全民AI：劳动力技能提升政策工具包+AI+for+All：Workforce+Skilling+Policy+Toolkit

AIforAll

WorkforceSkillingPolicyToolkit

PublishedFebruary2026

CONTENT

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Introduction

Pillar1:IdentifytheskillsneededforAI

Pillar2:Assessgapsinskillingecosystems

Pillar3:Developandimplementaworkforceskillingroadmap

Pillar4:MonitorandevaluateprogressCaseStudies

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Authoredby

AVPNisthelargestnetworkofsocialinvestorsinAsia,

comprisingover600fundersandresourceprovidersacross33markets.Ourmissionistoincreasetheflowandeffectivenessoffinancial,human,andintellectualcapitalinAsiabyenabling

memberstochannelresourcestowardsimpact.Asanecosystembuilder,AVPNenablesitsmemberstoconnect,learn,act,and

leadacrosskeypillarsandimprovetheeffectivenessofdeployedcapital,bringinglocalfieldneeds,regionalexpertise,andpolicyinsightstotheforefront.

FormoreinformationaboutAVPNandourwork,pleasevisitourwebsiteandreadourlatest

AnnualReview2024/25

.

AccessPartnershipistheexpertglobaladvisoryfirmacceleratinginnovationthroughstrategy,analysis,publicaffairs,and

communications.Weworkwithbusinesses,governments,and

multilateralinstitutionstounlocknewmarkets,drivecommercialsuccess,andcreatesolutionsthatadvancehumanity.We

combineon_the_groundexpertiseacrosseveryregionwithdeepspecialism,lettingusgobeyondconventionalconsultingto

designandexecutebold,end_to_endstrategiesthathelpourclientsscaleanddelivermeaningfulimpactforsociety.

FormoreinformationaboutAccessPartnership,pleasevisit

our

website

.

AbouttheToolkit

Thetoolkitidentifiescriticalpolicyprinciplesandpracticalguidanceforpolicymakersandkey

stakeholderstostrengthenAIlearningsystemsandemployabilityacrosstheAsia-Pacificregion.

Mappedacrossfourpillars,theframeworkunderpinningthistoolkitguidespolicymakersin

defining,classifying,andidentifyingtheskillsneededforAI;assessexistinggapsinskilling

ecosystems;designingandimplementinganactionableworkforceskillingroadmap;andmonitorandevaluateprogressofitsskillinginitiatives.Progressionpathwayshavealsobeendevelopedforeachpillar,promptingpolicymakerstoassesstheirrelativestageofprogresswhileidentifyingnextstepstoscaleandsustaineffectiveandtargetedAIskillinginitiatives.Thereportconcludesby

applyingthisframeworktothreecountriesinthecasestudysection,illustratinghowdesignprinciplescanbetranslatedintopolicyactionforeffectiveAIskilling.

Informationiscurrentasof31December2025,unlessotherwisestated

Acknowledgements

ContributingOrganisations

AIAsiaPacificInstituteCoursera

DigitalAsiaHub

FutureWorkGroupH&MGroup

ICDLThailandIvesTay&Co

Authors

Microsoft

NationalUniversityofSingaporeOrganisationforEconomic

CooperationandDevelopment(OECD)

SasinSchoolofManagementTechforGoodInstitute

UniversityofMelbourne

UniversityofNewSouthWales

TristanAce,ChiefEngagementOfficer,AVPNEvelynWong,PolicyDirector,AVPN

GayathriHaridas,AssociateDirector,AccessPartnership

LennonGoh,Consultant,AccessPartnershipYuJingKew,Consultant,AccessPartnership

JointForeignChambersofCommerce,Thailand

ExecutiveSummary

Introduction

TheadventofAIhasbroughtaboutsignificantbenefitsacrossgovernments,

industries,andindividuals.ThedeploymentandintegrationofAIintoexisting

workstreamscantransformdailyoperationsofindividuals,whiledrivingproductivitygainsacrossthepublicandprivatesector.

ThesebenefitscanonlyberealisedifindividualsareempoweredtocapturetheAIopportunity.ToeffectivelyadoptAI,individualsmustbeequippedwiththeskillsto(i)useAIethically,responsibly,andsustainably;(ii)mitigateAI-associatedrisks;and(iii)engageeffectivelywithAIsystems.

