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AIforAll

WorkforceSkillingPolicyToolkit

PublishedFebruary2026

CONTENT

1

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2

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3

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4

.

5

.

6

.

Introduction

Pillar1:IdentifytheskillsneededforAI

Pillar2:Assessgapsinskillingecosystems

Pillar3:Developandimplementaworkforceskillingroadmap

Pillar4:MonitorandevaluateprogressCaseStudies

3

12

28

38

52

59

Authoredby

AVPNisthelargestnetworkofsocialinvestorsinAsia,

comprisingover600fundersandresourceprovidersacross33markets.Ourmissionistoincreasethe?owande?ectivenessof?nancial,human,andintellectualcapitalinAsiabyenabling

memberstochannelresourcestowardsimpact.Asanecosystembuilder,AVPNenablesitsmemberstoconnect,learn,act,and

leadacrosskeypillarsandimprovethee?ectivenessofdeployedcapital,bringinglocal?eldneeds,regionalexpertise,andpolicyinsightstotheforefront.

FormoreinformationaboutAVPNandourwork,pleasevisitourwebsiteandreadourlatest

AnnualReview2024/25

.

AccessPartnershipistheexpertglobaladvisory?rmacceleratinginnovationthroughstrategy,analysis,publica?airs,and

communications.Weworkwithbusinesses,governments,and

multilateralinstitutionstounlocknewmarkets,drivecommercialsuccess,andcreatesolutionsthatadvancehumanity.We

combineon_the_groundexpertiseacrosseveryregionwithdeepspecialism,lettingusgobeyondconventionalconsultingto

designandexecutebold,end_to_endstrategiesthathelpourclientsscaleanddelivermeaningfulimpactforsociety.

FormoreinformationaboutAccessPartnership,pleasevisit

our

website

.

AbouttheToolkit

Thetoolkitidenti?escriticalpolicyprinciplesandpracticalguidanceforpolicymakersandkey

stakeholderstostrengthenAIlearningsystemsandemployabilityacrosstheAsia-Paci?cregion.

Mappedacrossfourpillars,theframeworkunderpinningthistoolkitguidespolicymakersin

de?ning,classifying,andidentifyingtheskillsneededforAI;assessexistinggapsinskilling

ecosystems;designingandimplementinganactionableworkforceskillingroadmap;andmonitorandevaluateprogressofitsskillinginitiatives.Progressionpathwayshavealsobeendevelopedforeachpillar,promptingpolicymakerstoassesstheirrelativestageofprogresswhileidentifyingnextstepstoscaleandsustaine?ectiveandtargetedAIskillinginitiatives.Thereportconcludesby

applyingthisframeworktothreecountriesinthecasestudysection,illustratinghowdesignprinciplescanbetranslatedintopolicyactionfore?ectiveAIskilling.

Informationiscurrentasof31December2025,unlessotherwisestated

Acknowledgements

ContributingOrganisations

AIAsiaPaci?cInstituteCoursera

DigitalAsiaHub

FutureWorkGroupH&MGroup

ICDLThailandIvesTay&Co

Authors

Microsoft

NationalUniversityofSingaporeOrganisationforEconomic

CooperationandDevelopment(OECD)

SasinSchoolofManagementTechforGoodInstitute

UniversityofMelbourne

UniversityofNewSouthWales

TristanAce,ChiefEngagementO?cer,AVPNEvelynWong,PolicyDirector,AVPN

GayathriHaridas,AssociateDirector,AccessPartnership

LennonGoh,Consultant,AccessPartnershipYuJingKew,Consultant,AccessPartnership

JointForeignChambersofCommerce,Thailand

ExecutiveSummary

Introduction

TheadventofAIhasbroughtaboutsigni?cantbene?tsacrossgovernments,

industries,andindividuals.ThedeploymentandintegrationofAIintoexisting

workstreamscantransformdailyoperationsofindividuals,whiledrivingproductivitygainsacrossthepublicandprivatesector.

