsotakeintoaccountapplicableindustrystandardswhereappropriate³.TheGuidelinesapplyonagroupbasisforlocally
¹AsdefinedinSection2oftheFinancialServicesandMarketsAct2022.
2
.sg/publications/monographs-or-information-paper/2018/feat
3Flsmayalsorefertokeyinitiativesatthenationallevel,suchastheCyberSecurityAgencyofSingapore'sGuidelinesandCompanionGuideonSecuringAISystems,theInfocommMediaDevelopmentAuthority'sModel(IMDA)AIGovernanceFramework,aswellasthevariousinitiativesundertheAIVerifyFoundationtoinformtheiruseofAI.
GuidelinesonArtificialIntelligenceRiskManagement
7OCTOBER2026|4
GuidelinesonArtificialIntelligenceRiskManagement
incorporatedFIs,thatare(i)subjecttoconsolidatedsupervisionbyMA
S4
or(ii)anownerofacriticalinformationinfrastructur
e5.
1.3.ForthepurposeoftheseGuidelines,AIreferstomachine-basedsystemsormodelsthatderiveoutputsthroughlearnedpremisessuchasthedataorinputsitreceives.Theoutputscanincludeestimates,predictions,content,summaries,recommendations,ordecisionsthatmayinfluencephysicalorvirtualenvironments.DifferentAIvaryintheirlevelsofautonomyandadaptivenessafterdeploymen
t6.
CalculatorsortoolswhoseoutputsaresolelybasedonpredefinedprogramminglogicorruleswouldnotberegardedasAIforthepurposeoftheseGuidelines.
1.4.Inaddition,thefollowingdefinition
s7
areused:
(a)Amodelisamethodorapproachwhichconvertsassumptionsandinputdataintooutputssuchasestimates,decisions,orrecommendations.
(b)Asystemcomprisesoneormoremodelsandothermachine-basedcomponents.
(c)Ausecasereferstoaspecificreal-worldcontextthatthemodelorsystemisappliedto.
1.5.TheGuidelinesestablishasetofhigh-levelexpectationsthatallFIsshouldadheretoastheydeployAI,includingGenerativeAIandnewerdevelopmentssuchasAIagents.AnFIwhichispartofaglobalgroupmaytakeguidancefromorleveragetheirGroup’sAIriskmanagementframeworks,aslongasthoseframeworksmeettheexpectationssetoutintheseGuidelines.
1.6.FIsshouldimplementtheseGuidelinesinamannercommensuratewiththesizeandnatureoftheiractivities,andtheextenttowhichtheiruseofAIcouldleadtomaterialriskstothem.AIcanbeappliedtoawiderangeofusecases,andtherisksassociatedwithdifferentuseofAImayvarybasedonthescale,scopeandbusinessmodelsofFIs.
4Theseincludelocally-incorporatedFIsfromthebankingandinsurancesectors.
5AsdefinedintheCybersecurityAct2018.
6ThefollowingareillustrativeexamplesofAItechniquesandapplicationsthatwouldgenerallyfallwithinthedefinitionabove.Thislistisnon-exhaustive,andnewertechniquesandapplicationsnotlistedhereshouldbeassessedagainstthisdefinition.Currentexamplesincludemachinelearning(includingsupervised,unsupervised,andreinforcementlearning),deeplearning,naturallanguageprocessing,computervision,generativeAI(includinglargelanguagemodels),andAIagents(includingmulti-agentsystems).Fortheavoidanceofdoubt,rule-basedsystems,toolswhoseoutputsarefullydeterminedbyexplicitformulaethatweremanuallyspecified,ratherthanderivedfromdata,androboticprocessautomationthatfollowsfixedprogrammedinstructionswithoutlearningoradaptationwouldnotordinarilybeconsideredAIforthepurposeoftheseGuidelines.
7WhereapointpertainsspecificallytoanAIusecase,AIsystemorAImodel,wewillusetherespectivetermsexplicitlyintheseGuidelines.
