




版權說明:本文檔由用戶提供并上傳,收益歸屬內容提供方,若內容存在侵權,請進行舉報或認領
文檔簡介
TechnologyVision2025
AI:ADeclarationofAutonomy
Istrustthelimitof
AI’slimitlesspossibilities?
>
accenture
TechnologyVision2025|AI:ADeclarationofAutonomy
AI:ADeclarationofAutonomy
IstrustthelimitofAI'slimitlesspossibilities?
WelcometoourTechnologyVisionfor2025.This
25theditionofourannualtechnologytrendsreportarrivesatawatershedmomentfortechnologyandhumanity.Asmoreandmoreleadersembracethe
needtocontinuouslyreinventusingtech,data
andAI,they,nowmorethanever,needadeep
understandingofAI.Why?BecausetherateofAI’stechnologydiffusionisunprecedentedandthe
paceisonlyincreasing—creatingnewopportunitiesforreinventionacrosstheenterprise—including
newwaysofachievingefficiencies,operatingthecoreofbusinesses,newbusinessmodelsandnewwaysofengagingwithcustomers.
WeviewAIasthenewdigitalbecause,likedigital,itisbothatechnologyandanewwayofworking.Webelieveitwillbeusedineverypartofthe
enterpriseanditwillhaveanetworkeffecton
everythingandeveryoneinvolved.Itsimpact
isalreadyreal,andascompaniescontinueto
scaleAI—andusegenerativeAIasacatalystforreinvention—itwillsolvenewproblems,createnewinventions,changehowweworkandlive,andtransformindustriesandgovernments.
Accentureresearchshowsthatonly36%of
executivessaytheirorganizationshavescaled
genAIsolutions,andjust13%reportachievingsignificantenterprise-levelimpact.Weare
activelyequippingthemtodoitfasterandmoresafelyaswesee2025astheyearofscaledAI.
Thisyear’sTechnologyVisionexploresafuturewhenAItransitionsfrombeinganautomation
Foreword2
enablertoactingautonomouslyonbehalfof
people--equippingthemwiththecapabilityto
performnewtasksandperformothersbetterthanever.ConsiderthepossibilitiesandopportunitiestoreinventasAIfindsitswayintonewandunfamiliarterritories.Totrulyunderstandandtakeadvantageofthispotential,enterpriseswillbecreatingtheir
own,uniqueAIcognitivedigitalbrainsthatwill
completelyreshapetheroletechnologyplays
acrosstheirenterpriseandwiththeirpeople.This
willdramaticallyupendhowenterprisetechsystemsaredesigned,usedandoperated;actasabrand
ambassador;andinhabitinthephysicalworldbypoweringroboticbodies.AndwhenAIisspread
acrossanorganization,itenablespeopleandAItobringoutthebestineachother.
Webelievewecan.Weseethisnewageof
technologyasanopportunitytoinjecttrustin
AIinasystematicmannersothatbusinesses
andpeoplecanrealizeitsincrediblereinventionpotential.Together,wecanpreparenowfor
aboldfuturewhenAIisautonomousandhelpsusachievemoretogether.
JulieSweet
ChairandCEO
KarthikNarain
GroupChiefExecutiveofTechnologyandCTO
Leadersareawareofthechallengestocreatingthisfuture,whichincludehighup-front
investmentsintheircoretechnologies,data
centricityandquality,andtalentandnewskills.Andchiefamongthesechallengesistrust.
Ourresearchfindsthat77%ofexecutivesbelieveunlockingthetruebenefitsofAIwillonlybe
possiblewhenit’sbuiltonafoundationoftrust.Leadersmustbuildtrustindigitalsystemsand
theAImodels,withcustomersandtheworkforce
byensuringaccuracy,predictability,consistency
andtraceabilityoverandabovetheresponsible
useofAI.People’strustinAIthatitwillperformas
expectedandjustly—beyondanytechnicalaspect—isanessentialcomponentthatwemustgetright.
TechnologyVision2025|AI:ADeclarationofAutonomyContents3
Contents
Introduction
AI:ADeclarationofAutonomy
IstrustthelimitofAI'slimitlesspossibilities?