Forward-lookingpolicyframeworksarecriticalinfosteringanenablingenvironmentforthedevelopmentofskillsneededforAI.InsupportoftheAVPNAIOpportunity

Fund,theAIforAllWorkforceSkillingPolicyToolkitaimstofostercollaborationandsharebestpracticesamongpolicymakersandkeystakeholderstowardsimprovingAIlearningoutcomesandemployability.

AIForAllWorkforceSkillingPolicyToolkit

TheAIforAllWorkforceSkillingPolicyToolkitaimstoequippolicymakersandkeystakeholderswithcriticalpolicyprinciplesandpracticalguidancetostrengthenAIlearningsystemsandemployabilityacrosstheAsia-Pacificregion.

Thetoolisbuiltaroundtwocomplementarybuildingblocks:

a)AIforAllWorkforceSkillingPolicyFramework

Providesastructuredpolicyframeworkthroughfourpillarstoguidethe

designanddevelopmentofnationalandsectoralskillinginitiativesacrosstheAPACregion

b)AIforAllWorkforceSkillingCaseStudies

Showcasespracticalexamplesthatreflecttheidentifiedpolicyactions,servingasaresourceforgovernmentsandkeystakeholderstoguidetheimplementationofAIskillingprograms

Thetoolkitbuildsoninsightsfromthe

AIforAll:BuildinganAI-readyWorkforceinAsia-Pacificreport

(“AIforAll

landscapereport”)*,translatingthedesignprinciplesidentifiedformoreeffectiveAIskillinginitiativesinthereport,intoactionablepolicyconsiderationsandimplementationpathwaysthatcanbeundertakenthroughtheskill

.

developmentcycle

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

HowtonavigatethisToolkit

QuickLink

YourObjective

ToharmoniseapproachesinidentifyingcriticalAIskillsacrosskeysectorsandthewider

economy

》》

Pillar1:Identifytheskillsneededfor

AI

Pillar2:Assessgapsinskilling

ecosystems

Pillar3:Developandimplementa

workforceskillingroadmap

Pillar4:Monitorandevaluateprogress

a)AIforAll

WorkforceSkillingPolicyFramework

TogaindeeperinsightintolabourmarketneedsandAIskillinggapsintheworkforce

》》

ToensureacoordinatedandconsistentapproachacrossAIskillinginitiatives

》》

ToensurethecontinuedeffectivenessandrelevanceofAIskillinginitiatives

》》

ToenhanceimplementationeffectivenessacrossAIskillinginitiatives

》》

Casestudies

b)AIforAllWorkforceSkillingCaseStudies

AIforAll

Workforce

SkillingPolicyFramework

AIforAllWorkforceSkillingPolicyFramework

Giventhefast-evolvingnatureofAI,theAIforAllWorkforceSkillingPolicyFrameworksetsouttoensurethat

skillinginitiativesareflexible,receptivetoemergingneeds,andfuture-proof.Thisacknowledgementisechoedbyindustry,academia,andpublicsectorstakeholdersengagedduringtheframework:

“WiththeonsetofAI,skills

requirementsarechangingveryfast.Wemustnotlockourselvesintoarigidroadmap,norupdateskills

taxonomyonlywhentheneedarises.”

Keyissue#1:

AIisevolvingfasterthancurrentskillinginitiativescankeeppace

“Theco-developmentofskillinginitiativeswithindustryplayersis

criticalininforminguswhatboththepublicandprivatesector

requires.”

Keyissue#2:

EvolvingnatureofAIcontinuallyreshapessectoralandbusinessusecases

“FinancialincentivesareofteninsufficientinencouragingbroaderAIadoption.Weneedtoimproveaccesstotraining

initiativesandcloseralignthevalueofAIskillingwithvariedpriorities.”

Keyissue#3:

CurrentAItrainingprogramsoftenfallshortintermsof

accessibilityandrelevance

Source:AccessPartnershipheldstakeholderconsultationswithindustry,academia,andnon-profitorganisationsoverJuneandJuly2025.