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GuidelinesonArtificialIntelligenceRiskManagement
1.7.GiventhepaceofAIdevelopments,MASalsoexpectsFIstoregularlyreviewtheadequacyoftheirAIriskmanagementeffortsagainstAIdevelopmentsandaddressneworaccentuatedrisksthatmayariseduetosuchdevelopments.
1.8.TheseGuidelinestakeeffecton7October2027.FIsmaymeettheexpectationssetoutinSections3to
4from7October2027,andSection5and6oftheGuidelinesby7October2028.
Risks
1.9.TheuseofAIcanimproveperformanceacrossbusinessandfunctionalareasbutitscomplexityandprobabilisticnaturecanleadtogreateruncertainty,aswellasunexpectedormorebiasedbehaviourthatishardertoidentifycomparedtotheuseofsimplermethod
s8.
ThegreatercomplexityofAIalsoleadstochallengesinunderstandingandexplainingitsoutputsthatmaybeinaccurateorbiased.RisksfromAIuseisoftenanextensionofexistingriskcategories;suchrisksinclude:
(a)Financialrisks,e.g.,whenusedforriskmanagement,thegreateruncertaintyandunexpectedbehaviourofAIcouldleadtopoorriskassessmentsandconsequentfinanciallosses.
(b)Operationalrisks,e.g.,unexpectedbehaviourofAIusedtoautomateanFI’soperationscouldleadtooperationaldisruptionsorerrorsincriticalprocesses.
(c)Conductrisk,e.g.,useofAIcanresultinbiasedoutputs,leadingtounfairtreatmentofcertaincustomergroups,abiasforcertaininvestmenttypesoverothers,orconflictsofinterestsbetweenanFIanditscustomers.
(d)Financialcrimerisks,e.g.,whenusedtosupportanti-moneylaunderingefforts,thegreateruncertaintyandunexpectedbehaviourofAIcouldmeanthatsuspicioustransactionsgoundetected.
(e)Reputationalrisks,e.g.,customer-facingsystems,suchaschatbots,couldprovideincorrectinformationormakeoffensiveremarksthatleadtonegativemediaattentionandreputationaldamage.
1.10.WithGenerativeAI,suchexistingrisksassociatedwithAImaybeamplified.ThegreatercomplexityofGenerativeAIgivesrisetoevengreateruncertaintyandunexpectedbehaviourcomparedtoAI.TheunstructurednatureofGenerativeAIinputsandoutputs,andalackofestablishedtechniquesinthis
8Suchuncertaintyorbehaviourmayarisefromthenoisethatisinherentintrainingdata,trainingdatathatmaynotberepresentative,orwhenthemodelencountersscenariosthatarenotpresentinitstrainingdata.Itmayalsoariseduetodataormodeldriftsovertime.
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GuidelinesonArtificialIntelligenceRiskManagement
areaalsomakeithardertoevaluateandtest,aswellasunderstandandexplainGenerativeAI’sbehaviourandoutputs.ThediverseandoftenopaquedatasourcesusedinGenerativeAItraining,coupledwithdifficultiesinevaluatingbiasofGenerativeAIoutputs,couldalsoresultindecisionsthatleadtounfaircustomeroutcomes.GenerativeAImayalsoleadtoarangeofotherinter-relatedrisks,suchas:
(a)Securityrisks,e.g.,arisingfromadversarialattacksonGenerativeAIsystemsviapromptinjectionordatapoisonin
g9.
(b)Privacyrisks,e.g.,arisingfromtheleakageofconfidentialorcustomerdataduetotheuseofthird-partyGenerativeAIservices,ortheinappropriateuseofcustomerdatainGenerativeAIwithoutproperconsent.
(c)Legalandintellectualpropertyrisks,e.g.,arisingfromtheuseofGenerativeAItrainedondatathatinfringesexistingcopyrightsorpatents.
(d)Third-partyA
I10
risks,e.g.,arisingfromover-relianceonafewdominantGenerativeAIprovidersformissioncriticalareas,orusingopen-sourcemodelswithpoorsecuritycontrols.
(e)Operationalrisks,e.g.,potentialservicedisruptionsduetoGenerativeAIoutagesandproblemsarisingfrominadequatepre-deploymenttesting.