08
01TheBinaryBigBang
WhenAIexpandsexponentially,systemsareupended
21
02YourFace,intheFuture
Differentiatingwheneveryinterfacelooksthesame
33
03WhenLLMsgettheirBodies
Howfoundationmodelsreinventrobotics
46
04TheNewLearningLoop
HowpeopleandAIaredefining
avirtuouscycleoflearning,leading,andcreating
58
AI:ADeclarationofAutonomy
IstrustthelimitofAI'slimitlesspossibilities?
Weareenteringanewchapter
intechnology—oneshapedby
ageneralizationofAI.Today’s
proliferationofaccessibleand
ever-presentAIwilldrivenew
levelsofautonomyallthroughoutthebusiness,evolvingtheabilitytoreinventwithtech,dataand
AI.Itwillbringnearlylimitlesspossibilitiesforinnovation
andgrowth,butalsochallenge
enterprises’confidenceinsystemsandthewaytheythinkabouttrust.
TherushofanAIraceisundeniable.
We’veseenitbefore.In1997,GarryKasparov
lostasix-gamechessmatchagainstIBM’sDeepBlue.1Itwasthefirsttimeacomputereverbeatachessgrandmaster,afterdecadesoftesting
machinecapabilityagainsthumansusingthis
game.ThevictorysetoffastormofexcitementandquestionsaboutAIandthefuture.Now,a
newraceisunderway.Manycompaniesbuilding
today’scutting-edgeAImodelshavetheirsightsset
Introduction4
onArtificialGeneralIntelligence(AGI).2,3Andlikebefore,theracehascaptivatedbusinessleaders,governments,andtheworldatlarge.
Butit’saredherring—adistractionmostbusiness
leaderscan’tafford.Someday,AGIwillbehugely
consequential,buttodayit’sstillfarawaywithdeeptechnicalandethicalchallengestoaddress.Instead,it’svitallyimportantthatleadersseethefarmore
pressingmatteralreadyhere:thegeneralizationofartificialintelligence,whichwillbringanewlevelofautonomyandcapabilitytoenterprises’systems,
workforces,andoperationslongbeforeAGIcomesintoplay.
TheGeneralizationofAI
TounderstandthisgeneralizationofAI,onesimplyneedstolookaroundandseehowrootedAIis
becominginourlives.It’sbeennearly30years
sinceKasparov’sgame,andnowmodelsthatcouldmakeDeepBluelooklikeanaverageplayerare
sittingineveryone’spockets.TheTuringTest,onceconsideredtheloftiestbenchmarkformachine
intelligence,iseffectivelybrokeneverydayby
conversationspeoplehavewithLargeLanguage
Model(LLM)-backedcustomerservicebotsand
salesagents.Today’sAImodelshaveshruggedoffthedeepbutspecificandlinearapproachesofthepastandaredemonstratingmoreautonomythanever—inhowtheylearn,approachtasks,andin
whattheyultimatelycando.Andthey’rebringingthisautonomytowork,where75%ofknowledgeworkersreportusinggenerativeAI;tohowwe
interactwithtechnology,asacodingcopilotandbyexpandingvoiceassistantcapabilities;andtonearlyeverythingelse,fromrobotics,tocars,tohealthcare.4,5,6,7,8,9,10HighlycapableadvancedAI
TechnologyVision2025|AI:ADeclarationofAutonomy
isdiffusingacrosseverydimensionofourlives,
instantlyaccessible,and—effectively—alwaysthere.
Thisistherealdisruptiontofocuson.Becauserightnow,evenasexecutivesracetoimplementthisnewgenerationofAI,fewarelookingpasttheseparatepiecestotrulyunderstandthescopeofwhatthey
areactuallybuilding:AI“cognitivedigitalbrains”thatwillcompletelyreshapetheroletechnologyplaysacrosstheenterpriseandpeople’slives.
WhatleadershavetofullygraspisthatthesingularlymostimportantfeatureofAIisitsabilitytolearn.
WhenAIbecomesgeneralized,andasenterprises
diffuseitacrossthebusinessandpeopleadoptit
intotheirlives,ithasthepotentialtobecomemuchmorethanjustthenewfeaturesandcapabilitiesit
provides.Enterprisesaren’tmerelyempoweringtheworkforce,creatinganewchannelforcustomer
service,orautomatingpartsoftheiroperations.
