Common Sense：深度伪造技术和语音克隆之消费者情绪报告

DEEPFAKEAND

VOICECLONE

CONSUMERSENTIMENT

REPORT

OCTOBER2023

TableofContents

1.INTRODUCTION//3

2.SCAMS,ATTACKVECTORS,&POSITIVEUSES//13

3.DEEPFAKEAWARENESS&SENTIMENT//23

4.VOICECLONEAWARENESS&SENTIMENT//37

5.COMPARINGDEEPFAKESANDVOICECLONES//52

6.DEEPFAKE&VOICECLONECONCERNBYDOMAIN//60

7.ADDITIONALRESOURCES//71

Voicebotproducestheleadingonlinepublication,newsletterandpodcastfocusedontheconverstionalAIandgenerativeAIindustries.Thousandsofindustryleaders,engineers,entrepreneurs,softwaredevelopers,investors,analystsandcompanyfounderslooktoVoiceboteachweekforthelatestnews,data,analysisandinsightsdefiningthetrajectoryofthenextgreatAIcomputingplatforms.

Pindropwasbuilttosilencefraudsters.AIfraudisontherise,makingcutting-edgefrauddetectionsoftwareyourkeytostoppingdeepfakeattacks.Pindropisdedicatedtocontinuouslyinnovatingsolutionstodetectandmitigatetherisksposedbysyntheticaudio—fortifyingtrustandintegritybetweenyouandyourcustomers.

METHODOLOGY

ThesurveywasconductedonlineduringJulyof2023andwascompletedby2,027U.S.adultsage18orolderthatwererepresentativeofU.S.Censusdemographicaverages.Becausewereachedonlyonlineadultswhichrepresent95%ofthepopulation,sometotalsareadjusteddownwardtoprovideusagenumbersrelevanttotheentireadultpopulation.

Synthediaistheleadingproviderofanalysis,data,trends,

news,andadvisoryservicesfocusedontherapidly

growinggenerativeAIandsyntheticmediamarkets.

Throughadailyemailnewsletter,weeklynewslive

stream,conferences,reports,community,andstrategy

consulting,Synthediahelpsbusinessleadersnavigate

themostdisruptivetechnologyshiftintwodecades.

INTRODUCTION

ALetterFromPindrop

Eachnewtechnologyarriveswithapplicationsforgoodandforbad.WhilemanyfansofStarWars,America’sGotTalent,onlinegames,andcountlesshumorousYouTubevideoshaveenjoyedtheemergenceofvoiceclonesanddeepfakes,thereisalsoarisinguseofthesetechnologiesinfraud,disinformation,andharmtopersonalreputations.The

technologiesaresogood,andweareinundatedwithsomuchdigitalmediathatpeoplenowstruggletodifferentiatetherealfromthefake.APindropstudyshowedthatpeoplecanidentifyadeepfakewithjust57%accuracy.Thatisonly7%betterthanacointoss.

Thesolutionisnottostopthetechnologyandthrowoutthegoodinordertoeliminatethebad.Thesolutionistocreatetoolsthatcandetectdeepfakesandvoiceclones,andprotectusersfromtherisksofmisuse.

PindropSecuritywasfoundedonusingAItechnologytoreduceriskbydistinguishingrealityfromtheillusory.Initially,itwashumansemployinga

combinationofsocialengineeringandtechnologyinattemptstoaccesssomeone’sbankaccount,medicalhistory,orotherprivateinformation.Today,itisthesame,butvoiceclonesanddeepfakesarethelatesttoolsinthefraudtechnologyarmsrace.

Pindropistakingactionandprovidingdetectiontoolstoprotectcompaniesandindividualsfromharm.Infact,wehavebeenworkingonthisproblemforadecadeandhave11deepfakedetectionpatents,manyofwhichhavebeenconvertedintoproducts.

WecollaboratedwithVoicebot.aitoshedlightonconsumerexperienceandperceptionarounddeepfakeandvoiceclonetechnology.IsuspectyouwillfindthatdeepfakeawarenessbyoverhalfofU.S.adultsishigherthanexpected.Voicecloneawarenessisevenhigherat64%.Theproliferationofthetechnologyhasmovedquickly,andconsumersarerightlyconcerned.Thankfully,therearesolutionsforcompaniesthatwanttoproactivelyprotecttheircustomers.