AIforAllWorkforceSkillingPolicyFramework

ObjectivesandPrinciples

Againstthisbackdrop,theobjectivesoftheAIforAllWorkforceSkillingPolicyFrameworkareto:

Identifyessential,fit-for-purposeAIskillsneededtoadapttoevolvingjoblandscapes;

Establishatailoredapproachtowards

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

DesignactionableandagilestepstobuildAIcapabilitiesatscale

》》

》》

》》

Toachievetheseobjectives,theframeworkwillbeunderpinnedbythefollowingprinciples:

Collaborationacrossacademia,industry,andgovernmentstakeholderstoidentifyanddeliveressential,fit-for-purposeAIskills

Fosterbroad-basedparticipationbyadoptingvariousoutreachstrategiesthataretailoredtotheneedsandinterestsofvariousdemographicgroups

Adaptabilitytoensurethatskillinginitiativesareagiletoevolvingindustryandtechnological

trends

AIforAllWorkforceSkillingPolicyFramework

4KeyPolicyPillars

TheAIforAllWorkforceSkillingPolicyFrameworksetsouttoachievetheobjectivesthroughaniterative,fluidprocess.Whilethe

frameworkrepresentsaninitialstartingpointforpolicymakerstobegintailoringskillinginitiativestowardAIskilling,itisintendedtobealivingdocumentthatiscontinuallyadaptedtonationalneedsandpriorities.

1

IdentifytheskillsneededforAI

DevelopaskillstaxonomythatenablespolicymakerstodefineandclassifyskillstransformedbyAI;and

IdentifyemergingAIskillsthatalignwithnationalandsectoralpoliciesandpriorities

4

Monitorandevaluateprogress

Identifyanddevelopkeyperformanceindicators(KPIs)aspartoftheMELapproachtocontinuouslyrefinetheframework

Develop&Implement

IdentifyAssess

Monitor&Evaluate

2

Assessgapsinskillingecosystems

Conductagapassessmenttoidentifygapsinexistingskillingprograms,ensuringthatfutureskillingprogramsremaintargeted

3

Developandimplementaworkforceskillingroadmap

DesignanactionableAIworkforce

skillingroadmap,prioritisingthekey

actionstobetakenbyvariousstakeholders

AIforAllWorkforceSkillingPolicyFramework

3ProgressionPathways

Recognisingthatcountriesareatdifferentstagesofdevelopmentalongeachpillar,threeprogressionpathwayshavebeendevelopedtoreflecttheirvaryinglevelsofreadinessateachpillar:

•Startingaction:AimedatestablishingfoundationsforAIskillingecosystemscurrentlyataformativestage

•Scalingefforts:BolsteringcoordinationandprocessesforAIskilling

ecosystemswhereeffortsareunderway

•Sustainingimpact:Enhancing

institutionalproceduresforcountrieswithestablishedAIskillingprocessesinplace,forcontinuousimprovement

Countriescanself-assessagainsttheseguidingstatementsineachpillar,to

identifytheirstageofdevelopment

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

Pillar1

Pillar1:IdentifytheskillsneededforAI

Pillar1setsouttodevelopaskills

taxonomyby:

DefiningandclassifyingessentialskillsforAI;and

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

Policymakers

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

Sectors

Consistentwithnationalstrategies,sectorstailorthetaxonomiesandshortlistedskillstotheirowncontexts,

incorporatingsector-specificorrole-specificcompetencieswhereapplicable

TransitionalskillsEnablingskillsEmergingskills

SkillsthataredeclininginimportanceduetobeingextensivelyimpactedbyAI

Skillsthatwillcontinuetobeessentialinthefuture,with

minimalormoderateAIimpact

NewskillsthataredirectlyrelevanttoAI,madecriticalthrougheconomicshifts

Thetaxonomywillenable

policymakersto:

•Identifysectors

wherereskillingneedsareurgentduetohigherriskofautomation

(transitionalskills)

•Identifykeyskillsacrosssectorsthatarecriticalto

harnesstheAIopportunity

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

Pillar1:IdentifytheskillsneededforAI

DefiningandclassifyingessentialskillsforAI

ExtensionoffindingsfromtheAIforAlllandscape

report:

Prior,the

AIforAlllandscapereport

*hadidentifiedroletransformation,skilladaptation,andtheneedforaccessiblesystemsasfactorsthatwillinfluenceAI’simpactontheworkforce.Correspondingly,variousdemographicgroupswouldbeimpactedbyAIdifferently:

Withroletransformation,160skillshavebeenidentifiedtolikelybetransformedbyAIinthe

landscapereport

-acrossanalyticaland

technicalskills,administrativeandpracticalskills,strategicandcreativeskills,andrepetitiveandspecificskills.