Theyaretakingatechnologythatcomeswithbroadgeneralknowledgeandisintrinsicallydefinedby
itsabilitytolearnandtheyareteachingitabout
partsofthebusiness.Andwhenpeopleuseit,they’refurtherteachingitabouttheirlikes,preferences,andneeds.
Ifbuiltintentionally,enterprisescantakeallthe
distributedAIeffortstheyarepursuingandbuildacognitivedigitalbrain.Theycanhard-code
workflows,institutionalknowledge,valuechains,socialinteractions,andsomuchothercrucialdataaboutbusinessesandtheworldintoasystemthatcanunderstand—andincreasinglyact—atahigherlevelthaneverbefore.
Whatcanapersondowiththispower?Whatcanabusinessdodeployingitacrosstheworkforce?
Whatwilltheworldlooklikeaswideproliferationbringsittoeverydimensionofourlives?Itseemsinevitablethatasleadersstarttocombinetheir
AIgeneralizationefforts,theywillsoonenhanceandempowerindividuals,driveandhelpoperateenterprises,radicallyreshapeindustriesandevenupliftnationstates.
TakeInsilicoMedicine,apharmaceuticalcompany,whichusedgenerativeAItogofromdiscovery
tophaseonetrialsofadruginunder30months,
aroundhalfthetimeitusuallytakes.11Theyused
onemodelfinetunedonomicsandclinicaldata
toidentifypotentialtargetsfordrugtherapy.To
developpossibledrugcompositions,theyuseda
generativechemistryenginethatconsistedof500predictiveandpre-trainedmodels.ForInsilico,AIisattheveryheartofwhattheydo—shapingtheverybusinessandindustryaroundit.
ACognitiveDigitalBrainatEveryLevel
Itcanbedifficulttoseethistrend;ateverylayerofscaleitmanifestsslightlydifferently.Butacrosstheboard,thisnextstageforAIwillinfuseenhanced
capabilityandincreasedautonomyintoeverythingittouches.Forindividuals,thecognitivedigitalbrainwilloperateasaco-pilotorsidekick,somethingthatwillunderstandtheirjob,learntheirpreferences,
andgettoknowthemthroughitsinteractions,inserviceofhelpingthembeanenhancedversionofthemselves.Forbusinesses,itmightseem
morelikeacentralnervoussystem—anevolutionoftheenterprisearchitectureintosomething
thatcancapturethecollectiveknowledgeofthebusiness,itsuniquedifferentiators,anditscultureandpersona,andbecomeakeyorchestrator(andevenautonomousoperator)forpartsofit.For
Introduction5
industries,itmaylooklikethecommonframeworkandcommunicationsprotocolbetweencompaniesinanindustry,orenginescodifyingthegrand
challengesthatshapeanindustry—modelsthat
willhelpgrowourunderstandingofthingslike
physics,genetics,movement,andmore.Andforcountriesandgovernments,itbringstogether
theuniqueknowledge,language,culture,laws,
andsecuritytohelpindustries,companies,and
citizensengage.Critically,thesecognitivedigitalbrainswon’toperateinsilos.Whentheybegintointeractatalllevels,theywillcreatearisingtideofintelligencethatelevatesthecapabilitiesofeverypartyinvolved.
Thisiswhyitisa“declarationofautonomy.”
Wemaycallthemdifferentthings,butacrosstherangetheevolutionisthesame:theprolifierationofautonomousAIsystemshappeningacross
societywilluplifttheworldtothenextlevelof
capability,performance,andprogress.Itwillspur
anevolutiontowardsaworldenhancedatalllevelsbyAIcognition,andgenerateanunprecedented
waveofautonomythatwillreshapetechnologyandbusinessesasweknowthem.
Afirstthoughtmaybethatthisisexclusivelya
transitionfromautomationusingAItoautonomyindigitalsystems.It’snotwrong,butit’sonlypartofthestory—AIispoweringautonomyindozensofways.It’sgivingpeopleaccesstoskillsthey
wouldn’totherwisepossess,lettingthemact
withmoreinitiativeandlessfrictionthanbefore.
It’sgivingrobotsanewdegreeofcontextand
reasoningabouttheworld,allowingthemtotake
onawiderandmorecomplexrangeoftasksand,
mostimportantly,co-minglewithhumanslikeneverbefore.Andofcourse,agenticandmulti-agentAI
WhatmakesaCognitiveDigitalBrain?
