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AIfor
Impact:ThePRISMFrameworkforResponsibleAIinSocial
InnovationWHI
T
E PAPE
RJU
N
E 202
4Incollaboration
withEYand
MicrosoftContentsImages:Dimagi,Getty
ImagesForewordExecutive
summaryIntroductionPathwaysforadoption:ThePRISM
FrameworkThePRISM
FrameworkCasestudiesalongtheadoptionpathways2Capabilitiesand
risksEthicsDataBusinessand
organizationTechnologyCostsand
metricsConclusionContributorsEndnotes3458912151618202225282931DisclaimerThisdocumentispublishedbytheSchwabFoundationforSocial
EntrepreneurshipinpartnershipwiththeWorldEconomicForum.Thefindings,interpretationsandconclusionsexpressedhereinarearesultofacollaborativeprocessfacilitatedandendorsedbytheSchwab
FoundationforSocialEntrepreneurshiportheWorldEconomicForumbutwhoseresultsdonotnecessarilyrepresenttheviewsoftheSchwabFoundationandWorld
EconomicForum,northeentiretyofitsMembers,Partnersorother
stakeholders.?2024SchwabFoundationforSocialEntrepreneurshipandtheWorldEconomicForum.Allrightsreserved.Nopart
ofthispublicationmaybereproducedortransmittedinanyformorbyanymeans,includingphotocopyingandrecording,orbyanyinformationstorageandretrieval
system.AIforImpact:ThePRISMFrameworkforResponsibleAIinSocial
Innovation2ForewordNowmorethanever,businessesandorganizationsfindthemselvesatapivotaljuncture–onethatcompelsthemtoprioritizetheircommunitiesandtheenvironmentatthecoreoftheir
operations.Thetumultuouslandscapeofongoingglobalcrisessignalsthatbusinessasusualisnolongeranoption.Againstthisbackdropofchangeandchallenge,socialinnovatorsaredemonstratingglobally,acrosssectorsandregionsandintheircommunities,whatthecapitalismofthefuturecanlooklike–amodelwherepurposeandprofitnotonlycoexistbutreinforceeachother,thrivingwith
profit.Yet,asthe2030deadlinefortheSustainableDevelopmentGoalslooms,significantgapsremainintheimpacttargetssetbybusinessesandgovernmentstoensureajust,equitableandsustainableworldforall.Achievingthesegoalsdemandsnothinglessthancollectiveactionandacertainleapfroggingtoacceleratethespeed
atwhichthetargetsarebeingmet.Theemergenceofartificialintelligence(AI)presentsatransformativeopportunityforsocialinnovators,non-profits,businessesandgovernmentsalike.TheAIforImpact:TheRoleofArtificialIntelligenceinSocialInnovationreportreleasedinApril2024examinesthelandscapeofsocialinnovatorswhoarecurrentlydeployingAIworldwide.Thekeyinsightsfromthisreportunderscoretheimmensepotentialof
AIasatoolfordrivingsocialimpact,particularlyincriticaldomainssuchashealthcare,educationandeconomic
empowerment.Torealizeimpactonagrandscale,widespreadAIawarenessandthestrategic,responsibledeploymentofthetechnologyisnecessary–whetherintegratedintooperatingmodelsorasaproductdeployedasameanstoeffect
change.Yet,internalandexternalbarriersremainthatpreventsocialinnovatorsfromadoptingAIat
scale,hinderingtheirabilitytoharnessitsfullpotential.Forsocialinnovators,challengessuchastechnicalcomplexity,skillsgaps,accesstoAItechnologyalongwithbalancingsocialandbusinessobjectivescanbeprohibitivetotheirunderstandinganddeploymentofthetechnology.Ontheotherhand,technologyorganizationsanddevelopershavearesponsibilitytodevelopAIcapabilitiesthatareethicalandfair,addressglobaldisparitiesanddonotexacerbateexistingbiases.Thisnecessitatesthecreationoftwo-waydialoguebetweentechnologyorganizationsandsocialinnovatorsthatintegratesthevoicesofsocialinnovators,enablingthemtoinfluencethetechnologyroadmapandensuringthatAIcapabilitiesaretrulyfitforpurposeforimpact