VijayBalasubramaniyan,CEOandco-founderofPindrop

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INTRODUCTION

TheRiseofDeepfakes

DeepfakesareoneofthemostcontroversialsolutionsarisingfromtheadvancementofAItechnology.ThetechnologyisusedbyHollywoodtode-ageactorsandrecreateactors’likenessesafterdeath,bycomediansinsocialmedia,byadvertisers,bygamers,andamongfriendsforfunandentertainmentpurposes.However,itisalsoemployedbycriminalsasatooltocommitfraud,bydisgruntledpeoplelookingtoharmsomeone’sreputation,andbynationstatesandpoliticalactorstospreaddisinformation.

Whetheryouviewdeepfaketechnologyasnetpositiveornetnegative,itsunrealityisarealityofourtime.Voicebot.aiandSynthediahavepublishedover100articlesondeepfaketechnologysince2019.Mostofthoseinthepastyear.Thetechnologyisontherise,improvinginquality,andbecomingmoreaccessible.

FillinganInformationGap

Mostofthenewscoverageandanalysisfocusesonthetechnologyandeventsandlittleisavailableaboutconsumerperceptionandexperiencewithdeepfakes.VoicebotpartneredwithPindropSecurityinanefforttofillthisinformationgapaboutdeepfakesoverallandforthesubcategoryofvoiceclones.

Thefindingsmaysurpriseyou.Wedidnotanticipatethelevelofeverydayconsumerawarenessorthesplitofpositiveandnegativesentiment,especiallyinlightofthelevelofconcernexpressed.Nordidweexpectsomanyconsumerstobelievethatbanks,insurance,healthcare,news,andsocialmediaorganizationshavealreadytakenmeaningfulstepstoprotectthem.Thisfindingsuggeststhattheremaybeamismatchbetweenexpectationsandreality.Thatsentimentsurelyseemsontopic.

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PAGE4

StaticDynamic

Audio

•Voices

•Music

•Sounds

Video

•People

•Objects

•Places

•Concepts

Text

•Printed

•Written

Image

•People

•Objects

•Places

•Concepts

INTRODUCTION

DeepfakesExistinMultipleFormats

Voicebotcategorizesdeepfaketechnologyintofourcategories:audio,video,text,andimages.Thecoretechnologiesaregenerallyrelatedbutdistinct.Forthisreport,wefocusontheoveralldeepfakemarketandthesubcategoryofvoiceclones.Thevarioustechnologiescanbeappliedaloneorcombinedandmaybestatic,recorded,ordeliveredinrealtime.

Definitions

DeepfakesareAI-manipulateddigitalmediaintext,image,audio,orvideoformatsthatreplicatesomethingthatisrealoralterkeycharacteristicsofsomethingthatisrealwhichmaychangehowthemediaisinterpreted.Thewordisaportmanteaucombiningthetechnicaltermdeeplearningwithfake.

VoiceClonesareAI-manipulatedaudiomediathatreplicatethevoiceofaspecificperson.Itisatypeofsyntheticvoiceandasubcategoryofdeepfakes.

DeepfakeTechnologyCategories

Words&SoundsVisuals

voicbt··TMSource:Voicebot2023bpindrop

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PAGE5

Audio

INTRODUCTION

ThereisaComplexitySpectrumofDeepfakeTechnology

DeepfakeSolutionComplexityMap

Synthetic

Complexity

VoiceClones

SyntheticVoice

Voice

DigitalTwin

VirtualHuman

De-aging

ceSwappingAugmentation

Modulation

Virtual

Proximity

Efect

Touch-up

Fa

SyntheticComplexity

pindrop

Human

Video

●

Source:Voicebot2023

Deepfakesarenotrepresentedbyasingletechnology,technique,ormodality.Varioususecasesforreplicatinghumanlikenessandbiometricfeaturesinvolvedifferentlevelsoftechnicalcomplexity.Ingeneral,themoretechnicalcomplexity,theloweravailabilityinthemarket.However,thereareexceptions.Inexpensive(orfree)andrelativelyhighqualityvoiceclonesareavailabletojustaboutanyonetoday,asaresyntheticvoices.