Thecognitivedigitalbrainwillbecomethecentralnervoussystemforenterprisedecision-making
andcontinuouslearning.Usedtopowerenterprises'futureambitions,likeintention-basedarchitectures,itiscomprisedoffourinterconnectedlayersthattogetherorganize,process,andactoninformation.
Knowledge:Technologieslikeknowledgegraphsandvectordatabasesgather,organize,andstructuredatafromacrosstheenterpriseandbeyond.
Models:Large-scalegenerativeAImodelsaswellasclassicalMLanddeeplearningmodelsperformcriticalthinkingandreasoningfunctionstoturndataintoactionableoutcomes.
Agents:Designedtobeproblem-solvers,tackletaskswithminimalhumaninput,andlearnandgrowovertime,AIagentsbringplanning,reflection,andadaptabilitytothemix.
Architecture:AcomprehensivebackboneiswhatturnsAIexperimentsintoenterprise-grade
solutions.Itscalesintelligenceacrosstheorganizationandintoexistingworkflowsandenablesrepeatability,sosolutionscanbemadeonceandreused.
TechnologyVision2025|AI:ADeclarationofAutonomy
systemsarestartingtotakeonentireworkflowsor
customerinteractionswithouttheneedforconstanthumanintervention,whilemaintainingstrategic
oversight.Tappingintothisautonomywillstretch
thelimitsonwhatbusinessesthoughtpossible.
Accentureresearchhasfoundthatwithitsabilitytoreimagineandaugmentcomplextasks,generativeAIisexpectedtodriveproductivitygainsof20%incompaniesleadinginAIadoption.12
Whatwehavetodayisthesparkforunboundedgrowthandinnovation—aswellasdisruption.Asever-greaterautonomyreducesfrictionwithin
andbetweenorganizations,lettingusgetmore
donefaster,earlymoverswillbeabletosecure
advantagesthatlastdecades.Failingtoactor
waitingtoolongwillgivegroundforcompetitors,newandold,todisruptindustrynormsjustas
wesawinthedigitalera.Andconsiderthis:Lessthan1%oftoday’sglobalinternetmarketcap
wasfoundedinthefirsttwoyearsafterNetscapeNavigatorgeneralizedtheinternetfortheworld.13Now,it’sbeenalittleovertwoyearssince
ChatGPT’srelease.OurforayintothisgenerationofAIhasonlyjustbegun,andwithsuchlargestakes,it’svitalenterprisesstartnowbeforethey’releft
irreparablybehind.
Tounderstandmoreabouthowdigital
platforms,data&AI,anddigitalfoundations
areempoweringenterprisestogrowthrough
changeanddisruption,pleaseseeourworkon
ReinventingwiththeDigitalCore
Weareatthestartofsomanypossiblepaths
forward.Thekeytoaccessingthefullpotentialof
AIliesinhowenterpriseleaderschoosetoharnessthenewdimensionsofautonomyitenables.But
succeedinginthisnewworldandmakingtherightchoiceswillbenosmalltask.Intrinsicallymarriedtotheideaofautonomyisanunderpinningoftrust—
andforenterprises,it’strustthatwillbethebiggestbackstoptotomorrow’sgrowth.
TheOnlyLimitisTrust
Thinkabouthowtrustdefinesthehuman
experience—therelationshipbetweenaparent
andchild,forinstance.Wesurroundbabieswith
guardrails.Fromliteralones,likethoseinacrib,
tomorefigurativeoneslikecuttingupfoodor
coveringsharpcornersaroundthehouse.Astheygrowup,welearntotrustthemmore.Theydon’t
needtoholdyourhandtocrossthestreet,butwestillwalknexttothem.Theycanplayoutsideby
themselves,butonlyinsidethefence.Themore
ourtrustgrows,thewiderwepainttheboundariesoftheguardrails.Until,oneday,theyarefully
formedadults.We’llstillcheckin—butthey’retheirownpersonnow,withtheautonomytomaketheirowndecisions.