enterprises.ThispaperbuildsonearliereffortstopresentastrategicroadmapforsocialinnovatorsassessinghowtoincludeAIintheiroperationsormodels.ItdrawsinspirationfromthoughtleadershippublishedbytheWorldEconomicForum’sAIGovernanceAllianceandisinformedbytheexpertiseofanetworkofsocialinnovatorsandintermediariesonthefrontlineofchange.SpecialthanksgotothoseinvolvedintheworkinggroupsoftheGlobalAllianceforSocialEntrepreneurshipAIforSocialInnovationworkstream,whosetimeandexpertisehavecontributedtothedevelopmentofthispaperandwhoselivedexperiencescanbefoundasexamplesthroughoutthe
paper.Thispaperwillformthebasisforworkwithintermediarypartnersandotherecosystemcollaboratorsonthefurtherdevelopmentoftrainingandskill-buildingtoolkitsforsocial
enterprises.Ourhopeisthattheframeworksandroadmapspresentedherein,alongwithresourcesfromcorporatecollaborators,canhelpsocialinnovatorsrealizethepromiseofAI-drivensocial
change.Jean-PhilippeCourtoisExecutiveVice-PresidentandPresident,NationalTransformation
Partnerships,MicrosoftAIforImpact:ThePRISM
FrameworkforResponsibleAIinSocial
InnovationJune
2024Cathy
LiHead,AI,DataandMetaverse;Memberofthe
Executive
Committee,
WorldEconomic
ForumGillian
HindeEYGlobalCorporateResponsibilityLeader,
EYGSAIforImpact:ThePRISMFrameworkforResponsibleAIinSocial
Innovation3Executive
summaryThePRISMFrameworkenablesorganizationstoadoptartificialintelligenceforimpactandhighlightstechnologyshortcomingsforethical
implementation.Therapiddevelopmentanddisseminationofartificialintelligence(AI)capabilitiespresentsaviablesolutionforsocialinnovatorstoleapfrogstructuralgapsandscaletheirsolutions.Thefirst
reportinthisseries,AIforImpact:TheRoleofArtificialIntelligenceinSocialInnovation,waspublishedbytheSchwabFoundation’sGlobalAllianceforSocialEntrepreneurshipincollaborationwith
EYandMicrosoft.ItoffersacomprehensiveanalysisoftheroleofAIinsocialinnovation,withinsightsfromover300socialinnovators.Itdemonstrateshowsocialinnovatorsalreadyembracethetechnologyfortangibleoutcomes,mostlyinareas
suchashealthcare,environmentalaction,economicempowermentor
education.ThissecondpapertakesadeeplookintobestpracticesintheprocessofapplyingAI.ItfeaturessocialinnovatorswhoarespearheadingthedeploymentofAIforimpact,thosewhoareimplementingitasanenablerforscaleandthosewhoarejuststartingtoconsidertheuseofAIfortheiroperations.Datashowsthatmorethan50%ofsocialinnovatorscurrentlyapplyAItoenhancecoreproductsorservices.AlmostathirdleverageAItodevelopentirelynewsolutionsand
another20%useittoenhanceinternalefficienciesorenablescalefortheir
organization.Buildingonthisdataset,researchandover20in-depthinterviews,thispaperintroducesthePRISMFrameworktoguidesocialinnovatorsandotherorganizationsthroughthenuancedlandscapeofAIintegration.Theframeworkencouragesorganizationstostartwith
low-risk,low-costAIapplicationsandstressestheimportanceoforganizationalreadinessovermeretechnologicalcapability.ItalignswithestablishedmethodologiesliketheAIGovernanceAlliance’sPresidioFramework.Itadvocatesan
iterativebutstrategicallyalignedapproachwithspecificevaluationgatesfortheimplementationof
AI.ThePRISMFrameworkoutlinesthreelayersofAIimplementation:impactmissionand
strategy,adoptionpathways,andcapabilitiesandrisks.Eachlayeraddressesdifferentelementsofreadinessandpotentialapplications,fromsimple,internalusecasestocomplex,externallyfacing
deployments.ThemodularapproachallowsorganizationstotailortheirAIstrategiestotheirspecificneedsandcapacities,ensuringthatAIadoptionis