Anotherfactortoconsideriswhetherthedeepfakeisappliedtorecordedmedia(staticordynamic)orrealtimecommunications.Thecomplexityforthelatterishigherbutitcansometimesbemoreeffectivebecausetheotherpartydoesn’thavetimetocontemplateandreviewthesituation.Theyreacttotheexchangeandmaynotpickuponthesubtledifferencesbetweenrealandfake.Theymayeventhinkindicatorsareareflectionoftheinternetconnectionoraudiochannel.

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PAGE6

Deepfake

.

VoiceClone

INTRODUCTION

VoiceCloneAwarenessisHigherThanDeepfakes,ConcernisSimilar

MorethanhalfofU.S.adultsareawareofdeepfakesandvoiceclones,withthelatterregisteringsignificantlymorerecognition.Thismaynotbesurprisinggiventhatoneofthetermsisexoticwhiletheothercombineseasilyrecognizedeverydaywords.

DeepfakeandVoiceCloneAwareness

AmongConsumers

54.6%

34.7%

YesNo107%Notsure

63.6%

27.0%

YesNo94%Notsure

.

Consumersthatareawareofdeepfakesandvoiceclonesexpressagreatdealofconcernwithabout60%inbothcategoriessayingthey

wereeither“very”or“extremely”concernedandover90%expressing

someconcern.

DeepfakeandVoiceCloneConcern

AmongConsumers

Deepfake

VoiceClone

60.4%VeryConcerned

37.6%22.8%18.8%13.4%

ExtremelyVeryModeratelySlightly

NotAtAll5.4%

NotSure2.0%

57.9%VeryConcerned

34.6%

Extremely

23.3%

Very

19.5%12.8%

ModeratelySlightly

NotAtAll7.5%

NotSure2.3%

Source:Voicebot2023

©VOICEBOT.AI-AllRightsReserved2023

Source:Voicebot2023

PAGE7

INTRODUCTION

Banking,Government,andMediaAreTopConcerns

DomainsWhereConsumersareMostConcernedAboutVoiceClones

67.5%

54.9%

54.5%

BankingPolitics/government

Media/disinformation

Healthcare InsuranceHomeUtilities GamesSports

Other

Noneoftheabove

Thebiggestareasofconsumerconcernrelatetoareas

wheresensitivepersonalidentifiableinformation(PII)is

atriskandwherefalsepublicinformationcouldhave

negativeconsequences.

50.1%

48.3%

Notably,“Healthcare”and“Insurance”concernsare

significantlyoutpacedby“Banking.”Whenitcomesto

deepfakesconcerns,thepotentialforfraudistopof

mindandpeopleassociatethatwithmoney.

28.3%

17.1%

15.8%6.2%

4.4%

NestledbetweenthosestaplesofPII-heavyconsumer

servicesare“Government”and“Media.”Bothcanbe

subjecttodeepfake-laceddisinformationandcould

leadthepublictocounterproductiveactions.

V。cb。ta

pindrop

Source:Voicebot2023

Otherareasofconcernarefarlowerwithonly“Home

Utilities”breakingthe20%level.Andthe6.2%for“Other”

suggestsconsumerimaginationislimitedinthescope

ofthreatstheymayface.

PAGE8

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INTRODUCTION

ManyConsumersThinkCompaniesareDeepfakeReady

Whileconsumersexpresssignificantconcernaboutdeepfakesandvoiceclones,thereisahighdegreeofuncertaintyaboutthereadinessofleadinginstitutions.Around25%ofU.S.consumerssaytheyare“NeutralorUnsure”thatbusinessesarereadyfornefarioususesofthetechnologyacrosskeyindustries.

Consumersaremostconfidentthat“Banks,Insurance&Healthcare”havealreadytakenstepstoprotectthemagainstrisks.About40%expressedatleast“SomewhatHigh”confidence.Giventhenewnessofthetechnologyandveryrecentemergenceofdetectionsolutions,itappearsconsumerexpectationsmayexceedreality.

The“Low”confidencecategoriesarefarhigherfor“News”and“SocialMedia.”Thisissignificantasthesearechannelsdrivingthehighestnumberofencounters.