Thesebene?tscanonlyberealisedifindividualsareempoweredtocapturetheAIopportunity.Toe?ectivelyadoptAI,individualsmustbeequippedwiththeskillsto(i)useAIethically,responsibly,andsustainably;(ii)mitigateAI-associatedrisks;and(iii)engagee?ectivelywithAIsystems.

Forward-lookingpolicyframeworksarecriticalinfosteringanenablingenvironmentforthedevelopmentofskillsneededforAI.InsupportoftheAVPNAIOpportunity

Fund,theAIforAllWorkforceSkillingPolicyToolkitaimstofostercollaborationandsharebestpracticesamongpolicymakersandkeystakeholderstowardsimprovingAIlearningoutcomesandemployability.

AIForAllWorkforceSkillingPolicyToolkit

TheAIforAllWorkforceSkillingPolicyToolkitaimstoequippolicymakersandkeystakeholderswithcriticalpolicyprinciplesandpracticalguidancetostrengthenAIlearningsystemsandemployabilityacrosstheAsia-Paci?cregion.

Thetoolisbuiltaroundtwocomplementarybuildingblocks:

a)AIforAllWorkforceSkillingPolicyFramework

Providesastructuredpolicyframeworkthroughfourpillarstoguidethe

designanddevelopmentofnationalandsectoralskillinginitiativesacrosstheAPACregion

b)AIforAllWorkforceSkillingCaseStudies

Showcasespracticalexamplesthatreflecttheidentifiedpolicyactions,servingasaresourceforgovernmentsandkeystakeholderstoguidetheimplementationofAIskillingprograms

Thetoolkitbuildsoninsightsfromthe

AIforAll:BuildinganAI-readyWorkforceinAsia-Paci?creport

(“AIforAll

landscapereport”)*,translatingthedesignprinciplesidenti?edformoree?ectiveAIskillinginitiativesinthereport,intoactionablepolicyconsiderationsandimplementationpathwaysthatcanbeundertakenthroughtheskill

.

developmentcycle

*NOTE:TheAIforAll:BuildinganAI-ReadyWorkforceinAsiaPaci?c(2025)isaresearchreportproducedpartoftheAIOpportunityFund:AsiaPaci?c,thatidenti?espriorityworkforcesegmentswhostandtobene?tmostfromtargetedAIskillingando?ersdesignprinciplesformoree?ectiveAIskillinge?orts.

HowtonavigatethisToolkit

QuickLink

YourObjective

ToharmoniseapproachesinidentifyingcriticalAIskillsacrosskeysectorsandthewider

economy

》》

Pillar1:Identifytheskillsneededfor

AI

Pillar2:Assessgapsinskilling

ecosystems

Pillar3:Developandimplementa

workforceskillingroadmap

Pillar4:Monitorandevaluateprogress

a)AIforAll

WorkforceSkillingPolicyFramework

TogaindeeperinsightintolabourmarketneedsandAIskillinggapsintheworkforce

》》

ToensureacoordinatedandconsistentapproachacrossAIskillinginitiatives

》》

Toensurethecontinuede?ectivenessandrelevanceofAIskillinginitiatives

》》

Toenhanceimplementatione?ectivenessacrossAIskillinginitiatives

》》

Casestudies

b)AIforAllWorkforceSkillingCaseStudies

AIforAll

Workforce

SkillingPolicyFramework

AIforAllWorkforceSkillingPolicyFramework

Giventhefast-evolvingnatureofAI,theAIforAllWorkforceSkillingPolicyFrameworksetsouttoensurethat

skillinginitiativesare?exible,receptivetoemergingneeds,andfuture-proof.Thisacknowledgementisechoedbyindustry,academia,andpublicsectorstakeholdersengagedduringtheframework:

“WiththeonsetofAI,skills

requirementsarechangingveryfast.Wemustnotlockourselvesintoarigidroadmap,norupdateskills

taxonomyonlywhentheneedarises.”

Keyissue#1:

AIisevolvingfasterthancurrentskillinginitiativescankeeppace

“Theco-developmentofskillinginitiativeswithindustryplayersis

criticalininforminguswhatboththepublicandprivatesector

requires.”