(f)Human-factorrisks,e.g.,useofshadowAI,poorhumanoversightoverGenerativeAIusedinmissioncriticalareas,automationbiasorskilldegradationduetoover-relianceonGenerativeAI.
1.11.Similarly,theuseofnewertechnologiessuchasAIagents,whichmaybegrantedgreaterautonomyandaccesstotools,couldfurtheramplifytheserisks.Forexample,anAIagentwithaccesstotoolscouldautonomouslyexecuteunauthorisedorerroneousactionsthatarenotalignedwithanFI’sbusinessobjectivesorinacustomer’sbestinterestsduetoadivergencebetweenpre-definedgoalsandhowtheAIagenttranslatedsuchgoalsintoaction
s11.
CompromisedAIagentswithaccesstointernalsystemsandexternaltoolscouldbeusedtoexfiltratesensitivedataorexecutemaliciouscommandsatscale,amplifyingsecurityrisks.
9MoredetailsonsuchrisksarecoveredextensivelyinMAS’InformationPaperonCyberRisksAssociatedwithGenerativeArtificialIntelligence.Thepapercanbeaccessedat
.sg/regulation/circulars/cyber-risks-associated-with-
generative-artificial-intelligence.
10ForthepurposeoftheseGuidelines,third-partyAIreferstoAIsystemsormodels,aswellasservicesortoolsincorporatingorusingAI,thataredeveloped,owned,operatedorprovidedbyanexternalparty,andwhichanFIprocures,subscribesto,accessesorotherwisereliesuponinsupportofitsbusinessactivities.
11FIsmayalsoreferencerelevantframeworksonspecificconsiderationsofrisksandgovernancepracticesforAgenticAI,suchasIMDA’sModelAIGovernanceFrameworkforAgenticAI.Thepapercanbeaccessedat
.sg/-
/media/imda/files/about/emerging-tech-and-research/artificial-intelligence/mgf-for-agentic-ai.pdf.
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GuidelinesonArtificialIntelligenceRiskManagement
1.12.MASrecognisesthatAIadoptionanditsassociatedriskswillcontinuetoevolvealongside
advancementsinAItechnologies.TheGuidelineswillbeupdatedoraugmentedasnecessary.
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GuidelinesonArtificialIntelligenceRiskManagement
2.ApplicationoftheGuidelines
2.1.TheGuidelinesapplytoallFIsinaproportionatemanner,accordingtotheirsizeandriskprofile.
2.2.Unlessparagraph2.3.applies,anFIshould:
(a)Establishframeworks,policiesandprocedurestooverseeitsuseofAI,includingclearidentificationofAIusecases,robustriskmaterialityassessmentsandanadequateAIinventory,assetoutinSections3and4oftheseGuidelines.Thescopeofsuchoversight,policiesandproceduresmaybeproportionatetothesizeandnatureoftheFI’sactivities,itsuseofAIanditsriskprofile;and
(b)Applyrelevantlifecyclecontrols,andestablishadequatecapabilitiesandtechnologyinfrastructurefortheuseofAI,assetoutinSections5and6oftheseGuidelines.Suchcontrolsmaybecalibratedbasedontheirrelevanc
e12
totheAIusecases,systemsormodelsintheFI.WheresuchaspectsarerelevanttotheAIusecase,systemormodel,theFImayimplementthembasedontheriskmaterialityoftheAIusecase.
2.3.AnFImayapplybasicAIgovernancepoliciesandprocedures,assetoutinparagraph2.5.,ifthepoorperformanceorunavailabilityoftheAIservicesortoolsusedbytheFIisunlikelytohaveamaterialadverseimpactontheFI,itscustomersorotherstakeholders.Inassessingthepotentialimpact,theFIshouldconsider:
(a)thepotentialfinancial,operational,regulatory,legalorreputationalimpactontheFI;and
(b)thepotentialimpactoncustomersorotherstakeholders,includinginrelationtofairness,ethicalconductandconsumerprotection.