ConsumerConfidenceinDeepfakeandVoiceCloneProtectionforKeyAt-RiskIndustries

ExtremelyHigh

VeryHigh

SomewhatHigh

NeutralorUnsure

SomewhatLow

VeryLow

ExtremelyLow

14.9%

13.4%

12.7%

8.2%

8.3%

9.2%

12.6%

10.5%

16.7%

23.2%

26.2%

29.5%

14.1%

16.6%

14.9%

13.9%

11.4%

9.9%

16.3%

11.6%

6.1%

SocialMedia

NewsMedia

Banks,Insurance

&Healthcare

Source:Voicebot2023

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INTRODUCTION

SentimentSkewsTowardtheExtremes

DeepfakeandVoiceCloneSentiment

ExtremelypositiveVerypositive

Slightlypositive

Neutral

SlightlynegativeVerynegative

Extremelynegative

don’tknow/notapplicable

22.3%

9.9%

18.8%

8.8%

6.2%

6.9%

11.8%

14.9%

10.8%

11.7%

15.6%

15.7%

22.3%

1.0%

Deepfake

1.8%

21.6%

VoiceClone

Source:Voicebot2023

Mostconsumersentimentisdrivenbytheextremesofpositiveandnegativeaspectsofdeepfakeandvoiceclonetechnologies.Infact,theresultslookalotlikeaninversenormaldistribution.

Overall,theunaidedpositivesentimentfordeepfakeswas38.5%to48.8%negative.Thefigureswere34.3%positiveto49.1%negativeforvoiceclones.Thisreflectsameasurablenegativesentimentbias.

Interestingly,consumersthatexpressedthehighestlevelsofconcernweresignificantlymorelikelytoexpresspositivesentimentaboutbothtechnologies.Deepfakesregistered51.7%positiveandvoiceclonesshowed45.6%amongthe“Very”and“Extremely”concerned.Itappearsthatmorefamiliaritymayleadtobothmorepositiveinterestandmoreconcern.Theseconsumersbetterappreciatethebenefitsandtherisks.

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PAGE10

49.0%

42.8%

37.9%

31.3%

27.5%

36.2%

35.4%

26.6%25.9%

25.7%

33.1%

32.6%

21.9%22.6%

15.4%

21.2%

15.0%

14.8%

12.9%

10.9%

7.8%

7.3%

INTRODUCTION

SocialMediaAcceleratesDeepfakeExposure

Consumersaremostlikelytoencounterdeepfakesandvoiceclonesonsocialmedia.ThetopfourresponsesforbothcategorieswereYouTube,TikTok,Instagram,andFacebook.YouwillnotethebiastowardvideoontheseplatformsasYouTubeandTikTokencountersweremateriallyhigher.Grantedalloftheseplatformshavevideo,buttwousethemediaexclusively.

Movies,thenewsmedia,andtelevisionfollowedcloselybehindFacebookandInstagram.Exposureisbroadbased.However,deepfakesexperienceexceedsvoiceclonesforalltopmediasourceswhichsuggeststhatconsumersweremorelikelytoexperiencedeepfakesacrossmultiplechannelsItalsomayrevealthatmanypeopleknowofvoiceclonesbuthavenotpersonallyencounteredthem.

ConsumersweremorelikelytoencountervoiceclonesonaudiochannelssuchasSpotifyandphonecalls.Theywerealsosignificantlymorelikelytohavecreatedtheirownvoiceclone.

DeepfakeConsumerEncountersbyChannel

39.7%

YouTube

TikTok

Instagram

Facebook

Movies/documentaries

Newsmedia

Television

Snapchat

12.7%

Videogames

Spotify

11.3%

Onacall

7.6%

I'vecreateda

deepfake/voiceclone

5.5%

Deepfake

VoiceClone

Notsure/noneoftheabove

3.6%

Ihavenotseenorheard

anydeepfakes/voiceclones

Source:Voicebot2023

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INTRODUCTION

ATaleofTwoOutcomes

Thereisaperfectstormofsupplyanddemandfordeepfakesandvoiceclonesduetoaconvergenceofrisingqualityandeaseofaccesscombinedwithmassdistributionthroughsocialandtraditionalmedia.Thenoveltyandpracticalbenefitshaveledtomanypositiveusesalongwithconsumerinterest.Atthesametime,theenhancedrealismisincreasinglyembracedbybadactorsfornefariouspurposes.