Keyissue#2:

EvolvingnatureofAIcontinuallyreshapessectoralandbusinessusecases

“Financialincentivesareofteninsu?cientinencouragingbroaderAIadoption.Weneedtoimproveaccesstotraining

initiativesandcloseralignthevalueofAIskillingwithvariedpriorities.”

Keyissue#3:

CurrentAItrainingprogramsoftenfallshortintermsof

accessibilityandrelevance

Source:AccessPartnershipheldstakeholderconsultationswithindustry,academia,andnon-pro?torganisationsoverJuneandJuly2025.

AIforAllWorkforceSkillingPolicyFramework

ObjectivesandPrinciples

Againstthisbackdrop,theobjectivesoftheAIforAllWorkforceSkillingPolicyFrameworkareto:

Identifyessential,?t-for-purposeAIskillsneededtoadapttoevolvingjoblandscapes;

Establishatailoredapproachtowards

developingskillinginitiativesforsectoralanddemographicgroups(e.g.,Micro,Small,andMediumEnterprises(MSMEs));

DesignactionableandagilestepstobuildAIcapabilitiesatscale

》》

》》

》》

Toachievetheseobjectives,theframeworkwillbeunderpinnedbythefollowingprinciples:

Collaborationacrossacademia,industry,andgovernmentstakeholderstoidentifyanddeliveressential,?t-for-purposeAIskills

Fosterbroad-basedparticipationbyadoptingvariousoutreachstrategiesthataretailoredtotheneedsandinterestsofvariousdemographicgroups

Adaptabilitytoensurethatskillinginitiativesareagiletoevolvingindustryandtechnological

trends

AIforAllWorkforceSkillingPolicyFramework

4KeyPolicyPillars

TheAIforAllWorkforceSkillingPolicyFrameworksetsouttoachievetheobjectivesthroughaniterative,?uidprocess.Whilethe

frameworkrepresentsaninitialstartingpointforpolicymakerstobegintailoringskillinginitiativestowardAIskilling,itisintendedtobealivingdocumentthatiscontinuallyadaptedtonationalneedsandpriorities.

1

IdentifytheskillsneededforAI

Developaskillstaxonomythatenablespolicymakerstode?neandclassifyskillstransformedbyAI;and

IdentifyemergingAIskillsthatalignwithnationalandsectoralpoliciesandpriorities

4

Monitorandevaluateprogress

Identifyanddevelopkeyperformanceindicators(KPIs)aspartoftheMELapproachtocontinuouslyre?netheframework

Develop&Implement

IdentifyAssess

Monitor&Evaluate

2

Assessgapsinskillingecosystems

Conductagapassessmenttoidentifygapsinexistingskillingprograms,ensuringthatfutureskillingprogramsremaintargeted

3

Developandimplementaworkforceskillingroadmap

DesignanactionableAIworkforce

skillingroadmap,prioritisingthekey

actionstobetakenbyvariousstakeholders

AIforAllWorkforceSkillingPolicyFramework

3ProgressionPathways

Recognisingthatcountriesareatdi?erentstagesofdevelopmentalongeachpillar,threeprogressionpathwayshavebeendevelopedtore?ecttheirvaryinglevelsofreadinessateachpillar:

?Startingaction:AimedatestablishingfoundationsforAIskillingecosystemscurrentlyataformativestage

?Scalinge?orts:BolsteringcoordinationandprocessesforAIskilling

ecosystemswheree?ortsareunderway

?Sustainingimpact:Enhancing

institutionalproceduresforcountrieswithestablishedAIskillingprocessesinplace,forcontinuousimprovement

Countriescanself-assessagainsttheseguidingstatementsineachpillar,to

identifytheirstageofdevelopment

(“Currentstate”)andhowtheycanbestapplytheFramework(“Apply”)todesign,scale,andsustainAIskillinginitiatives.