Asanextensionofthesefindings,Pillar1buildsonthisclassificationtoevaluatetheextenttowhicheachskillwillbeaffectedbyAIbasedontheirrespectiveworkactivities,furthercategorisingthemaccordingtotheirdegreesofrelevance.

Thisclassificationallowspolicymakerstogaininsightsontheskillingneedsofjobfunctionsthataresignificantlydisruptedandtoprioritiseskillinginvestmentsaccordingly.

*NOTE:Fullmethodologyisavailableinthe

Appendix

.

Pillar1:IdentifytheskillsneededforAI

DefiningandclassifyingessentialskillsforAI

Themethodologyoutlininghowtoidentifyandorganisethe160skillstransformedbyAIissummarisedasfollows:*

3

Skillsfromtheskills

taxonomydeveloped

fortheAIforAllreportaremappedtotheirtopworkactivities

(maximumof3)

2

Workactivitiesare

sortedintodifferent

categoriesofAIimpactbasedontheshareofspecificactivities

affectedbyAI

1

Ground-upassessmentoftheexpectedeffectsofAIontheundertakingofspecificwork

activities

4

Skillsaremappedto

theirrelevanteconomicsectors

Transitionalskills

Pillar1:IdentifytheskillsneededforAI

DefiningandclassifyingessentialskillsforAI

Implications

•Theproportionofskillsineachsector

thatfallsundertransitionalskills

informswherereskillingeffortswouldbemosturgent(i.e.,whereAIwillhavethelargestdisruptiveimpacts)

•Skillingeffortsandinitiativesneedtoshiftawayfromtrainingfortransitionalskills,andtowardstrainingforenablingskills

ThesectoralskillsarethensortedintotwocategoriesbasedontheirAIimpact:

SkillswithcompetencyareasthataredeclininginrelevanceduetobeingextensivelyimpactedbyAI

Reskillingeffortsarecriticalin

pivotingworkerstoothercriticalcompetencieswithintheskillsets,jobfunctions,orsectors

Enablingskills

Skillswithcompetencyareas

continuetobeessentialinthefuture,withminimalormoderateimpactbyAI

Workersmustcontinuetohonetheseskillssothattheycan

continuetoperformtheirjobfunctions

Source:Workday,WorldEconomicForum

Pillar1:IdentifytheskillsneededforAI

DefiningandclassifyingessentialskillsforAI

Enablingskills

Skillsthatdemonstratehuman-centredabilitieswillbecriticaltoworkeffectivelyalongsideAI.Enablingskills–whilenon-exhaustive–canlargelybeconceptualisedacrossthefollowing

tenets:

Interpersonalcompetencies

(e.g.,effective

communication,teamwork,leadershipskills,empathy

Buildstrustandfosterscollaborationtoovercome datasilosandemployAIeffectivelyandinnovatively

Self-efficacycompetencies

(e.g.,adaptability,resilience,

flexibility,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

DefiningandclassifyingessentialskillsforAI

Nationally,policymakerscanspearheadeffortsinidentifyinghigher-leveltransitionalandenablingskillstoprovidestrategic

directioninalignmentwithnationalpriorities.Someexamplesoftransitionalandenablingskillsthathavebeenwidelyidentifiedacrosstheliteratureinclude:

The

AIforAlllandscapereport

identifiesskillssuchas

operationaldexterity,operationandmaintenance,andqualitycontrolareamongskillsthat

couldbesignificantlyimpactedbyautomation.

Transitionalskills

Enablingskills

•Manualdexterity

•Equipmentoperationandmaintenance

•Inventorymanagement

•Communicationandteamwork

•Criticalthinkingskills•Designthinkingskills

•TheWorldEconomicForum’s

FutureofJobsReport2025

findsthatsevenof10employers

identifyanalyticalthinkingskills,tobethetopcoreskill

•Expertshighlightthecontinuedrelevanceofinterpersonal

skillsincontributingtoanagileandcollaborativeworkforce

Exampleofstrategicguidanceissuedbypolicymakers:

JobsandSkillsAustraliahasundertaken

astudy

toevaluatetheongoingneedsinskillingandtrainingcurriculumsamidst

Australia’sshifttoanAI-driveneconomy.Inparticular,non-digitalenablingskillssuchascriticalthinking,communication,andadaptabilityhavebeenidentifiedtoremainvaluableinapplyingjudgmentinoverseeingAI-generatedoutputs,and

adapttotheevolvingexpectationsofthelabourmarket.