Deepfakesandvoiceclonesmayhaveintroducedthe“bestoftimes”forcreativepursuits.However,ifyouarefocusedonfraudprevention,copyrightmonitoring,orjustwanttoprotectyourreputation,areyoureadyfor“theworstoftimes?”Thepositiveapplicationswilltakecareofthemselves.Therealquestionishowtoidentifyandmitigatetherisksposedbynegativeuses.

Consumersentimentandexperiencewithdeepfakesandvoiceclonesserveasabackdropfortheseconsiderations.Whataretheirexpectations?Whataretheirfears?Howwilltheyreacttoorganizationalactionornon-actiontotherisks?Whatdotheywant?Answerstothesequestionswillinfluencehowenterprisesapproachtheriskposedbythesetechnologiesandthelevelofurgency.

Thedataandconclusionsabovereflectsasmallsampleofthefindingsinthisreport.Onthefollowingpages,youwillfindadditionalanalysisofconsumersentimentandexperiencebrokendownbymediaconsumption,age,income,andgender.Youwillalsofindasummaryofsomehigh-profilepositiveandnegativeexamplesofdeepfakeandvoicecloneuse.

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DeepfakeandVoiceCloneScams,

AttackVectors,andPositiveUses

SCAMS,VECTORS,ANDPOSITIVEUSES

TheGood,theBad,andtheUglyofDeepfakes

Deepfakesandvoicecloneshaveshownupingood,bad,anddownrightuglycircumstances.Animportantreasonthatthetechnologyawarenessishighisthatithasappearedinnumeroussituationsoverthepasttwoyears.

Fromapositiveperspective,majormediaandsocialmediacreatorshaveemployedthetechnologyforitsentertainmentvalue.Gamershaveusedittoaddmorefuntotheirin-sessionvoicechatsandpeoplehaveemployedittoprankfriends.Voiceclonesarealsousedasprosthesesforpeoplethathavelosttheabilitytospeaknaturally.

However,thenegativeusesareontherise.Scamsdistributedonsocialmediaandthroughphonecallsaretargetingeverydayconsumers.Criminalshave

usedthetechnologytoimpersonateacorporateofficersandstealmillionsofdollarsfromacompanybankaccount.Theyhavestolenthousadsbyimpersonatinggrandchildren.SomeoneevenusedadeepfaketoimpersonateUkrainePresidentVolodymyrZelenskyandinfluencethewar.Thelikenessofpoliticalfigures,celebrities,andfamilymembershaveallbeenusedtodefraud.

Theproblemislikelytogetworseasthetechnology’squalityandeaseofaccessrisewhilecostsdeclines.However,itisnotanentirelydiresituation.Detectiontoolsareemergingandtherearealotofpositiveusecasesproliferatingalongsidethenefarious.Thefollowingpageshighlightseveralrecentexamplesofpositiveandnegativeusesofdeepfakesandvoiceclones.Youwillseethatthebenefitsandrisksshowupinavarietyofforms.

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PAGE14

SCAMS,VECTORS,ANDPOSITIVEUSES

DeepfakeSimonCowellWowsAGTFans

Background

MetaphysicappearedonAmerica’sGotTalent(AGT)tohighlightitsdeepfaketechnology’sentertainmentvalue.

Venue

ThesolutionappearedinthreedifferentAGTshows:oncewithasinglesingerreplicatingCowell,anotherasatrioincludingotherjudges,andathirdthatbroughtbackanElvislikenessandvoiceclone.

Result

Metaphysic’sperformancemadeittothefinalsfor2022andfinishedthecompetitionasfourthoverall.

“Thisisthebestact,Ibelieve,oftheseries.”SimonCowell,AGTCreator

DeepfaketechnologycompanyMetaphysicenteredtheAmerica’sGotTalentvarietyshowcompetitionwithareplicaofshowcreatorandjudgeSimonCowell.