Pillar1

Pillar1:IdentifytheskillsneededforAI

Pillar1setsouttodevelopaskills

taxonomyby:

De?ningandclassifyingessentialskillsforAI;and

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

Policymakers

Nationally,policymakersprovideaneconomy-widelevelassessmentofessentialandemergingAIskills,providehigh-levelstrategicguidanceforthegeneralpopulation,sectoralbodies,andwiderindustry

Sectors

Consistentwithnationalstrategies,sectorstailorthetaxonomiesandshortlistedskillstotheirowncontexts,

incorporatingsector-speci?corrole-speci?ccompetencieswhereapplicable

TransitionalskillsEnablingskillsEmergingskills

SkillsthataredeclininginimportanceduetobeingextensivelyimpactedbyAI

Skillsthatwillcontinuetobeessentialinthefuture,with

minimalormoderateAIimpact

NewskillsthataredirectlyrelevanttoAI,madecriticalthrougheconomicshifts

Thetaxonomywillenable

policymakersto:

?Identifysectors

wherereskillingneedsareurgentduetohigherriskofautomation

(transitionalskills)

?Identifykeyskillsacrosssectorsthatarecriticalto

harnesstheAIopportunity

*NOTE:TheAIforAll:BuildinganAI-ReadyWorkforceinAsiaPaci?c(2025)isaresearchreportproducedpartoftheAIOpportunityFund:AsiaPaci?c,thataimstoidentifydesignprinciplesformoree?ectiveAIskillinge?orts.

Pillar1:IdentifytheskillsneededforAI

De?ningandclassifyingessentialskillsforAI

Extensionof?ndingsfromtheAIforAlllandscape

report:

Prior,the

AIforAlllandscapereport

*hadidenti?edroletransformation,skilladaptation,andtheneedforaccessiblesystemsasfactorsthatwillin?uenceAI’simpactontheworkforce.Correspondingly,variousdemographicgroupswouldbeimpactedbyAIdi?erently:

Withroletransformation,160skillshavebeenidenti?edtolikelybetransformedbyAIinthe

landscapereport

-acrossanalyticaland

technicalskills,administrativeandpracticalskills,strategicandcreativeskills,andrepetitiveandspeci?cskills.

Asanextensionofthese?ndings,Pillar1buildsonthisclassi?cationtoevaluatetheextenttowhicheachskillwillbea?ectedbyAIbasedontheirrespectiveworkactivities,furthercategorisingthemaccordingtotheirdegreesofrelevance.

Thisclassi?cationallowspolicymakerstogaininsightsontheskillingneedsofjobfunctionsthataresigni?cantlydisruptedandtoprioritiseskillinginvestmentsaccordingly.

*NOTE:Fullmethodologyisavailableinthe

Appendix

.

Pillar1:IdentifytheskillsneededforAI

De?ningandclassifyingessentialskillsforAI

Themethodologyoutlininghowtoidentifyandorganisethe160skillstransformedbyAIissummarisedasfollows:*

3

Skillsfromtheskills

taxonomydeveloped

fortheAIforAllreportaremappedtotheirtopworkactivities

(maximumof3)

2

Workactivitiesare

sortedintodi?erent

categoriesofAIimpactbasedontheshareofspeci?cactivities

a?ectedbyAI

1

Ground-upassessmentoftheexpectede?ectsofAIontheundertakingofspeci?cwork

activities

4

Skillsaremappedto

theirrelevanteconomicsectors

Transitionalskills

Pillar1:IdentifytheskillsneededforAI

De?ningandclassifyingessentialskillsforAI

Implications

?Theproportionofskillsineachsector

thatfallsundertransitionalskills

informswherereskillinge?ortswouldbemosturgent(i.e.,whereAIwillhavethelargestdisruptiveimpacts)

?Skillinge?ortsandinitiativesneedtoshiftawayfromtrainingfortransitionalskills,andtowardstrainingforenablingskills

ThesectoralskillsarethensortedintotwocategoriesbasedontheirAIimpact:

SkillswithcompetencyareasthataredeclininginrelevanceduetobeingextensivelyimpactedbyAI

Reskillingeffortsarecriticalin

pivotingworkerstoothercriticalcompetencieswithintheskillsets,jobfunctions,orsectors