bothimpactfulandsustainable.Richcasestudies,suchasSASBrasil’scervicalcancerscreeningandHighResolvesAI-enhancededucationalinitiativesillustratetheframework’s
use.Theframeworkalsohighlightsrisksandtechnologicalshortcomingsthatneedtobeaddressedforanequitableimplementation.Thisincludes,forexample,databiasesortechnologystructuresthatarenotfittoallowforexplainabilityofAIdecisions–akeyelementtobuildtrustamongthecommunitiesthatsocialinnovatorsaretryingtoserve.Therefore,thepapercalls
foractiveengagementbetweenAIforsocialinnovationecosystem,technologyleadersandsocialinnovatorstojointlyenabletheethicaladoptionofAIforpositive
impact.Image
credit:LifeBankAIforImpact:ThePRISM
FrameworkResponsibleAIinSocialInnovation 4Artificialintelligence(AI)offerstransformativepotentialinsolvingcomplexsocietalchallengesandisdeployedacrosssectorsfromhealthcaretoagriculture.InApril2024,theSchwabFoundation’sGlobalAllianceforSocialEntrepreneurship’spublishedtheAIforImpact:TheRoleofArtificialIntelligenceinSocialInnovationreportincollaborationwithEYandMicrosoft.It
analysesAIimplementationsbyover300social
innovatorsandrevealsthatthereisnogapinimplementationbetweenlow-/middle-incomeandhigh-incomecountriesbutastrongdiversityinthesectorsofimplementation:healthcareandenvironmenthadthehighestshareofAIimplementationsacrosstheboard.However,80%ofeconomicempowermentsolutionsweredeployedbysocialinnovatorsinlow-/middle-income
countries.IntroductionArtificialintelligencehasthepotentialtoscaleimpactinseveraldomainsbutrequirescollaborationtohelpsocialinnovatorsrealizeitsmaximum
potential.Geographicalsummaryofthesocialinnovator
datasetFIGURE
177UnitedStatesIndia31United
Kingdom20Kenya18Nigeria12Brazil12Canada10Australia10Singapore10Mexico8New
Zealand81Number
of
social
innovators77NorthAmerica,
29%Asia,20%Africa,18%Europe,
16%LatinAmerica,11%Oceania,6%Despitebroadimplementation,thereportidentifiesgapshinderingwideradoption.Only13%ofAIinitiativesfocusoneducationaltoolkits,primarilyintheGlobalNorth.Genderdisparitiespersist,withjust25%ofwomen-ledsocialenterprises
usingAIcomparedtohalfinthebroadersector.Ethicalandequitychallengesalsoemerged.Forexample,mostcommerciallyavailablemodelsaretrainedondatafromhigh-incomecountries,deliveringsub-parresultsforlow-andmiddle-income
countries.AIforImpact:ThePRISMFrameworkforResponsibleAIinSocial
Innovation5SocialinnovatorsapplyingAIandimpact
domainsFIGURE
22%Healthcare28%Environment21%Economicempowerment16%Technology8%Securityandjustice5%Publicandsocial
sector5%Equalityandinclusion2%Education8%Informationverificationand
validation2%Infrastructure5%Crisisresponse1%Socialimpact
domainSocialinnovatorsdeployingAIby
genderAIforImpact:ThePRISMFrameworkforResponsibleAIinSocial
Innovation6FIGURE
333%31%
26%26%18%15%0%
5%
10%15%20%25%30%35%OceaniaAsiaAfricaNorth
AmericaEuropeLatin
AmericaWomanfounderorchiefexecutive
officerOverallaverageofwomen-led
enterprisesAIinitiativesby
typeFIGURE
4Partners,
networksand
acceleratorsConferenceOpenplatform,researchand
dataAI
educationToolkitGrant/rewardprogramme0%10%20%30%50%40%
43%19%18%7%6%6%ThispaperbuildsonpreviousinsightsandframeworkssuchasthePresidioFrameworkbytheWorldEconomicForum’sAIGovernanceAlliancetohighlightavenuesforbroaderAIadoptionamongsocialinnovators.Itcombinesdatafrom
previousstudieswithinsightsfrom22in-depthinterviewsandinteractiveworkshopswithsocialinnovatorsandtechleaders,highlightingthenuanceddecision-makingprocessesinAIdeploymentandtheongoingchallengesfacedbysocial
innovators.Image
credit:SAS