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PAGE15

SCAMS,VECTORS,ANDPOSITIVEUSES

De-agingRobertDeNiro

Background

TheIrishmanchronicledthelivesofmafiaandunionfiguresoverfourdecadesandusedacombinationofdeepfakeandCGItechnologyforde-agingRobertDeNiro,AlPacino,JoePesci,andotheractors.

Venue

Netflixmovie2019.

Result

includingfortheAcademyAwards.

Thefilmreceivedseveralnominationsforbestvisualeffectsawards,

“De-agingisinvaluablewhenyouhavethreeactorstryingtocoverfivedecades’worthoftime.”AngelaWatercutter,WIRED

DeepfaketechnologywasusedinTheIrishmantodigitallyde-ageRobertDeNiroandotheractorstoportraythematseveraldifferentages.

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PAGE16

SCAMS,VECTORS,ANDPOSITIVEUSES

BringingAndyWarholtoLife

Background

PopartistAndyWarholleftbehindover20,000diarypages.ThesebecamethesourcematerialforTheAndyWarholDiariesdocumentaryandthedirectorwantedtoanimatethewordswithareplicaoftheartist’svoice.

Venue

Thevoiceclonewasusedinasix-partNetflixdocumentary.

Result

TheAndyWarholDiariesreceivedanEmmynominationforbesttelevisiondocumentaryin2022.

“WhenIfirstheardtheAI-createdvoice,IfeltconfidentitwasgoingtobeanincrediblyeffectivewaytobringWarhol’sdiariestolifeandhumanizetheenigmaticartist.”MichaelDaytonHermann,TheAndyWarholFoundation

AdocumentarybasedontheprivatediariesofAndyWarholemployedavoiceclonetorepresenttheartiststhoughtsina2022documentary.

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PAGE17

SCAMS,VECTORS,ANDPOSITIVEUSES

VoiceCloneFraudUsedtoSteal$35Million

TheScam

AHongKongbranchmanagerreceivedacallfromsomeoneimpersonatingtheJapanesecompany’sdirectorusingavoiceclone.Hewasaskedtoauthorizeabanktransferforanacquisition.Themanagerbelieveditwaslegitimatebecauseherecognizedthevoiceanditmatchedarequestinhackedemailcorrespondence.

DistributionVector

Voicecloneusedinaphonecallandconfirmedbyemails..

Impact

Stolenfunds,totaling$35million,weretracedtoatleast17individuals,andsenttobankaccountsworldwide.

“Audioandvisualdeepfakes[...pose]ahugethreattodata,moneyandbusinesses.”JakeMooreESET

Avoicecloneofacompanydirectorwasemployedtoconvinceabranchmanagertoauthorizethetransferof$35millionforan“acquisition”thatwasactuallyascam.

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PAGE18

SCAMS,VECTORS,ANDPOSITIVEUSES

DeepfakeFraudImitatingaConsumerAdvocate

TheScam

AvideofeaturingadeepfakeofMartinLewis,thewellknownUKconsumeradvocate,discussinganinvestmentin‘QuantumAI,’falselylinkedtoElonMusk.Thevideo’srealismmadeitconvincingtoviewers.

DistributionVector

ThevideoinitiallyappearedonFacebookandwasreportedonInstagramandTwitter.

Impact

Lewiscriticizedthelackofsocialmediaplatformssafeguardsthatallowdeepfakescamstothrive.Totallossesfromthescamareunkown.

“Thisisadeepfake…we’renotquitesureoftheexacttech...Weareinadangerousdystopianfuture,andnothingisbeingdonetoprotectpeople.”

AdeepfakeofMartinLewis,atrustedconsumeradvocateintheUK,wasusedinavideosharedonsocialmediatopromoteafakeappandinvestmentopportunitysupposedlyassociatedwithElonMusk.

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PAGE19

SCAMS,VECTORS,ANDPOSITIVEUSES

DeepfakeFraudImitatingaPopularYouTubeCreator

TheScam

linkandsignupfora$2iPhone15Progiveaway.

AdeepfakeadfeaturingadigitaltwinofMrBeastaskedviewerstoclicka

DistributionVector

includingFacebook,Instagram,andTwitter.

1Thedeepfakeadwasinitiallyidentifiedonsocialmediaplatforms,

Impact

discussionsaboutdeepfakerisks.