Critically,thisexampledemonstrateshowtrust
andautonomyareinextricablylinked.Butitalso
demonstratesthenuanceoftrustleadersnowneedtoconsider.Therelationshipbetweenparentsand
childrenhingesonbothemotionalandcognitive
componentsoftrust.Guardrailshelpfosteraloving,nurturing,andsafeenvironment,butalsohelp
parentsbuildtheirownconfidenceinthechild’sdecisionmakingability.Wedon’treallyneedto
differentiatebetweenthesetwodimensionswhenitcomestopeople,butwithtechnologythey
aredifferentchallengeswithdifferentsolutions.
Untilnow,technologysystemshavebeenbroadlyrules-based.Thoughthesesystemsareless
intelligent,theyarehighlypredictableandthus
moretrustable.Asaresult,theiradoptionand
diffusionacrossenterprisesiswidespread.Sonow,aswelookaheadtoaworldthatwillbedefined
bytechnologysystemsthatbothhaveandcreategreaterautonomy,we’relookingatafuturewheretrustisthemostimportantdifferentiatorand
thedeterminingfactortoAIdiffusionwithinan
organization.Afterall,wecanonlyletsystemsbeasautonomousaswetrustthem.
Buttheramificationsofthisarenotasobvious
asyoumightthink.Ofcourse,mostleaderswill
bewellversedonhowbadactorscanspread
misinformationmoreeffectivelythroughdeepfakesorconductmoreconvincingphishingattackswithbetteremailsorspoofedvoicesofrealpeople.
Orhowbiaseddecision-makingcanrearitshead
evenwithAI.Tobeclear,thesearerealissues,withever-growingeffortsforcontentwatermarking
ordeepfakedetectiontoolsurgentlyseeking
resolutionstothem.ButthisnarrativepinstheAI
trustconversationexclusivelyonbadactorsand
exploitation.That’ssimplynotthewholestory.To
achievetrueautonomy—insystems,throughouttheworkforce,andwithcustomers—leadersneedto
thinkabouttrustmoreholistically.Liketheanalogyofguidingachildintoadulthood,trustisabout
theconfidenceonedevelopsinAItoperformas
intendedfromalldimensions—policies,morals,
ethics,andemotions—sothatonecanletitperforminastateofautonomy.Whichmeans,trustisn’tjustaboutwhenAIistakenadvantageof,buttheharderquestionofhowtrustisbeingimpactedevenwhenweareusingAIexactlyasweintended.
Introduction6
Becauseitisimpacted.Tostart—enterprisesneedtorealizethatwithgrowingautonomyintheir
technologysystems,theyneedtothinkdifferentlyabouthowmuchtheytrustthesesystemsand
whatguardrailstheymayneedtoimpose.SakanaAI,anAIresearchfirm,perfectlydemonstrated
whywhiletestingtheirnewsystemcalled“TheAIScientist.”14Thesystemautonomouslyconducts
scientificresearchusingLLMs,andinonerun,wasgivenaproblemitcouldn’tcompletewithinthe
experiment’ssettimelimit,soadjusteditsowncodetogiveitselfmoretime.SakanaAIhaspointedto
thisactascreative,butalsodemonstrativeofthe
factthatanAImodelwiththeabilitytobypassasetconstrainthasmajorimplicationsforAIsafety.
Andbeyondanenterprise'strustintheAImodelsorsystemsituses,growingautonomyisalsodisruptingthetrustenterpriseshavebuiltwithpeople,inalotofdifferentways.
Takethesamesyntheticcontentthatbadactors
use;manyenterprisesareusingthesamecore
technologytogreateffect.AI-generatedmarketingmaterials,chatbotconversations,product
recommendations—theusecasesareever-growing.
ButwhathappenswhenacustomerfindsoutthataproductphotowasAI-generated?Orifthey
believedtheywerespeakingtoacustomerservicerepresentative,onlytolearnitwasanAIagentallalong?Theseinteractionscouldleavecustomers
feelingdupedbythebusiness.