BrasilAIforImpact:ThePRISMFrameworkforResponsibleAIinSocial
Innovation7Pathwaysfor
adoption:ThePRISM
Framework1Buildingonexistingconcepts,thePRISMFrameworkguidestheresponsibleadoptionofAIfor
impact.TheApril2024AIforImpact:TheRoleofArtificialIntelligenceinSocialInnovationreportemphasizeshowsocialinnovatorsareleadinginAIadoption,notablyinprojectslikeSASBrasil’scervicalcancerscreeningandHighResolves’sinitiativesinAI-aidededucationdespiteconnectivitychallenges.ThissecondpaperusestheirexperiencestoillustratehowAIcandrivesocialandenvironmentalbenefits.Itsynthesizesinsightsfrom300socialinnovatorsandexpertinterviewsintothePRISM
Framework,aguidetoimplementingAIiteratively,responsiblyand
effectively.Thefindingsencouragesocialinnovatorstostartsmallandexecutelow-cost/low-riskimplementationwhenfirstapproachingAIusecases.ItstressesthatsocialinnovatorsandconventionalcompaniesalikeneedtoconsidertheirorganizationalreadinesswhendesigningAIimplementation,as
internalpreparednessoftenoutweighstechnologicalanddataconsiderations.Theframeworkhighlightsadoptionpathwaysbasedonorganizationalreadinessandrelevantcapabilitiesandriskslinkedtothesepathways.TheframeworkalignswithotherconceptslikethePresidioFrameworkbytheWorldEconomicForum’sAIGovernanceAlliance,which
supportsorganizationsinresponsiblyenhancingproductivityandredefiningindustriesthroughAI.ThePresidioFrameworkstartsbyidentifyingandfilteringthebestgenerativeAIusecasesalignedwithstrategicobjectivesandfunnelsthemthroughthreecommonevaluationgates–businessimpact,operationalreadinessandinvestmentstrategy.Theseevaluationgatesaredesignedtobeappliedinanysequenceand
iteratively.ThePresidioFramework:Funnellingusecasesthroughevaluation
gatesAIforImpact:ThePRISMFrameworkforResponsibleAIinSocial
Innovation8FIGURE
5FilterthebestIterateontherestIdentify
generativeAIuse
casesBusinessimpactOperationalreadinessInvestmentstrategyFunnelthroughevaluation
gatesScale
andtransform123Funnelingusecasesthroughevaluation
gatesThePRISMFrameworkbuildsonthePresidioframework.Ithighlightshowdifferentadoptionpathwaysareinterdependentwithdifferentlevelsoforganizational,technologicalanddata
readiness.Italsoemphasizestheneedforalignmentwithanorganizationsimpactambitionateverystage(seeFigure6).Ithighlightsthatsocial
innovatorsare,bynature,impact-firstorganizationsandtheirconsiderationofstrategicalignment(asoutlinedintheframeworkbytheAIGovernanceAlliance)goesbeyondbusinessalignment.Their
considerationsprioritizeimpactandalsoincludecorevaluesandethicalprincipleswhenapplyingAI(suchasprioritizingcommunityvoicesinthedesignofsolutions).Thatmaynotalwaysbeanextensive,highly
designedandresource-intensestrategyprocessbutratheraconstantreconciliationofplannedusecaseswithimpactobjectives(e.g.earlyengagement
ofcommunitiesinproduct/servicedevelopment,dataownershipamongbeneficiariesortheprohibitionofdecision-makingwithouthuman
involvement).1.1 ThePRISM
FrameworkThePRISM
FrameworkFIGURE
6Image
credit:
EducationforEmploymentImpactmissionLayer
1:Impactmissionand
strategyLayer
2:Adoption
pathwayLayer
3:Capabilitiesand
risksEthicsDataBusinessand
organizationTechnologyMetricsand
costs1Tinkering2Value3
Efficiency4Delivery5Coreasset6
AI-firstAIforImpact:ThePRISMFrameworkforResponsibleAIinSocial
Innovation9Thesecondlayerhighlightsthe
different
adoption organization’smaturity,startingwithlow
investmentpathways.Innovatorsmay
choose
different andlowriskimplementation.Theexamplesbelowpathwaysdependingontheirreadiness
for
AI, illustratethesepathwaysbasedonconcretecasewhichwillevolveovertime.It