2.4.ExamplesofAIus
e13
thatwouldgenerallyberegardedasmeetingthecriteriainparagraph2.3.are:
(a)UsingAItoassistindrafting,proofreadingorrephrasingemailstocustomers;
(b)UsingAItoassistinsummarisingdocumentsormeetingnotesforinternalreference;
12CertainAIlifecyclecontrols,suchasthoserelatingtotransparency,explainability,andfairnessmaybemorerelevantforAIusedinareassuchascreditscoring,insuranceunderwriting,provisionoffinancialadvisoryorfundmanagementservices.ForAIusedinlowriskmaterialityareastoassisthumansandnotfordecisionmaking,suchascopilotstoassistinwriting,AIlifecyclecontrolsrelatingtoselectionoftheAIsystemsormodels,orcertainevaluationandtestingmethodsforAI,e.g.,stresstesting,maybelessrelevant.However,AIlifecyclecontrolsrelatingtodatamanagement,safetyandcybersecuritywouldberelevantandshouldbeappliedinaproportionatemanner.
13HumansinvolvedintheseAIusecasesshouldbereviewingandcheckingtheoutputsbeforeusingthem.
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GuidelinesonArtificialIntelligenceRiskManagement
(c)UsingAItoassistintheinitialrevieworanalysisofdocumentsforinternalreference;
(d)UsingAItoassistingeneratingformulas,chartsorvisualisationsforinternalreference;
(e)UsingAIimagegeneratorstoassistindesigningmarketingorinternalmaterials;and
(f)UsingAI-poweredchatbotstoassistpersonnelinlocatingrelevantinternalresources,suchaspoliciesorprocedures.
2.5.BasicAIgovernancepoliciesandproceduresshouldminimallyincludethefollowing:
(a)clearaccountabilityforAIoversight(e.g.,bydesignatingamemberofseniormanagementasresponsibleforAIoversight);
(b)permittedandprohibitedusesofAI(e.g.,prohibitionsoninputtingconfidential,proprietaryorclientinformationintopublicAItools),togetherwitheffectivehumanoversight(e.g.,circumstanceswhenmandatoryhumanreviewandvalidationofAIoutputspriortouseisrequired);
(c)maintenanceofanapprovedlistofAItools,andadefinedprocessforrequestingapprovalofnewAItools;
(d)staffeducationontheFI’sAI-relatedpolicies;
(e)regularcompliancechecks;and
(f)periodicandtrigger-basedreviewofwhethertheFI’sAIusecontinuestomeetthecriteriainparagraph2.3.
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GuidelinesonArtificialIntelligenceRiskManagement
3.AIOversight
3.1.TheboardofdirectorsandseniormanagementofanFIplaycriticalrolesinestablishingandoverseeingrobustframeworks,policiesandprocedurestosupportAIriskmanagementacrosstheFI.
3.2.Theboardandseniormanagementshouldensurethatexistingriskmanagementframeworks,policies,andpracticesacrosstheorganisatio
n14
adequatelyidentify,assess,andaddressrisksposedbyAI.BoardandseniormanagementshouldmaintaineffectiveoversightofrisksfromAIuse,fostertheappropriateriskculturefortheuseofAI,andensurethattheFI’suseofAIwouldnotconflictwithitsabilitytomeetregulatoryrequirementsorothersupervisoryexpectation
s15.
3.3.Theboardandseniormanagementshouldensureconsistentstandards,clearaccountability,androbustcoordinationacrosstheFItomanagerisksfromAIuse.WhiletheFImayadoptvaryingapproachestoAIriskmanagement,suchascreatinganewcentralisedfunctiontomanageallrisksfromAIuse,ormanagingtheincrementalrisksfromAIuseviaexistingriskmanagementfunctions,theboardandseniormanagementshouldstillensureconsistentandcoordinatedmanagementofrisksfromAIuseacrossallrelevantfunction
s16.