Itisunclearhowmanypeoplefellforthescam.Theincidentprompted

“Thishighlightstheurgentneedforrobustmeasuresagainstdeceptivedeepfakecontent.We’renavigatingunchartedterritory,andplatformsmustprioritizeprotectivemechanismstocountertherisks.”MrBeast

AdeepfakeofpopularYoutuberMrBeast(JimmyDonaldson)wasusedinavideosharedonsocialmediainducingfollowerstosignupforafraudulentiPhonegiveaway.

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PAGE20

SCAMS,VECTORS,ANDPOSITIVEUSES

VoiceCloneFraudImitatingaGrandchild

TheScam

Acallismadebyanimpersonatorusingavoicecloneofagrandchildthatclaimstobeintroubleandinneedofmoneyquicklyforbail,topayalawyer,ortopay-offkidnappers.Cashinthentypicallyexchanged.

DistributionVector

Phonecall.

Impact

ArecentseriesofincidentsinCanadaledtomorethan$40,000inlossesbydupedgrandparentsinoneareaandover$200,000inanother.

“You’ddoanythingforyourgrandchildren.Andtheytookadvantageofthat.”Grandmotherdupedinscam.”asreportedbyCBC

Voiceclonesareusedtoimitatealovedoneorfriendonaphonecallandaskformoneytogetthemoutofjail,payforatowtruck,orsavethemfromakidnapper.

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SCAMS,VECTORS,ANDPOSITIVEUSES

DeepfakeDisinformationAttemptstoInfluenceaWar

TheDisinformation

Arelativelylow-qualitydeepfakeofUkrainepresidentVolodymyrZelenskysoughttosowdisinformationbymakingthemilitarybelievethatthecountryhadsurrenderedtoRussia.

DistributionVector

HackerspublisheditonaUkrainiannewswebsiteandsocialmedia.ItalsoappearedinaUkrainianTVnewsbroadcast.

Impact

Thedeepfakewasquicklyidentifiedandremoved.

“Itpollutestheinformationecosystem,anditcastsashadowonallcontent,whichisalreadydealingwiththecomplexfogofwar.”HanyFarid,UCBerkeley

AdeepfakeofVolodymyrZelenskyportrayedtheUkrainePresidentasinstructingthemilitaryandcitizenstolaydowntheirarmsintheconflictwithRussia.

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PAGE22

DeepfakeConsumer

Awareness&Sentiment

DEEPFAKECONSUMERAWARENESS&SENTIMENT

DeepfakeisNoLongeranObscureTechnicalTerm

•OverhalfofU.S.adultsreportawarenessofdeepfaketechnology,withjustoverone-thirdsayingtheyhavenotheardofitandanother10.6%unsure.

•Thisawarenessisnotnecessarilygroundedinacommondefinitionorcommonsentiment,asyouwillseeinthisreport.However,itdoessuggestthatwhatwasjustrecentlyanobscureAItechnologyhasquietlygainedatleastsurface-levelawareness

amongconsumers.

•Theemergentnatureofconsumerexposuretodeepfakes,combinedwithsocio-economicandgenderdifferences,hasalsoledtodivergentviewsonthemeritsofthetechnology.

DeepfakeAwarenessAmongConsumers

10.6%54.7%

I’mnotYes

sure

34.7%

No

●

pindrop

Source:Voicebot2023

©VOICEBOT.AI-AllRightsReserved2023

PAGE24

A

l

l

5

4

.

7

%

A

l

l

5

4

.

7

%

66.1%Men

DEEPFAKECONSUMERAWARENESS&SENTIMENT

MenReportHigherDeepfakeAwareness

DeepfakeAwarenessbyGender

42.2%

Women

●

pindrop

Source:Voicebot2023

•Menreportawarenessofdeepfaketechnologyatfarhigherratethanwomen.Over66%ofmensaidtheywerefamiliarwithdeepfakescomparedtoonly42%ofwomen.

•Menaremoreconcernedthanwomenaboutdeepfakes.Theyarealso50%morelikelytohavecreatedadeepfakethanwomen,thoughbothfiguresarelessthan10%ofthegroupthatknowsofdeepfakesandlessthan4%ofthetotalU.S.adultpopulation.

•