showcases
different studiesfoundinthedatasetandinterviews.approachestoAIimplementationdependingon
theTABLE
1Socialinnovatorexamplesofadoption
pathwaysAdoption
pathwayFocusExampleConscious
tinkeringSimple,low-riskimplementationleveragingoff-the-shelf
solutionsInternalAshoka:TheorganizationstarteditsadoptionofAIwithexperiments,leveragingopen-sourceAIcapabilities,todevelopdifferentinternaltoolswhileinitiallykeepingtheriskprofilelow.Forexample,theorganizationanalysesthetranscriptsofitsboardmeetingsthroughamulti-queryprocesswithChatGPT-4Turbotoproviderecommendations
for
process
improvements
and
implementation
of
new
AI
tools.Proofof
valueImplementationoftoolswithsignificantefficiencygainsornewinsights,demonstratingthevalueofAItothe
organizationInternalAshoka:Forpromisingapplications,AshokasetsouttoproveAIvaluetotheboardandstafftoencouragewidespreadinternaluse.Forexample,AshokahasleveragedAItoanalysequalitativeinsightsfromitsinternaldatabaseofsocialinnovators(changemakers).Thatway,itwasabletohighlightopportunitiesfornewpartnershipsbetweenthemandcollectiveactionasacommunityatanypointintime.ItalsocreatedthefoundationforamorediverseAIportfolio,whichnowcounts21
applications.Efficiency
enhancementStructuredadoptionofAItoolswithintheorganizationtostreamlinecore
processesInternalEducationforEmployment(EFE)promotesacultureofAIusebyemployeestosavetimeandimproveinternalefficiencyindepartmentssuchasmarketingandgrantwriting.AItoolssuchasMicrosoftCopilothasenabledteammemberstosaveanestimated10-20%(about1to3hours)intimeversusiftheyhadnotusedAIatall.Inotherinstances,theorganizationhasdeployedAIwebscrapingtoolstopredictjobtrendsandinforminternal
strategy.Delivery
improvementsImplementAIwithexternallyfacingprocessesandstaff,improvingproduct/serviceexperienceand
impactExternalLifeBank’sadoptionofAIhasenabledthecompanytoleapfrogbarrierspresentedbysupplychaincapitallimitations.TheenterprisedevelopeditsproprietaryAItoolsforsupplychainmanagementandtomanagelast-milepayments.It’sAI-poweredbrainbox,Light,communicateswithhealthcareworkersatthelast-mile,improvingsupplychainefficiencybyreducinghumanerrorsin
decision-making.AIasacore
assetLeveragingAItodevelopnewsolutionsandservicestoachievetheimpact
objectiveExternalSASBrasilisseekingtodevelopanAI-enableddiagnostictooldrawingonlarge-scalecervicalcancerdatasetstoimprovehealthcareoutcomesforwomeninvulnerable
communities.AI-first
organizationOrganizationaltransformationtobecomedata-driven
andAI-enabledinalmosteveryofferingand
serviceExternalGeekiemadethedecisiontobecomeatechnologyorganizationtofullyleverageAI
foreducation.Ittransformeditsbasicofferingtobefree-of-chargetobeabletogatherdataatscaleandbuildAImodels.Ittransformeditselftoembedtechnologyintoeveryfacetoftheorganization–fromtrainingplanstosuggestionsforremedial
work.AIforImpact:ThePRISMFrameworkforResponsibleAIinSocialInnovation 10userid:549683,docid:171458,date:2024-08-14,AIusecasesamongsocial
innovatorsFIGURE
754%30%12%5%0%10%40%50%60%AddingAIintocoreproduct/servicesNewAIproducts/servicesandbusiness
modelsUsingAItodeliverimpactnotpreviously
scalableUsingAItoimproveinternaloperationsandprocessesinternallyAIimplementations
insights20% 30%Amongthe300AIinsocialinnovationusecases,mostinnovators(54%)leveragedAItoenhanceproductofferings(3.efficiencyor4.delivery),30%createdentirelynewproductsorservicesand12%leveragedAItounlockscalefortheirsolutions(5.coreasset),5%leverageditforinternalprocesses(1.tinkeringand3.