OrlookatAIintheworkforce.Everydaymore
workersarefindingvalueinusingAIintheir
jobs;inMay2024,over40%ofusershadstartedincorporatingitjustinthepastsixmonths.15But
theyarehidingthisfromtheiremployers:morethan
TechnologyVision2025|AI:ADeclarationofAutonomy
halfofworkersusingAIarereluctanttoadmititandworrythatusingitforimportanttasksmakesthemlookreplaceable.Thisisn’taquestionofhowmuchdoworkerstrusttheAIthey’reusing,ratheritis
proofthatAIisshakingupthetrustedrelationshipbetweenpeopleandtheiremployer.Employees
areusedtohavingwell-developedcareerpaths,
definedroles,skillexpectations,andashared
understandingofhowworkperformancetranslatesintojobstability.TheinfusionofAIisbringing
uncertaintytothis.
Forenterprises,trustisacrucialcurrency
underpinningtheirrelationshipswithcustomers,
employees,regulators,andshareholders.Untilnow,thistrustwasbuiltinsmallmoments—moments
thatAIischanging.Thinkofthemicro-interactionshappeningacrossbusinesseseveryday.Agreat
salesrepsavingcustomersmoney,orasupportrepgoingaboveandbeyondtosolvecustomers’problems.Qualityservicefromapractitioner
orprovider.Callingacustomerforidentity
confirmation.On-timedeliveryofproducts.Everyoneofthesemomentscan,andwill,bedisrupted
withAI.Andmanywillbebetterforit—richwith
moreautonomy,lessfriction,andbetteroutcomes.Buthowfarcanyougobeforetrustbecomesan
issue?Howwillyoureinvigoratethecriticalhumanmomentsthatbuildit?
Thesearetheissuesthatleadersneedtobe
tackling.Autonomyisthekeytothenextgenerationofbusinessgrowthandinnovation.Wewant
employeestobeabletoworkmoreautonomously,
withafleetofagentsattheircommand.We
wantcustomerstobeabletofreelyinteractwithautonomousenterprisesystems,purchasingondemandorenjoyingalevelofcustomizationand
relevancethatonlyAIagentscanprovideatscale.Butthatautonomyneedstobefacilitatedbytrust.
Howmuchcustomerstrusttheenterprise,or
enterpriseleaderstrusttheirsystems,orworkers
trusttheiremployers,howmuchpeopletrustAI,ordozensofotherpermutationsacrosstheecosystemofrelationshipsanenterprisehas.
Thisiswhytrustisnotsimplyoneofmanytrends
inthisyear’sreport.Itisnotaconsiderationfor
businesses—itistheconsideration.Withevery
companybeginningtoreinventthemselveswiththegeneralizationofAI,thetechnologyitselfcannotbetheonlyfocus.ReapingthebenefitsofAIwillonly
bepossiblewhenit’sbuiltonafoundationoftrust,andthisneedstobeeveryleader’sfirstpriority.
PathwaystoaStrongerFoundation
Trustisn’tgoneintheworldofAI—butitis
becomingfarmoredynamicandessentialto
enterpriseplans.WithAI,enterpriseleadersare
goingtoneedtonavigateboththeemotional
andcognitivedimensionsoftrust.Theemotional
dimensions—dopeopleloveAI,fearit,thinkitis
alignedwiththeirinterests,orfeeltakenadvantagebyit—areoftenconsideredpublicly,butwillneed
realpolicyandgovernanceasenterprisesseekto
furtherdiffusethetechnology.Andtheseefforts
willonlybesuccessfulwithcomplementaryactiontakentoaddressthecognitivedimensionsoftrust:Doesasystemactreliably,competently,canit
navigatechallengesandstillactasexpected,withintheguardrailslaidoutforit.Thisisakeyaspectforanysystemoperatingwithautonomy,andespeciallywithAIwhereitis,bynature,onethatwillbereliedontolearn,grow,andactbasedonintent,not
necessarilyexplicitdirection.Supportingthiswill
requirededicatedteamsofdomainanddecision
scientists(orAIOpsteams)whowillconstantly
test,evaluateandbuildtheaccuracy,predictability,consistency,andexplainabilitynecessaryto
maintaincognitivetrustinthesystem.Thisisnew
territory,withnoone-size-fits-allsolution.Every
enterprisehastheirowntrust-buildingmoments,
technologies,AIstrategies,andkeyrelationshipstofocuson.Butbroadly,anypathforwardwillcenteronaddressingtrustacrosssystemsanddata,AI
itself,andpeople.