Pillar1:IdentifytheskillsneededforAI

DefiningandclassifyingessentialskillsforAI

Ultimately,greatergranularityandtailoringofessentialskillsneededforAIwithineachsectorwouldneedtobedrivenbysectoralefforts.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

ExtensionoffindingsfromtheAIforAlllandscapereport:

Skilladaptationrepresentstheneedforindividualstoacquirethe

knowledgeandcapabilitiestoeffectivelyleverageAItechnologiesinsupportoftheirexistingjobfunctions.

DrawingfromthefindingsoftheAIforAlllandscapereport,Pillar1definesandidentifiesthevariousformsofemergingAIskillsthatwouldbeessentialforindividualsincapturingtheAIopportunity,underitsemergingskillscategory.

Prior,the

AIforAlllandscapereport

*hadidentifiedroletransformation,skilladaptation,andtheneedforaccessiblesystemsasfactorsthatwillinfluenceAI’simpactontheworkforce.Correspondingly,variousdemographicgroupswouldbeimpactedbyAIdifferently:

*NOTE:AIimpactreferstohowthewidespreadadoptionofAIreshapestheimportance,application,orcontextofaskill.

Pillar1:IdentifytheskillsneededforAI

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

AftercategorisingskillsbasedontheirextentofAItransformation,theskillstaxonomyfurtheridentifiesemergingskills.Asastart,severalemergingskillshavebeenidentifiedbasedonthoseprioritisedinnationalskillingroadmapsandinternationalbestpractices.

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

EmergingAIskillsshouldbeidentifiedandcategorisedbasedonthreemainlevelsofAIcompetencytoenabletieredlearningandprogressionacrossjobfunctionsandscopes(OECD):

Emergingskills

123

BasicAIliteracy

encompassesfoundationalconceptsforgeneral

audiences,suchas:

•Craftingeffectivepromptsingeneratingaccurateandrelevantresponses

•UsingAIethically,

responsibly,andsustainably

•Recognisinghallucinations,bias,andinaccuraciesinAI

•SafeguardingandmitigatingAIrisksandbiases

AItoolsandapplications

involvetheuseandpracticeofAItoolstoenhance

productivity:

•InteracteffectivelywithAIsystemsbycraftingAI

promptsforspecific

functionsandpurposes

•IntroductionofAItoolsandplatformsfor

businessneedsandproductivity

Policymakersshouldprovidestrategicguidanceon

fundamentalAIliteracyskillsandapplications(see

slide

77)

AdvancedAI

competenciesthataretailoredtosectoralandrole-specificneeds:

•AdvancedAIskills(e.g.,naturallanguage

processing,deep

learning)thatcancutacrossdisciplines

•ApplicationofAIwithinspecialisedtechnical

fields,e.g.,financialmodelling,healthcare

SectoralinsightsshouldinformthedevelopmentofadvancedAIskills

SOURCE:OECD(2025),BoostingProductivityandBusinessGrowth:TheRoleofArtificialIntelligenceSkills.

Pillar1:IdentifytheskillsneededforAI

IdentifyingemergingAIskillsrenderedcriticaltoutiliseAI

Exampleofoverarchingguidanceprovidedonanationallevel:

Basedonpre-identifiednationalpriorities,policymakerscanprovidestrategicguidanceonemergingAIskills.Someexamplesinclude:

Transitionalskills

•Manualdexterity

•Equipmentoperationandmaintenance

•Inventorymanagement

Enablingskills

•Communicationandteamwork

•Criticalthinkingskills

•Designthinkingskills

Emergingskills

Japanhascontinuallyreaffirmedits

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

Benefittopolicymakers

•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

sectorsandMSMEstoensurethattheidentifiedemergingskillsreflectreal-worldskillingneeds.Forgreaterdetailonhowtheseinsightscanbecoordinatedacrosspolicymakers,industrybodies,andacademiatoinformthedevelopmentofthetaxonomy,see

slides47

and

48

.

Eme