efficiency).WhenimplementingAIacrosstheadoptionpathways,differentcapabilitiesandrisksareconsideredwithvaryingintensity.ThisisdescribedinthethirdlayerofthePRISM
framework:1.Ethics:Beyondtheconsiderationofgeneralvalues,principlesandtheimpactmissioninlayer1,thiscapabilityandriskconsiderationincludeselementssuchasconsideringbiasinAImodels,ensuringtransparencyofdecision-making,accountabilityforthedecisionsmadeandintegratingethicalAIasabusinessprincipleintotheorganizationatalaterstageoftheorganizational
deployment.2.Data:DatastrategiesmaybeappliedindifferentfacetsduringtheimplementationofAI,includingananalysisofexistingdataassets,thecleaningandpreparationofdata,managingdataintakeaswellasdataprivacyconsiderationswhenusingdata–especiallyinhighlysensitiveimpactareassuchas
healthcare.3.Businessandorganization:OrganizationalreadinessisakeycomponentofimplementingAI.ThismayincludesettingaclearvisionandleadershipfortheuseofAI(especiallywhenleveragingAIasacoreassetortransformingtheorganizationtoanAI-firstorganization),acontinuouslearningstrategy,thedevelopmentofskillsandtalentaswellaschangemanagementandthedevelopmentofanAIordataculture.Forsocialinnovators,stakeholdermanagementisparticularlyimportanttocreatethenecessarybuy-inandtrustamongkeyconstituents.4.Technology:Manysocialinnovatorsstrugglewiththeidentificationoftherighttechnologyfortheirusecases.Inearlyadoptioncases,socialinnovatorsmaysimplyapplyoff-the-shelfsolutionswithlowimplementationcomplexityandcosts.Lateron,modelcomplexity,theneedforreinforcementtraining(especiallyforusecaseswiththeneedforcontextual
data),interoperabilitywithecosystemactorsorinternetaccessissuesmaysurfaceas
well.5.Costsandmetrics:GiventhebroadavailabilityofAItechnology,costsarenotmuchofanissueinearlystagesofAIadoption.Thenumberofrequestswithanapplicationprogramminginterface(API)remainslow,datavolumestendtoberestrictedandorganizationalreadinessmaynotneedtobeconsidered.Butinlater-stageimplementations,variablecostsquicklyrampupandindirectexpensesmounttoensurethatAIimplementationsremainimpactfulandethicallyresponsible.Socialinnovatorsmayneedtoconsiderandmonitorcoststhat
arenotlimitedtosoftwareorlicensingfeesbutalsoincludedataacquisition,datapreparationorhardwarecosts.Thefollowingsectionexplorestheabove-mentionedcapabilitiesandrisksinmoredetail.ThePRISMFrameworkoffersamodularapproachtoconsideringtheimplementationofAIfor
impact.Ononeendofthespectrum,socialinnovatorswithstrongorganizationalreadiness–solidinternalAIskillsandcapabilities,ahealthyenterprise-wideattitudetothetechnologyandacleararticulationandunderstandingoftheirdataassetsandethicalconcerns–mayapplycapabilitiesandmanagerisksacrosstheentiretyoftheframework.Organizationsthathavenotbuiltsuchinternalcapabilitiesmayleveragethetechnologytotinkerand
thereforeusealow-riskentrancepointtoimplementthetechnologyatlowcostandwithminimalimpactonthebusinessstrategicgoalsandethical
concerns.AIforImpact:ThePRISMFrameworkforResponsibleAI
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