First,enterprisesneedtobolsterthecybersecurityandtrustoftheirdigitalsystems.Thegoodnews
isthatforsystemsanddata,buildingthisnewfoundationdoesn’tmeanstartingfromscratch.
Manyprevioustechnologyandstrategyinvestments
canpaynewdividendsnow.Cybersecurity
strategieslikezerotrustandentitybehavior
analytics,forinstance,willbecritical.Youcan’t
controlbadactors,butyoucancontrolhowyouprotectsystemsandpeoplefromthem—andwithAI’sdependenceondata,protectingeveryone’sdataisincreasinglyimportant.Distributedledgertechnologiesthatfosterecosystem-scaletrust
arealsoagreatexampleofadaptingtraditionalnetworksoftrusttowardnew,technology-basedones.Youdon’thavetotrusttheentitiesusing
thesetechnologies,becausethesystemensures
theycomplywithwhateveragreementsareputin
place.Ultimately,greatcybersecurityoverallwillbeparamounttoachievingAItrustandsecurityatall.
TheseconddimensionoftheroadmapisthinkingaboutbuildingtrustinAIitself.Bynowthefield
ofresponsibleAIisbecominganestablished
discipline,andoneenterpriseswillincreasinglyrelyonastheylooktoethicallystewardtheirstrategies.
Introduction7
Manycompaniesarealreadyfamiliarwithideaslikeexplainability,transparencyarounddatacollection,debiasing,andothermaturingtechniques,butas
leaderslooktoscaletheiruseofAI,theseefforts
willbecomeacriticalbridgebetweentechnical
solutioningandthehumansinterestedandinvestedinusingthetechnology.QuestionswillswirlaroundhowanAIistrained,whoitisworkingfor,andhow
itmakesdecisions—theseareunavoidable.Butwhatenterprisescandoisbepreparedwithananswer,
whichiswhytheycan’tsitbackandwait,andneedtomakeresponsibleAIakeypartoftheirstrategynow.
Lastly,thethirdandunchartedpartoftheroadmapisfindinganewpathtopeople-driventrust.We
knowwhereweneedtogetto—newtouchpoints
andwaystoestablishandmaintaintrustwithpeople
asthegeneralizationofAIdisruptstraditional
interactions.Buthowtogettherewillbedifferent
foreveryorganization,sotheplacetostartiswith
self-directedquestions:Whatwillcareerpathslooklikewhenmanyentry-leveljobscanbedonebyAI?WhatwillestablishjobsecurityforemployeeswholeverageAItostreamlinetheirwork?Howwillwe
maintainapersonaltouchwithcustomersifour
“frontline”supportisAIagents?Enterprisesshouldseektoan
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯系上傳者。文件的所有權益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網頁內容里面會有圖紙預覽,若沒有圖紙預覽就沒有圖紙。
- 4. 未經權益所有人同意不得將文件中的內容挪作商業或盈利用途。
- 5. 人人文庫網僅提供信息存儲空間,僅對用戶上傳內容的表現方式做保護處理,對用戶上傳分享的文檔內容本身不做任何修改或編輯,并不能對任何下載內容負責。
- 6. 下載文件中如有侵權或不適當內容,請與我們聯系,我們立即糾正。
- 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- 水利水電工程設備更新換代試題及答案
- 行政管理心理學學習心態調整試題及答案
- 交通設備制造業數字化轉型中的智能交通設備制造智能制造知識產權報告
- 心理學視角下的沖突處理方法試題及答案
- 2025年工程項目預算管理考核試題及答案
- 行政管理與公共關系的綜合性試題及答案
- 2025年工程經濟資本結構優化試題及答案
- 公共關系學的比較研究試題及答案
- 2025年建筑考試的資源利用試題及答案
- 行政管理行為中的心理因素試題及答案
- 高效課堂新授課評價量化表
- 信和SDS2MS使用說明書
- 維修手冊震旦218現場
- 畫法幾何與陰影透視復習題(DOC)
- 螺旋密封的設計及在流體機械中的應用
- 青島市失業人員登記表
- 燒結機工程施工設計方案
- 《中國好聲音》全國校園海選招商方案(冠名)
- 廣西安全文明施工費使用管理細則桂建質新版
- 存貨質押貸款業務管理規定
- 公路路面基層施工技術規范JTJ034-93條文說明
評論
0/150
提交評論