3.4.Theboard,oracommitte
e17
delegatedbyit,isresponsiblefor:
(a)approvingandregularlyreviewingtheoverallgovernanceapproachforAIriskmanagement,includingthestrategicdirectionforAIuseandkeyframeworks,structures,policiesandproceduresdesignedtoassessandmanagerisksfromtheFI’suseofAIonanongoingbasis;
(b)ensuringthatrisksfromAIuseareexplicitlyaddressedwithintheFI’sriskappetiteframework,includingqualitativestatementsandquantitativemeasuresforsuchrisksasappropriat
e18;
14KeyexistingriskmanagementareaswhererisksfromAIusearerelevantincludebutarenotlimitedtomodel,operational,reputational,data,technologyandcybersecurity,third-party,legalandcompliance,financial,conduct,andenvironmentalrisks.
15Forexample,anFIshouldcontinuetoadheretoMAS’GuidelinesonFairDealingevenifitleveragesAItodeliverproductsandservices.
16Forexample,byestablishingstructurestocoordinateAIriskmanagementinacross-functionalmanner,suchascross-functionalcommitteesorlinesofcommunicationbetweenfunctions.
17ForanFIwhichispartofaglobalgroup,thecommitteecouldbeagoverningbodyorcommitteebeyondlocalmanagementthatisresponsiblefortheoversightoftheFIinSingapore,suchasaregionalorglobalcommitteewhichexercisesoversightoftherisksfromAIuserelevanttotheFIinSingapore.ForanFIwhichisnotpartofaglobalgroup,thisreferstotheboardofdirectorsoraboard-levelcommitteewhichisdelegatedbytheboardofdirectors.
18Forexample,theFIcouldestablishaqualitativeriskappetitestatementthatarticulatesthetypesandlevelofrisksfromAIusethattheFIiswillingtoaccept,and/orprohibitedusecategories.QuantitativeriskappetitemeasurescouldincludethresholdsonthenumberorfinancialimpactofAI-relatedincidents,numberofmaterialAIusecaseswithdependenciesonasingleprovider,orthenumberofmaterialAIusecasesinbreachofestablishedperformancethresholds.
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GuidelinesonArtificialIntelligenceRiskManagement
(c)settingclearrolesandresponsibilitiesfortheboardandseniormanagementconcerningAIriskmanagementoversight;
(d)ensuringithasanadequateunderstandingofAItoprovideeffectiveoversightandchallenge;and
(e)ensuringthattheFI’sapproach,riskappetiteframework,rolesandresponsibilities,capabilitiesandcultureforriskmanagementofAIuseareregularlyreviewedtokeeppacewithnewerAIdevelopments,aswellaschangesintheFI'sriskprofileandbusinessstrategies.
3.5.Seniormanagementisresponsiblefor:
(a)ensuringtheeffectiveimplementationofAI-relatedriskmanagementframeworks,structures,policiesandproceduresacrosstheFI,consistentwiththeFI’sriskappetite;
(b)regularlyreviewingtheeffectivenessoftheAI-relatedriskmanagementframeworks,structures,policiesandprocedures,makingappropriaterevisionstokeeppacewithnewerAIdevelopmentsandchangesintheFI’sriskprofileandbusinessstrategies,aswellasrelevantregulatoryrequirements;
(c)institutingappropriatestrategiesandcontrolstomanagerisksposedbyAIthroughouttheentireAIlifecycle;
(d)establishingclearrolesandresponsibilitiesformanagingrisksfromAIuseacrossdifferentbusinesslinesandfunction
s19,
includingcontrolfunctionsresponsibleforsystemsandprocessesrelatingtoAIidentification,inventorisationandriskmaterialityassessment;
(e)establishinganinternalescalationprocessformanagingmaterialrisksandexceptionsfromAIuse,suchasAIincident
s20
orbreachesofriskthresholds,andensuringappropriateandtimelyactionsaretaken;
(f)updatingtheboardonmaterialAIriskissuesinatimelymanner;and
19Suchrolesandresponsibilitiesmayleveragethethreelinesofdefencemodelifappropriate.Forexample,firstlinefunctionscouldcomprisemodeldevelopersandusersofAI,andmayberesponsibleforareassuchasassessingrisksfromAIusecasesortheapplicationofappropriatehumanoversight.Secondlinefunctionscouldprovideeffectiveandindependentchallengetofirstlinefunctions,andmayberesponsibleforareassuchasindependentvalidationandoverallcompliancewithapplicableregulationsandsupervisoryexpectations.Thethirdline(i.e.internalaudit)couldprovideindependentassuranceontheeffectivenessoftheAIriskmanagementframework.