Enablingskills

Skillswithcompetencyareas

continuetobeessentialinthefuture,withminimalormoderateimpactbyAI

Workersmustcontinuetohonetheseskillssothattheycan

continuetoperformtheirjobfunctions

Source:Workday,WorldEconomicForum

Pillar1:IdentifytheskillsneededforAI

De?ningandclassifyingessentialskillsforAI

Enablingskills

Skillsthatdemonstratehuman-centredabilitieswillbecriticaltoworke?ectivelyalongsideAI.Enablingskills–whilenon-exhaustive–canlargelybeconceptualisedacrossthefollowing

tenets:

Interpersonalcompetencies

(e.g.,e?ective

communication,teamwork,leadershipskills,empathy

Buildstrustandfosterscollaborationtoovercome datasilosandemployAIe?ectivelyandinnovatively

Self-e?cacycompetencies

(e.g.,adaptability,resilience,

?exibility,curiosity)

Abilitytodriveindividualsto

continuallyupskill

themselvesandadaptto

evolvingskillneeds

Cognitivecompetencies

(e.g.,ethicalandmoraljudgment,criticalthinking,creativity,designthinking)

Abilitytointerpret,perceive,

andevaluateAIoutputsto

ensureaccuracy,

consistency,andalignment

withsocietalvalues

Skillsthatwillcontinuetobeessentialinthefuture,withminimalormoderateimpactbyAI

Workersmustcontinueto

honetheseskillssothattheycancontinuetoperformtheirjobfunctions

Pillar1:IdentifytheskillsneededforAI

De?ningandclassifyingessentialskillsforAI

Nationally,policymakerscanspearheade?ortsinidentifyinghigher-leveltransitionalandenablingskillstoprovidestrategic

directioninalignmentwithnationalpriorities.Someexamplesoftransitionalandenablingskillsthathavebeenwidelyidenti?edacrosstheliteratureinclude:

The

AIforAlllandscapereport

identi?esskillssuchas

operationaldexterity,operationandmaintenance,andqualitycontrolareamongskillsthat

couldbesigni?cantlyimpactedbyautomation.

Transitionalskills

Enablingskills

?Manualdexterity

?Equipmentoperationandmaintenance

?Inventorymanagement

?Communicationandteamwork

?Criticalthinkingskills?Designthinkingskills

?TheWorldEconomicForum’s

FutureofJobsReport2025

?ndsthatsevenof10employers

identifyanalyticalthinkingskills,tobethetopcoreskill

?Expertshighlightthecontinuedrelevanceofinterpersonal

skillsincontributingtoanagileandcollaborativeworkforce

Exampleofstrategicguidanceissuedbypolicymakers:

JobsandSkillsAustraliahasundertaken

astudy

toevaluatetheongoingneedsinskillingandtrainingcurriculumsamidst

Australia’sshifttoanAI-driveneconomy.Inparticular,non-digitalenablingskillssuchascriticalthinking,communication,andadaptabilityhavebeenidenti?edtoremainvaluableinapplyingjudgmentinoverseeingAI-generatedoutputs,and

adapttotheevolvingexpectationsofthelabourmarket.

Pillar1:IdentifytheskillsneededforAI

De?ningandclassifyingessentialskillsforAI

Ultimately,greatergranularityandtailoringofessentialskillsneededforAIwithineachsectorwouldneedtobedrivenbysectorale?orts.Anon-exhaustiveexamplefortheagriculturesectorisprovidedbelow:

Theautomationoflivestock

healthmonitoringinagriculture

Livestockhealthmonitoringusuallyinvolvesreal-timemonitoring,

inspection,anddocumentationofinformation.Solutionssuchas

AI-enabledInternetofThings(IoT)sensorsandmachinelearninghelptoautomatelivestockmonitoringthrough:

?Detailedsensorsthattrackanimalhealthandpatterns;

?AIanalysisoflivestockfootageorsensordatatoidentifysignsofillnessesorstress

Transitionalskills

Enablingskills

?Inventorymanagement?Irrigationmanagement

?Livestockhealthmonitoring

?Communicationandcoordinationwith

colleagues

?Processmonitoringandoptimisation

Skillinginitiativesshould:

?Pivotawayfrommanualcompetenciesofagriculturaljobscopesthatareincreasinglyautomated

?Bettertargetthedevelopmentoftransferableor

non-replaceableskills(thatcanenableuserstoworkwithAI)

Thecontinuedrelevanceofprocessmonitoringand

optimisation

WhileaspectsofprocessmonitoringandoptimisationcanbeautomatedbyAIsystems,thefollowing

AI-agnosticworkactivitiesremaincriticaltoensurerobustnessofprocesses:

?Ensuringdataqualityandintegrity

?StrategicjudgmenttointerpretAIoutputs

?Evaluateexistingprocessesandestablishingfeedbackloops

*NOTE:TheAIforAll:BuildinganAI-ReadyWorkforceinAsiaPacific(2025)isaresearchreportproducedpartoftheAIOpportunityFund:AsiaPacific,thataimstoidentifydesignprinciplesformoreeffectiveAIskillingefforts.

Pillar1:IdentifytheskillsneededforAI

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

Extensionof?ndingsfromtheAIforAlllandscapereport:

Skilladaptationrepresentstheneedforindividualstoacquirethe

knowledgeandcapabilitiestoeffectivelyleverageAItechnologiesinsupportoftheirexistingjobfunctions.

DrawingfromthefindingsoftheAIforAlllandscapereport,Pillar1definesandidentifiesthevariousformsofemergingAIskillsthatwouldbeessentialforindividualsincapturingtheAIopportunity,underitsemergingskillscategory.

Prior,the

AIforAlllandscapereport

*hadidenti?edroletransformation,skilladaptation,andtheneedforaccessiblesystemsasfactorsthatwillin?uenceAI’simpactontheworkforce.Correspondingly,variousdemographicgroupswouldbeimpactedbyAIdi?erently:

*NOTE:AIimpactreferstohowthewidespreadadoptionofAIreshapestheimportance,application,orcontextofaskill.

Pillar1:IdentifytheskillsneededforAI

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

AftercategorisingskillsbasedontheirextentofAItransformation,theskillstaxonomyfurtheridenti?esemergingskills.Asastart,severalemergingskillshavebeenidenti?edbasedonthoseprioritisedinnationalskillingroadmapsandinternationalbestpractices.

Enablingskills

Transitionalskills

Skillsthatwillcontinuetobeessentialinthefuture,with

minimalormoderateAIimpact

Newskillsthataredirectly

relevanttoAI,madecritical

througheconomicshifts(e.g.,promptengineering,AIauditing)

Emergingskills

SkillsthataredeclininginimportanceduetobeingextensivelyimpactedbyAI*

Workersmustcontinuetohonetheseskillssothattheycan

continuetoperformtheirjobfunction

Upskillingofindividualssothattheyarebetterequippedto

capturetheAIopportunity

Workersshouldpivottoothercriticalskillsetswithinsector

Newskillsthataredirectly

relevanttoAI,madecritical

througheconomicshifts(e.g.,promptengineering,AIauditing)

Upskillingofindividualssothattheyarebetterequippedto

capturetheAIopportunity

Pillar1:IdentifytheskillsneededforAI

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

EmergingAIskillsshouldbeidenti?edandcategorisedbasedonthreemainlevelsofAIcompetencytoenabletieredlearningandprogressionacrossjobfunctionsandscopes(OECD):

Emergingskills

123

BasicAIliteracy

encompassesfoundationalconceptsforgeneral

audiences,suchas:

?Craftinge?ectivepromptsingeneratingaccurateandrelevantresponses

?UsingAIethically,

responsibly,andsustainably

?Recognisinghallucinations,bias,andinaccuraciesinAI

?SafeguardingandmitigatingAIrisksandbiases

AItoolsandapplications

involvetheuseandpracticeofAItoolstoenhance

productivity:

?Interacte?ectivelywithAIsystemsbycraftingAI

promptsforspeci?c

functionsandpurposes

?IntroductionofAItoolsandplatformsfor

businessneedsandproductivity

Policymakersshouldprovidestrategicguidanceon

fundamentalAIliteracyskillsandapplications(see

slide

77)

AdvancedAI

competenciesthataretailoredtosectoralandrole-speci?cneeds:

?AdvancedAIskills(e.g.,naturallanguage

processing,deep

learning)thatcancutacrossdisciplines

?ApplicationofAIwithinspecialisedtechnical

?elds,e.g.,?nancialmodelling,healthcare

SectoralinsightsshouldinformthedevelopmentofadvancedAIskills

SOURCE:OECD(2025),BoostingProductivityandBusinessGrowth:TheRoleofArti?cialIntelligenceSkills.

Pillar1:IdentifytheskillsneededforAI

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

Exampleofoverarchingguidanceprovidedonanationallevel:

Basedonpre-identi?ednationalpriorities,policymakerscanprovidestrategicguidanceonemergingAIskills.Someexamplesinclude:

Transitionalskills

?Manualdexterity

?Equipmentoperationandmaintenance

?Inventorymanagement

Enablingskills

?Communicationandteamwork

?Criticalthinkingskills

?Designthinkingskills

Emergingskills

Japanhascontinuallyrea?rmedits

commitmenttoensuringthe

responsibleadoptionanddeploymentofAI,markedbythepublicationofthe

SocialPrinciplesofHuman-CenteredAI

since2019.

TheprioritisationofresponsibleandethicaluseofAIhasalsosincebeenincorporatedinits

DigitalSkill

Standards

fordigitaltransformationpractitioners.

Moredetailscanbefoundinthecasestudysection(

slide83

).

?KnowledgeofAIanditsrelevantapplications

?Awarenessof

AI-associatedrisks·(e.g.,ethical,

operational,security)

Pillar1:IdentifytheskillsneededforAI

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

Thelistofemergingskillsshouldalsobetailoredtosectoralneedsinalignmentwithlonger-termsectoralstrategies.Forexample,Australia’sAIActionPlan(2021)embodiesseveralsectoralpriorities,includingthe

NationalAgriculturalWorkforceStrategy

.

Transitionalskills

Enablingskills

Emergingskills

Bene?ttopolicymakers

?Inventorymanagement

?Irrigationmanagement

?Livestockhealthmonitoring

?Processmonitoringandoptimization

?Resourceallocationandoptimization

?Decisionsupportsystemsforirrigation,pestmanagement

?Programmingautonomousfarmequipment

?Precisionfarminganddecision-making

Throughthistaxonomy,

policymakerscangaininsightson:

?Skillrequirements

contextualisedtotheneedsoftheeconomy,withshort-termandlonger-termnationalandsectoralprioritiesbuiltintoitsconsideration;and

?AprioritisedlistofAI-enabledskillsforeachsectorand/ordemographicgroup

Skillinginitiativesshould:

?Pivotawayfrommanualcompetenciesofagriculturaljobscopes(e.g.,documenting/recordinginformation;visualexamination)thatareincreasinglyautomated;

?BettertargetthedevelopmentoftransferableskillsthatcanenableuserstoworkwithAI(e.g.,skillsrelatedtocriticalthinking,creativethinking,strategydevelopment)

?DeveloptechnicalcompetencyskillsthatcanbetterallowfarmerstodirectlyuseAI(e.g.,AIliteracy&integration,AI-driventaskautomation,data-informeddecisionmaking,autonomoussystemoversight)

Pillar1:IdentifytheskillsneededforAI

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

Asidefromnationalandsectoralskillinginitiatives,thetaxonomyshouldalsodrawonrecentandemergingAIusecasesdeployedacross

sectorsandMSMEstoensurethattheidenti?edemergingskillsre?ectreal-worldskillingneeds.Forgreaterdetailonhowtheseinsightscanbecoordinatedacrosspolicymakers,industrybodies,andacademiatoinformthedevelopmentofthetaxonomy,see

slides47

and

48

.

Eme

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