20ForthepurposeoftheseGuidelines,AIincidentspertaintoincidentsthatinvolveafailure,malfunction,orpoorperformanceoftheunderlyingAIsystem(s)ormodel(s).
7OCTOBER2026|12
GuidelinesonArtificialIntelligenceRiskManagement
(g)ensuringthenecessarycompetenceofpersonnelandallocatingadequateresources(suchashuman,technological,financialresources)foreffectiveAIriskmanagement,includingappropriatetrainingandcapacitybuilding.
3.6.Localseniormanagementremainsaccountableforensuringthatgroupframeworks,ifadoptedforSingapore,adequatelyaddresslocalconsiderationsandregulatoryrequirementsspecifictoSingapore.LocalseniormanagementshouldhaveadequatevisibilityintoandinputonmattersaffectingSingaporeoperations,includingaccesstotimelyandrelevantreportsanddatathatinformdecisionsonhowtomanagerisksfromAIuse.ThereshouldbeclearescalationpathsforSingapore-specificissuestobesurfacedtotheresponsiblepartiestoensuretimelydecision-makingandresolutionoflocalconcerns.LocalseniormanagementshouldalsobeabletodemonstratetoMAShowtheydischargetheiroversightresponsibilities,evenwhenrelyingongroupframeworks.
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GuidelinesonArtificialIntelligenceRiskManagement
4.KeyAIRiskManagementSystems,PoliciesandProcedures
4.1.AnFIshouldensurethatitsAIriskmanagementframeworkencompasseskeysystems,policiesandproceduresfortheidentification,inventorisation,andriskmaterialityassessmentofAI.TheFIshouldapplyconsistentandrobustapproachestoidentify,inventoriseanddeterminetheriskmaterialityofAI,andapplycontrolsproportionatetotheassessedriskmateriality.
AIIdentification
4.2.AnFIshouldestablishsystems,policiesandprocedurestoensuretheconsistentidentificationofAIuseacrossallrelevantbusinessandfunctionalareas.Thisidentificationprocessisacriticalprerequisiteforapplyingtheappropriategovernance,riskmanagementstandards,andcontrolseffectivelytoAIthroughouttheirlifecycle.ClearAIdefinitions,criteriaandprocesses,supportedbytoolsandsystemsasappropriate,shouldbeimplementedtofacilitatethisidentificationprocess.WhereAIisincorporatedwithi
n21,
orusedinthedeliveryof,third-partyservices,theidentificationprocessshouldminimallycoversuchAIinservicesprovidedbymaterialthird-partyserviceproviders.
4.3.AnFIshouldassignclearrolesandresponsibilitiesforAIidentification,includingthedesignationofacontrolfunctiontoberesponsibleforAIidentificationsystemsandprocesses.WhiletheactualidentificationofAIusemaybecarriedoutbyrelevantbusinessorfunctionalunits,thedesignatedcontrolfunctionshouldretainsufficientandindependentoversighttoensuretheconsistentapplicationoftheidentificationprocessacrosstheFIincludingtheidentificationofnewAIuseovertime.ItshouldalsobethefinalarbiteronwhetheragivenuseconstitutesAIuse.Thedesignatedcontrolfunctionshouldensurethatcleardocumentationoftheidentificationprocessandoutcomesismaintained,andthatidentificationsystemsandprocessesareregularlyreviewedandupdatedtotakeintoaccountnewerAItechnologiesorintroductionofAIintoexistingthird-partyservices.
4.4.AnFIshouldensurethatresidualrisksfromunidentifiedAIuseremainwithintheFI'sriskappetite.WheretherearepracticalconstraintsinconsistentlyidentifyingallAIuse,e.g.,duetoinadequate
21Forexample,software-as-a-servicewhichmaynotbeexplicitlysoldasAI,butcontainsAIfeaturesthatanFImayaccessoruseaspartofconsumingtheservice.
7O
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